Genetic architecture of Alzheimer's disease
Open accessAbstract
Advances in genetic and genomic technologies over the last thirty years have greatly enhanced our knowledge concerning the genetic architecture of Alzheimer's disease (AD). Several genes including APP, PSEN1, PSEN2, and APOE have been shown to exhibit large effects on disease susceptibility, with the remaining risk loci having much smaller effects on AD risk. Notably, common genetic variants impacting AD are not randomly distributed across the genome. Instead, these variants are enriched within regulatory elements active in human myeloid cells, and to a lesser extent liver cells, implicating these cell and tissue types as critical to disease etiology. Integrative approaches are emerging as highly effective for identifying the specific target genes through which AD risk variants act and will likely yield important insights related to potential therapeutic targets in the coming years. In the future, additional consideration of sex- and ethnicity-specific contributions to risk as well as the contribution of complex gene-gene and gene-environment interactions will likely be necessary to further improve our understanding of AD genetic architecture.
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Written from the paper’s full text.
TL;DR
This review synthesizes the genetic architecture of Alzheimer’s disease, covering rare high-effect mutations in APP, PSEN1, and PSEN2, the major risk factor APOE, and many small-effect common variants. It argues that AD risk variants are enriched in regulatory elements active in myeloid immune cells and that integrative functional genomics is needed to identify causal genes and therapeutic targets.
Key findings
- Autosomal dominant AD is rare (<1% of cases) and mostly caused by mutations in APP, PSEN1, or PSEN2; PSEN1 mutations are the most common monogenic cause, with over 350 mutations identified as of April 2020 and an estimated ~80% contribution to monogenic AD, while PSEN2 has only around 30 known ADAD mutations.
- APOE is the strongest common genetic risk factor: APOEε3 is present in almost 80% of individuals, APOEε4 in ~14%; Caucasian APOEε4 homozygotes have on average a 15-fold increased LOAD risk versus non-carriers, one ε4 allele gives ~3-fold risk, and risk estimates differ by ethnicity (e.g., up to 30-fold in Japanese ε4 homozygotes, weaker or absent associations in some African-American, Hispanic, and Nigerian groups).
- GWAS have identified many small-effect LOAD loci beyond APOE; the most recent meta-analysis included over 95,000 individuals across 46 datasets and validated over 20 loci, including BIN1, CD2AP, CLU, ABCA7, and INPP5D, while common variants explain only about 30% of AD heritability.
- AD-associated common variants are not randomly distributed: they are enriched in regulatory elements active in immune/hematopoietic cells, especially monocytes, macrophages, and microglia, and to a lesser extent liver cells, with no enrichment in bulk brain datasets; rare variants such as TREM2 R47H also implicate microglial immune function.
Methods
- Narrative review of genetic and functional genomic studies of Alzheimer’s disease, including monogenic AD, APOE, GWAS, rare variants, polygenic risk scores, endophenotype GWAS, somatic variation, copy number variation, sex-specific architecture, and model systems.
- No primary data collection, sample, or statistical analysis is reported; the paper synthesizes published findings and publicly available annotation resources.
- Key cited analyses include GWAS meta-analyses, rare-variant sequencing studies, functional annotation enrichment analyses, eQTL colocalization, and PRS studies.
Limitations
- The paper states that GWAS cannot identify the causal variant or gene in an associated region, that common variants explain only ~30% of AD heritability, and that over 25% of variance remains unexplained by known genetic factors.
- It notes that most functional annotation data come from healthy donors, that sex- and ethnicity-specific contributions are understudied, and that gene-gene and gene-environment interactions are difficult to identify; disease heterogeneity and mixed pathologies may also reduce GWAS power.
- Evident from the text: as a narrative review, it does not report a systematic search strategy or formal quality assessment of included studies.
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Claims the paper makes
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- Premisecitation
Common polymorphisms in the gene apolipoprotein E (APOE) are the most significant genetic risk factor for Alzheimer's disease.
“common polymorphisms in the gene apolipoprotein E (APOE) are the most significant genetic risk factor for AD [52–54].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [52] Pericak-Vance MA, Bebout JL, Gaskell PC Jr., Yamaoka LH, Hung WY, Alberts MJ, … (1991). Linkage studies in familial Alzheimer disease: evidence for chromosome 19 linkage. American journal of human genetics, 48(6), 1034– 1050. 2035524 PMC1683100
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- Premisecitation
The effect of APOEε4 on Alzheimer's disease risk differs across ethnicities.
“the effect of APOEε4 has been reported to differ across ethnicities [58–61]”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [58] Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, … van Duijn CM (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA: the journal of the American Medical Association, 278(16), 1349– 1356. 9343467 source
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- Premisecitation
A majority of ADAD families carry a pathogenic mutation in one of three genes: APP, PSEN1, or PSEN2.
“A majority of ADAD families carry a pathogenic mutation in one of three genes: APP, presenilin 1 (PSEN1), or presenilin 2 (PSEN2) [2, 33].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [2] Cacace R, Sleegers K, & Van Broeckhoven C (2016). Molecular genetics of early-onset Alzheimer’s disease revisited. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(6), 733– 748. 27016693 source
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- Premisecitation
PSEN2 mutations are much rarer, with only around 30 mutations identified in ADAD families.
“PSEN2 mutations are much rarer, with only around 30 mutations identified in ADAD families [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Cacace R, Sleegers K, & Van Broeckhoven C (2016). Molecular genetics of early-onset Alzheimer’s disease revisited. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(6), 733– 748. 27016693 source
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More than 50 highly penetrant mutations have been identified in APP.
“To date, more than 50 highly penetrant mutations have been identified in APP [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Cacace R, Sleegers K, & Van Broeckhoven C (2016). Molecular genetics of early-onset Alzheimer’s disease revisited. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(6), 733– 748. 27016693 source
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Mutations in the Aβ domain itself alter the hydrophobicity and downstream aggregation propensity of Aβ peptides, leading to an increase in plaque load.
“Mutations in the Aβ domain itself alter the hydrophobicity and downstream aggregation propensity of Aβ peptides, leading to an increase in plaque load [36].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Tcw J, & Goate AM (2017). Genetics of beta-Amyloid Precursor Protein in Alzheimer’s Disease. Cold Spring Harbor perspectives in medicine, 7(6). 10.1101/cshperspect.a024539 PMC5453386 28003277 source
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Estimates of heritability for early-onset Alzheimer's disease (EOAD) are as high as 90-100%.
“Estimates of heritability for EOAD are as high as 90–100% [24]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Wingo TS, Lah JJ, Levey AI, & Cutler DJ (2012). Autosomal recessive causes likely in early-onset Alzheimer disease. Archives of neurology, 69(1), 59– 64. 21911656 PMC3332307 source
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Familial EOAD mutations in PSEN1 and PSEN2 typically result in an increased production of longer and more aggregation-prone derivatives of APP such as Aβ1-42.
“familial EOAD mutations in PSEN1 and PSEN2 typically result in an increased production of longer and more aggregation-prone derivatives of APP such as Aβ1–42 [47–49].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [47] Citron M, Westaway D, Xia W, Carlson G, Diehl T, Levesque G, … Selkoe DJ (1997). Mutant presenilins of Alzheimer’s disease increase production of 42-residue amyloid beta-protein in both transfected cells and transgenic mice. Nature medicine, 3(1), 67– 72. 8986743 source
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- Premisecitation
Heritability estimates for late-onset Alzheimer's disease (LOAD) are in the range of 60-80%.
“heritability estimates for LOAD are slightly lower, in the range of 60–80% [25]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Gatz M, Pedersen NL, Berg S, Johansson B, Johansson K, Mortimer JA, … Ahlbom A (1997). Heritability for Alzheimer’s disease: the study of dementia in Swedish twins. The journals of gerontology. Series A, Biological sciences and medical sciences, 52(2), M117– 25. 9060980 source
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- Premisecitation
APP mutations occurring near the β-secretase cleavage site, such as the Swedish mutation (K670N/M671L), appear to result in increased production of total Aβ.
“mutations occurring near the βsecretase cleavage site, such as the Swedish mutation (K670N/M671L), appear to result in increased production of total Aβ [34, 35].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [34] Busciglio J, Gabuzda DH, Matsudaira P, & Yankner BA (1993). Generation of beta-amyloid in the secretory pathway in neuronal and nonneuronal cells. Proceedings of the National Academy of Sciences of the United States of America, 90(5), 2092– 2096. 8446635 PMC46027 source
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A protective mutation in APP (A673T) identified in the Icelandic population results in approximately a 40% reduction in the formation of amyloidogenic peptides.
“a protective mutation in APP (A673T) identified in the Icelandic population [38] results in approximately a 40% reduction in the formation of amyloidogenic peptides.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] Jonsson T, Atwal JK, Steinberg S, Snaedal J, Jonsson PV, Bjornsson S, … Stefansson K (2012). A mutation in APP protects against Alzheimer’s disease and age-related cognitive decline. Nature, 488(7409), 96– 99. 22801501 source
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- Premisenone given
PSEN1 mutations are estimated to contribute to around 80% of monogenic AD.
“PSEN1 mutations are estimated to contribute to around 80% of monogenic AD.”
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The effects of the chromosome 8 and 11 loci were attributed to nearby genes, clusterin (CLU) and phosphatidylinositol binding clathrin assembly protein (PICALM), respectively.
“The effects of these loci were attributed to nearby genes, clusterin (CLU) and phosphatidylinositol binding clathrin assembly protein (PICALM), respectively.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Regulation of MAPT splicing and exclusion of exon 3 may promote Alzheimer's disease independently of APOEε4 genotype.
“the findings here provide a putative mechanism by which regulation of MAPT splicing and exclusion of exon 3 may promote AD independently of APOEε4 genotype.”
Quote in the paperSubstantial claim - Premisecitation
A large transethnic GWAS utilizing samples from Caucasians, African Americans, Japanese, and Israeli-Arabs identified several loci contributing to disease risk in all populations.
“a large transethnic GWAS utilizing samples from Caucasians, African Americans, Japanese, and Israeli-Arabs identified several loci contributing to disease risk in all populations [101].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] Li YR, & Keating BJ (2014). Trans-ethnic genome-wide association studies: advantages and challenges of mapping in diverse populations. Genome medicine, 6(10), 91. 25473427 PMC4254423 source
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- Premisecitation
Several genome-wide significant loci not previously detected at the SNP level have been identified using gene-based approaches, including those assigned to TP53INP and PPARGC1A.
“Several genome-wide significant loci not previously detected at the SNP level have been identified using gene-based approaches, including those assigned to TP53INP [115] and PPARGC1A [116].”
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- Premisecitation
APOEε4 modifies the age at onset in both EOAD and LOAD.
“APOEε4 has been shown to modify the age at onset in both EOAD and LOAD [64–66].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [64] Houlden H, Crook R, Hardy J, Roques P, Collinge J, & Rossor M (1994). Confirmation that familial clustering and age of onset in late onset Alzheimer’s disease are determined at the apolipoprotein E locus. Neuroscience letters, 174(2), 222– 224. 7970184 source
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- Premisecitation
Utilizing multiple ethnic groups in GWAS enhances the ability of researchers to identify putative causal variants in associated loci due to variations in LD structure across populations.
“Utilizing multiple ethnic groups in GWAS also enhances the ability of researchers to identify putative causal variants in associated loci due to variations in LD structure across populations [101].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [101] Li YR, & Keating BJ (2014). Trans-ethnic genome-wide association studies: advantages and challenges of mapping in diverse populations. Genome medicine, 6(10), 91. 25473427 PMC4254423 source
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- Premisecitation
Among APOEε4− subjects, several novel associations between Alzheimer's disease risk and SNPs near the MAPT locus were identified.
“Among APOEε4− subjects, several novel associations between AD risk and SNPs near the MAPT locus were identified.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [107] Jun G, Ibrahim-Verbaas CA, Vronskaya M, Lambert J-C, Chung J, Naj AC, … Farrer LA (2016). A novel Alzheimer disease locus located near the gene encoding tau protein. Molecular psychiatry, 21(1), 108– 117. 25778476 PMC4573764 source
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- Premisecitation
Seven of the earliest GWAS, each of which used less than 2,000 cases, identified only APOE as significantly associated with Alzheimer's disease.
“seven of the earliest GWAS, each of which used less than 2,000 cases, identified only APOE as significantly associated with AD [84–90].”
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- Interpretationcitation
The APOEε4 isoform exhibits some dominant effect over the APOEε2 isoform.
“APOEε2/APOEε4 individuals are still at increased risk for AD, suggesting the APOEε4 isoform exhibits some dominant effect over the APOEε2 isoform [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, … van Duijn CM (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA: the journal of the American Medical Association, 278(16), 1349– 1356. 9343467 source
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- Premisecitation
Individuals who inherited the APOEε4 allele from an African ancestor had a lower risk of developing Alzheimer's disease than an individual who inherited APOEε4 from a European ancestor.
“individuals that inherited the APOEε4 allele (and surrounding region) from an African ancestor had a lower risk of developing AD than an individual who inherited APOEε4 from a European ancestor [62, 102].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [62] Rajabli F, Feliciano BE, Celis K, Hamilton-Nelson KL, Whitehead PL, Adams LD, … Pericak-Vance MA (2018). Ancestral origin of ApoE epsilon4 Alzheimer disease risk in Puerto Rican and African American populations. PLoS genetics, 14(12), e1007791. 30517106 PMC6281216 source
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- Premisecitation
Variation at the APOE locus is estimated to explain only a portion of the heritability of LOAD.
“variation at this locus is estimated to explain only a portion of the heritability of LOAD [76]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Ridge PG, Mukherjee S, Crane PK, Kauwe JS, & Alzheimer’s Disease Genetics, Consortium. (2013). Alzheimer’s disease: analyzing the missing heritability. PloS one, 8(11), e79771. 24244562 PMC3820606 source
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- Premisecitation
Approaches applied to the ABCA7 locus identified a deleterious frameshift deletion in ABCA7 present in African Americans with Alzheimer's disease at a higher frequency than either control African Americans or Caucasians.
“these approaches when applied to the ABCA7 locus identified a deleterious frameshift deletion in ABCA7 present in African Americans with AD at a higher frequency than either control African Americans or Caucasians [103].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [103] Cukier HN, Kunkle BW, Vardarajan BN, Rolati S, Hamilton-Nelson KL, Kohli MA, … Alzheimer’s Disease Genetics Consortium. (2016). ABCA7 frameshift deletion associated with Alzheimer disease in African Americans. Neurology. Genetics, 2(3), e79. 27231719 PMC4871806 source
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- Interpretationreasoning
Additional genetic variants play a significant role in determining an individual's risk for Alzheimer's disease.
“suggesting additional genetic variants play a significant role in determining an individual’s risk for disease.”
Quote in the paperSubstantial claim - Premisecitation
Only 2% of variants identified as associated with LOAD in the latest meta-analysis fell within exons.
“only 2% of variants identified as associated with LOAD in the latest meta-analysis fell within exons [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, … Environmental Risk for Alzheimer’s Disease, Consortium. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nature genetics, 51(3), 414– 430. 30820047 PMC6463297 source
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- Premisecitation
The larger 2009 GWAS, involving over 16,000 individuals, identified SNPs on chromosomes 8 and 11 as significantly associated with Alzheimer's disease risk.
“The larger of these, involving over 16,000 individuals, identified SNPs on chromosomes 8 and 11 as significantly associated with disease risk [91].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] Harold D, Abraham R, Hollingworth P, Sims R, Gerrish A, Hamshere ML, … Williams J (2009). Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nature genetics, 41(10), 1088– 1093. 19734902 PMC2845877 source
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- Premisecitation
The first association studies covering most of the genome were published in 2007.
“The first association studies covering most of the genome were published in 2007 [81, 82].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [81] Coon KD, Myers AJ, Craig DW, Webster JA, Pearson JV, Lince DH, … Stephan DA (2007). A high-density whole-genome association study reveals that APOE is the major susceptibility gene for sporadic late-onset Alzheimer’s disease. The Journal of clinical psychiatry, 68(4), 613– 618. 17474819 source
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- Premisecitation
Loss-of-function mutations in ABCA7 have been identified as associated with Alzheimer's disease risk in European populations.
“loss-of-function mutations in ABCA7 have been identified as associated with disease risk in European populations [104–106]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [104] Steinberg S, Stefansson H, Jonsson T, Johannsdottir H, Ingason A, Helgason H, … Stefansson K (2015). Loss-of-function variants in ABCA7 confer risk of Alzheimer’s disease. Nature genetics, 47(5), 445– 447. 25807283 source
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- Premisecitation
Missense variants with predicted deleterious effects on protein function have been identified by GWAS in TREM2, CR1, MS4A2, MS4A6A, TOMM40, IQCK, and CD33, among others.
“Missense variants with predicted deleterious effects on protein function have been identified by GWAS in TREM2, CR1, MS4A2, MS4A6A, TOMM40, IQCK, and CD33, among others [97, 113]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [97] Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, … Environmental Risk for Alzheimer’s Disease, Consortium. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nature genetics, 51(3), 414– 430. 30820047 PMC6463297 source
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- Premisecitation
The most accurate prediction results from a combined consideration of the PRS as well as additional predictors (APOE genotype, age, and sex).
“However, evidence suggests the most accurate prediction results from a combined consideration of the PRS as well as these additional predictors (APOE genotype, age, and sex) [123].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [123] Escott-Price V, Shoai M, Pither R, Williams J, & Hardy J (2017). Polygenic score prediction captures nearly all common genetic risk for Alzheimer’s disease. Neurobiology of aging, 49, 214 e7– 214 e11. 27595457 source
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Common variants identified by GWAS explain only 30% of the heritability of AD.
“Interestingly, estimates suggest common variants identified by GWAS explain only 30% of the heritability of AD [76]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Ridge PG, Mukherjee S, Crane PK, Kauwe JS, & Alzheimer’s Disease Genetics, Consortium. (2013). Alzheimer’s disease: analyzing the missing heritability. PloS one, 8(11), e79771. 24244562 PMC3820606 source
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- Premisecitation
Overlap in the genetic architecture between AD and other diseases has been reported, including type 2 diabetes and immune-mediated diseases such as Crohn's disease.
“Overlap in the genetic architecture between AD and other diseases has also been reported, including type 2 diabetes [124] and immune-mediated diseases such as Crohn’s disease [125, 126], although the precise mechanisms underlying this overlap remain to be elucidated.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [124] Hao K, Di Narzo AF, Ho L, Luo W, Li S, Chen R, … Pasinetti GM (2015). Shared genetic etiology underlying Alzheimer’s disease and type 2 diabetes. Molecular aspects of medicine, 43–44, 66– 76. PMC6021176 26116273 source
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- cites [125] Yokoyama JS, Wang Y, Schork AJ, Thompson WK, Karch CM, Cruchaga C, … Alzheimer’s Disease Neuroimaging, Initiative. (2016). Association Between Genetic Traits for Immune-Mediated Diseases and Alzheimer Disease. JAMA neurology, 73(6), 691– 697. 27088644 PMC4905783 source
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- cites [126] Potter H (2016). New Genetic Links Between Alzheimer Disease and Immune-Mediated Diseases Revealed by Overlapping Genome-wide Association Study Hits. JAMA neurology, 73(6), 638– 640. 27088554 source
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- Interpretationreasoning
Given the small effect sizes of loci other than APOE identified by GWAS, an individual's risk for Alzheimer's disease is likely determined by the combinatorial effect of multiple variants acting together across the genome.
“Given the small effect sizes of loci other than APOE identified by GWAS, it is likely an individual’s risk for AD is determined by the combinatorial effect of multiple variants acting together across the genome.”
Quote in the paperSubstantial claim - Premisecitation
Additional rare variants in TREM2 have been associated with AD risk.
“Since the identification of R47H, additional rare variants in TREM2 have been associated with AD risk [138–140]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [138] Benitez BA, Cooper B, Pastor P, Jin S-C, Lorenzo E, Cervantes S, & Cruchaga C (2013). TREM2 is associated with the risk of Alzheimer’s disease in Spanish population. Neurobiology of aging, 34(6), 1711.e15– 7. PMC3596468 23391427 source
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- cites [139] Jin SC, Benitez BA, Karch CM, Cooper B, Skorupa T, Carrell D, … Cruchaga C (2014). Coding variants in TREM2 increase risk for Alzheimer’s disease. Human molecular genetics, 23(21), 5838– 5846. 24899047 PMC4189899 source
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- cites [140] Jin SC, Carrasquillo MM, Benitez BA, Skorupa T, Carrell D, Patel D, … Ertekin-Taner N (2015). TREM2 is associated with increased risk for Alzheimer’s disease in African Americans. Molecular neurodegeneration, 10, 19. 25886450 PMC4426167 source
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- Premisecitation
GWAS variants were not associated with risk for familial EOAD inherited in an autosomal dominant fashion.
“Although GWAS variants were not associated with risk for familial EOAD inherited in an autosomal dominant fashion, the researchers noted that the sample size was small and that variant burden may have been associated with age at symptom onset in these families [26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Cruchaga C, Del-Aguila JL, Saef B, Black K, Fernandez MV, Budde J, … Harari O (2018). Polygenic risk score of sporadic late-onset Alzheimer’s disease reveals a shared architecture with the familial and early-onset forms. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 14(2), 205– 214. PMC5803427 28943286 source
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- Interpretationreasoning
TREM2 plays a critical role in the etiology of AD.
“highlighting the critical role of this protein in the etiology of AD.”
Quote in the paperSubstantial claim - Premisecitation
PRS incorporating only genome-wide significant SNPs show only a modest improvement in disease prediction over known risk factors such as APOEε4, age, and sex.
“PRS incorporating only genome-wide significant SNPs have showed only a modest improvement in disease prediction over known risk factors such as APOEε4, age, and sex [119–121].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [119] Sleegers K, Bettens K, De Roeck A, Van Cauwenberghe C, Cuyvers E, Verheijen J, … Belneu consortium. (2015). A 22-single nucleotide polymorphism Alzheimer’s disease risk score correlates with family history, onset age, and cerebrospinal fluid Abeta42. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 11(12), 1452– 1460. 26086184 source
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- cites [120] Chouraki V, Reitz C, Maury F, Bis JC, Bellenguez C, Yu L, … International Genomics of Alzheimer’s, Project. (2016). Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer’s Disease. Journal of Alzheimer’s disease: JAD, 53(3), 921– 932. 27340842 PMC5036102 source
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- cites [121] Yokoyama JS, Bonham LW, Sears RL, Klein E, Karydas A, Kramer JH, … Coppola G (2015). Decision tree analysis of genetic risk for clinically heterogeneous Alzheimer’s disease. BMC neurology, 15, 47. 25880661 PMC4459447 source
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- Interpretationreasoning
The genetic architecture of AD is more complex than that suggested by the "common disease, common variant" hypothesis GWAS is designed to test.
“suggesting the genetic architecture of AD is more complex than that suggested by the “common disease, common variant” hypothesis GWAS is designed to test [127].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [127] Guerreiro RJ, Gustafson DR, & Hardy J (2012). The genetic architecture of Alzheimer’s disease: beyond APP, PSENs and APOE. Neurobiology of aging, 33(3), 437– 456. 20594621 PMC2980860 source
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- Premisecitation
The R47H variant reduces the ability of TREM2 to bind ligands such as lipidated APOE.
“Evidence suggests the R47H variant reduces the ability of TREM2 to bind ligands such as lipidated APOE [137]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [137] Yeh FL, Wang Y, Tom I, Gonzalez LC, & Sheng M (2016). TREM2 Binds to Apolipoproteins, Including APOE and CLU/APOJ, and Thereby Facilitates Uptake of Amyloid-Beta by Microglia. Neuron, 91(2), 328– 340. 27477018 source
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- Premisecitation
The R47H variant in TREM2 confers elevated risk for AD.
“One of the most well-studied rare variants that confers elevated risk for AD is the R47H variant in TREM2 [131, 132].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [131] Jonsson T, Stefansson H, Steinberg S, Jonsdottir I, Jonsson PV, Snaedal J, … Stefansson K (2013). Variant of TREM2 associated with the risk of Alzheimer’s disease. The New England journal of medicine, 368(2), 107– 116. 23150908 PMC3677583 source
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- cites [132] Guerreiro R, Wojtas A, Bras J, Carrasquillo M, Rogaeva E, Majounie E, … Alzheimer Genetic Analysis, Group. (2013). TREM2 variants in Alzheimer’s disease. The New England journal of medicine, 368(2), 117– 127. 23150934 PMC3631573 source
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- Premisecitation
The contribution of rare variants to AD cannot be adequately assessed by GWAS.
“As mentioned above, the contribution of rare variants to AD cannot be adequately assessed by GWAS, although improved imputation methods are being developed to address this limitation [128].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [128] Kunkle BW, Jaworski J, Barral S, Vardarajan B, Beecham GW, Martin ER, … Pericak-Vance MA (2016). Genome-wide linkage analyses of non-Hispanic white families identify novel loci for familial late-onset Alzheimer’s disease. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(1), 2– 10. PMC4717829 26365416 source
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- Interpretationreasoning
There are still unidentified common variants that could contribute to disease.
“In addition, the increased power provided by expansion of the PRS beyond GWAS risk variants suggests that there are still unidentified common variants that could contribute to disease.”
Quote in the paperSubstantial claim - Interpretationreasoning
Expanding PRS beyond genome-wide significant SNPs likely better captures the underlying genetic architecture of AD.
“This approach likely better captures the underlying genetic architecture of AD, since as discussed above GWAS SNPs simply act as tagging variants for a given risk locus and are often not themselves the causal variants.”
Quote in the paperSubstantial claim- Rests on an assumption: GWAS SNPs simply act as tagging variants for a given risk locus and are often not themselves the causal variants.
- Premisecitation
Rare variants in PLCG2 and ABI3 have been associated with disease risk.
“For example, rare variants in PLCG2 and ABI3 have been associated with disease risk [130, 141].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [130] Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, … Schellenberg GD (2017). Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer’s disease. Nature genetics, 49(9), 1373– 1384. 28714976 PMC5669039 source
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- cites [141] Dalmasso MC, Brusco LI, Olivar N, Muchnik C, Hanses C, Milz E, … Ramirez A (2019). Transethnic meta-analysis of rare coding variants in PLCG2, ABI3, and TREM2 supports their general contribution to Alzheimer’s disease. Translational psychiatry, 9(1), 55. 30705288 PMC6355764 source
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- Premisecitation
Several genes harboring rare variants, including ADAM10 and SORL1, also emerge as candidates nominated by GWAS studies due to their proximity to AD-associated SNPs.
“Interestingly, several genes harboring rare variants, including ADAM10 [114] and SORL1 (discussed below), also emerge as candidates nominated by GWAS studies due to their proximity to AD-associated SNPs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [114] Marioni RE, Harris SE, Zhang Q, McRae AF, Hagenaars SP, Hill WD, … Visscher PM (2018). GWAS on family history of Alzheimer’s disease. Translational psychiatry, 8(1), 99. 29777097 PMC5959890 source
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- Premisecitation
Targeted sequencing analyses have provided insight into genetic modifiers of the age at first symptom onset in EOAD families.
“Targeted sequencing analyses have also provided insight into genetic modifiers of the age at first symptom onset in EOAD families [164, 165].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [164] Velez JI, Rivera D, Mastronardi CA, Patel HR, Tobon C, Villegas A, … Arcos-Burgos M (2016). A Mutation in DAOA Modifies the Age of Onset in PSEN1 E280A Alzheimer’s Disease. Neural plasticity, 2016, 9760314. 26949549 PMC4753688 source
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- cites [165] Lee JH, Cheng R, Vardarajan B, Lantigua R, Reyes-Dumeyer D, Ortmann W, … Mayeux R (2015). Genetic Modifiers of Age at Onset in Carriers of the G206A Mutation in PSEN1 With Familial Alzheimer Disease Among Caribbean Hispanics. JAMA neurology, 72(9), 1043– 1051. 26214276 PMC5010776 source
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- Premisecitation
There is evidence that alternative APP-derived fragments as well as APP itself play important roles in the modulation of immune cell activation, protein clearance, and lipid homeostasis.
“Indeed, there is evidence that alternative APP-derived fragments as well as APP itself play important roles in the modulation of immune cell activation [160], protein clearance [161], and lipid homeostasis [162].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [160] Sondag CM, & Combs CK (2004). Amyloid precursor protein mediates proinflammatory activation of monocytic lineage cells. The Journal of biological chemistry, 279(14), 14456– 14463. 14732706 source
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- cites [161] Lauritzen I, Pardossi-Piquard R, Bourgeois A, Pagnotta S, Biferi MG, Barkats M, … Checler F (2016). Intraneuronal aggregation of the beta-CTF fragment of APP (C99) induces Abeta-independent lysosomal-autophagic pathology. Acta neuropathologica, 132(2), 257– 276. 27138984 PMC4947121 source
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- cites [162] Grimm MO, Mett J, Grimm HS, & Hartmann T (2017). APP Function and Lipids: A Bidirectional Link. Frontiers in molecular neuroscience, 10, 63. 28344547 PMC5344993 source
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- Premisecitation
Sequencing studies have identified rare variants in APP, PSEN1, and PSEN2 that increase risk for LOAD.
“In support, sequencing studies have identified rare variants in APP, PSEN1, and PSEN2 that increase risk for LOAD [157].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [157] Cruchaga C, Haller G, Chakraverty S, Mayo K, Vallania FL, Mitra RD, … Nia-Load Ncrad Family Study Consortium. (2012). Rare variants in APP, PSEN1 and PSEN2 increase risk for AD in late-onset Alzheimer’s disease families. PloS one, 7(2), e31039. 22312439 PMC3270040 source
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- Premisecitation
A large portion of GWAS variants and even variants in high LD with the lead variant fall within non-coding regions of the genome, making their functional importance difficult to infer.
“A large portion of GWAS variants and even variants in high LD with the lead variant fall within non-coding regions of the genome, making their functional importance difficult to infer [168].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [168] Maurano MT, Humbert R, Rynes E, Thurman RE, Haugen E, Wang H, … Stamatoyannopoulos JA (2012). Systematic localization of common disease-associated variation in regulatory DNA. Science, 337(6099), 1190– 1195. 22955828 PMC3771521 source
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- Interpretationreasoning
These genes are causally involved in disease etiology.
“This provides further evidence these genes are causally involved in disease etiology and facilitates the interpretation of complex GWAS loci.”
Quote in the paperSubstantial claim - Interpretationreasoning
APP plays a role in disease pathogenesis beyond Aβ.
“suggesting APP plays a role in disease pathogenesis beyond Aβ.”
Quote in the paperSubstantial claim- Rests on an assumption: Aβ-targeting strategies have largely failed to produce disease-modifying therapeutics.
- Interpretationcitation
The same loci may contribute to both EOAD and LOAD.
“Common variants near SORL1 have also been identified as associated with disease through GWAS [96], suggesting the same loci may contribute to both EOAD and LOAD.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [96] Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, … Amouyel P (2013). Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nature genetics, 45(12), 1452– 1458. 24162737 PMC3896259 source
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- Premisecitation
Suppression of ABCA7 led to increased β-secretase-mediated processing of APP and subsequent elevation of Aβ species.
“Suppression of ABCA7 led to increased β-secretase-mediated processing of APP and subsequent elevation of Aβ species [151].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [151] Satoh K, Abe-Dohmae S, Yokoyama S, St George-Hyslop P, & Fraser PE (2015). ATP-binding cassette transporter A7 (ABCA7) loss of function alters Alzheimer amyloid processing. The Journal of biological chemistry, 290(40), 24152– 24165. 26260791 PMC4591804 source
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- Premisecitation
De novo variants in APP, PSEN1, and PSEN2 have been identified by sequencing in sporadic cases of EOAD that occur with no family history of disease.
“Although causal variants in these genes are typically thought to be inherited in an autosomal dominant fashion, de novo variants in APP, PSEN1, and PSEN2 have also been identified by sequencing in sporadic cases of EOAD that occur with no family history of disease [158, 159].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [158] Lanoiselee HM, Nicolas G, Wallon D, Rovelet-Lecrux A, Lacour M, Rousseau S, … collaborators of the, C. N. R. M. A. J. project. (2017). APP, PSEN1, and PSEN2 mutations in early-onset Alzheimer disease: A genetic screening study of familial and sporadic cases. PLoS medicine, 14(3), e1002270. 28350801 PMC5370101 source
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- cites [159] Rovelet-Lecrux A, CNR-MAJ collaborators, Charbonnier C, Wallon D, Nicolas G, Seaman MNJ, … Campion D (2015). De novo deleterious genetic variations target a biological network centered on Aβ peptide in early-onset Alzheimer disease. Molecular Psychiatry. 10.1038/mp.2015.100 26194182 source
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- Premisecitation
ABCA7 is involved in endocytosis and intracellular trafficking of APP.
“ABCA7, an ATP-binding cassette transporter protein, is known to be involved in endocytosis and intracellular trafficking of APP [151].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [151] Satoh K, Abe-Dohmae S, Yokoyama S, St George-Hyslop P, & Fraser PE (2015). ATP-binding cassette transporter A7 (ABCA7) loss of function alters Alzheimer amyloid processing. The Journal of biological chemistry, 290(40), 24152– 24165. 26260791 PMC4591804 source
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- Premisecitation
Simply assigning a GWAS-identified SNP to the nearest gene in linear genomic space may lead to false associations.
“There has been a growing appreciation in recent years that simply assigning a GWAS-identified SNP to the nearest gene in linear genomic space may lead to false associations [174].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [174] Brodie A, Azaria JR, & Ofran Y (2016). How far from the SNP may the causative genes be? Nucleic acids research, 44(13), 6046– 6054. 27269582 PMC5291268 source
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- Premisecitation
Mutations in NOTCH3 were identified in a Turkish family with AD.
“Besides mutations in SORL1 described above, mutations in NOTCH3 were identified in a Turkish family with AD [163].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [163] Guerreiro RJ, Lohmann E, Kinsella E, Bras JM, Luu N, Gurunlian N, … Singleton A (2012). Exome sequencing reveals an unexpected genetic cause of disease: NOTCH3 mutation in a Turkish family with Alzheimer’s disease. Neurobiology of aging, 33(5), 1008 e17– 23. PMC3306507 22153900 source
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- Premisecitation
A significant portion of EOAD remains unexplained genetically.
“While mutations in these genes are the most well-studied mutations associated with EOAD, it is estimated that a significant portion of EOAD remains unexplained genetically [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Cacace R, Sleegers K, & Van Broeckhoven C (2016). Molecular genetics of early-onset Alzheimer’s disease revisited. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(6), 733– 748. 27016693 source
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- Interpretationreasoning
APP, PSEN1, and PSEN2 may play a larger role in the development of AD than previously thought.
“These data suggest APP, PSEN1, and PSEN2 may play a larger role in the development of AD than previously thought and highlight the need to screen both EOAD and LOAD cases by sequencing to identify pathogenic mutations in these genes.”
Quote in the paperSubstantial claim - Premisecitation
In the most recent large GWAS of AD, implicated loci contained an average of 16 genes.
“for example in the most recent large GWAS of AD, implicated loci contained an average of 16 genes [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, … Environmental Risk for Alzheimer’s Disease, Consortium. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nature genetics, 51(3), 414– 430. 30820047 PMC6463297 source
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- Premisecitation
For a number of genes including APOE, ABCA7, BIN1, TREM2, SORL1, ADAM10, and SPI1, there exists a number of functional studies and genetic evidence to suggest they are indeed the causal genes in their respective loci.
“For a number of genes including APOE, ABCA7, BIN1, TREM2, SORL1, ADAM10, and SPI1, there exists a number of functional studies and genetic evidence to suggest they are indeed the causal genes in their respective loci [97, 173], although their identification does not preclude the existence of additional pathogenic genes in these loci.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [97] Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, … Environmental Risk for Alzheimer’s Disease, Consortium. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nature genetics, 51(3), 414– 430. 30820047 PMC6463297 source
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- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334 source
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- Premisecitation
An enrichment for rare disruptive and putatively damaging variants in SORL1 were identified among EOAD cases.
“Notably, an enrichment for rare disruptive and putatively damaging variants in SORL1 were also identified among EOAD cases [155, 156].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [155] Pottier C, Hannequin D, Coutant S, Rovelet-Lecrux A, Wallon D, Rousseau S, … Phrc Gmaj Collaborators. (2012). High frequency of potentially pathogenic SORL1 mutations in autosomal dominant early-onset Alzheimer disease. Molecular psychiatry, 17(9), 875– 879. 22472873 source
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- cites [156] Nicolas G, Charbonnier C, Wallon D, Quenez O, Bellenguez C, Grenier-Boley B, … Cnr-Maj collaborators. (2016). SORL1 rare variants: a major risk factor for familial early-onset Alzheimer’s disease. Molecular psychiatry, 21(6), 831– 836. 26303663 source
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- Premisecitation
Common variants near SORL1 have been identified as associated with disease through GWAS.
“Common variants near SORL1 have also been identified as associated with disease through GWAS [96], suggesting the same loci may contribute to both EOAD and LOAD.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [96] Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, … Amouyel P (2013). Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nature genetics, 45(12), 1452– 1458. 24162737 PMC3896259 source
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- Premisecitation
A targeted secondary analysis revealed an enrichment for AD variants in regions of open chromatin as measured by ATAC-seq in microglia.
“A targeted secondary analysis revealed an enrichment for AD variants in regions of open chromatin as measured by ATAC-seq in microglia [184], suggesting a lack of signal in brain tissue is due to the heterogeneity of the bulk tissue from which it was derived.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245
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- Premisecitation
Targeted studies have revealed methylation alterations at additional loci associated with disease.
“Targeted studies have revealed methylation alterations at additional loci associated with disease [195–197]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [195] Lunnon K, & Mill J (2013). Epigenetic studies in Alzheimer’s disease: current findings, caveats, and considerations for future studies. American journal of medical genetics. Part B, Neuropsychiatric genetics: the official publication of the International Society of Psychiatric Genetics, 162B(8), 789– 799. PMC3947441 24038819 source
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- cites [196] Yu L, Chibnik LB, Srivastava GP, Pochet N, Yang J, Xu J, … Bennett DA (2015). Association of Brain DNA methylation in SORL1, ABCA7, HLA-DRB5, SLC24A4, and BIN1 with pathological diagnosis of Alzheimer disease. JAMA neurology, 72(1), 15– 24. 25365775 PMC4344367 source
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- cites [197] Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, … De Jager PL (2015). Alzheimer’s loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol, 2(6), 636– 647. 26125039 PMC4479524 source
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- Premisecitation
A major role of APOE is to facilitate the transport of cholesterol from astrocytes to neurons in the CNS.
“a major role of APOE is to facilitate the transport of cholesterol from astrocytes to neurons in the CNS [188].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [188] Mahley RW (2016). Central Nervous System Lipoproteins: ApoE and Regulation of Cholesterol Metabolism. Arteriosclerosis, thrombosis, and vascular biology, 36(7), 1305– 1315. PMC4942259 27174096 source
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- Premisecitation
AD-associated variants were enriched for colocalization with eQTLs specifically regulating gene expression in monocytes, but not in T-cells.
“AD-associated variants were enriched for colocalization with eQTLs specifically regulating gene expression in monocytes, but not in T-cells, demonstrating AD variants have a cell-type specific effect on gene expression.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [193] Raj T, Rothamel K, Mostafavi S, Ye C, Lee MN, Replogle JM, … De Jager PL (2014). Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes. Science, 344(6183), 519– 523. 24786080 PMC4910825 source
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- Premisecitation
Regions of open chromatin in human monocytes, macrophages, and microglia containing AD risk variants were shown to be enriched for binding motifs of the transcription factor SPI1.
“In support of this hypothesis, regions of open chromatin in human monocytes, macrophages, and microglia [173, 184] containing AD risk variants were shown to be enriched for binding motifs of the transcription factor SPI1, providing a mechanistic explanation by which alterations in SPI1 levels conferred by variants in the SPI1 locus may have widespread effects on cellular function.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334 source
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- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245 source
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- Interpretationcitation
AD variants have a cell-type specific effect on gene expression.
“demonstrating AD variants have a cell-type specific effect on gene expression.”
Quote in the paperSubstantial claim - Premisecitation
Using quantitative endophenotypes as the primary endpoint for GWAS instead of a binary classification of presence/absence of disease enables a more precise phenotype measurement, thus increasing the power for identification of genetic variants associated with disease.
“Using quantitative endophenotypes as the primary endpoint for GWAS instead of a binary classification of presence/absence of disease enables a more precise phenotype measurement, thus increasing the power for identification of genetic variants associated with disease [207]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [207] Hall MH, & Smoller JW (2010). A new role for endophenotypes in the GWAS era: functional characterization of risk variants. Harvard review of psychiatry, 18(1), 67– 74. 20047462 PMC3586547 source
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- Premisecitation
Similar enrichment for immune and liver cell categories was replicated by a second group utilizing an expanded set of tissue-specific annotations.
“Similar enrichment for immune and liver cell categories was replicated by a second group utilizing an expanded set of tissue-specific annotations [185].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [185] Lu Q, Powles RL, Abdallah S, Ou D, Wang Q, Hu Y, … Zhao H (2017). Systematic tissue-specific functional annotation of the human genome highlights immune-related DNA elements for late-onset Alzheimer’s disease. PLoS genetics, 13(7), e1006933. 28742084 PMC5546707 source
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- Interpretationcitation
The genetic architecture of AD primarily impacts regulatory elements active in cells of the immune system.
“Together, these studies suggest the genetic architecture of AD primarily impacts regulatory elements active in cells of the immune system.”
Quote in the paperSubstantial claim - Premisecitation
Immune cell types, specifically hematopoietic stem cells and primary blood monocytes, were identified as primary cell types containing areas of accessible chromatin in which AD-associated variants were preferentially located.
“Remarkably, immune cell types, specifically hematopoietic stem cells and primary blood monocytes, were again identified as primary cell types containing areas of accessible chromatin in which AD-associated variants were preferentially located [184].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245
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- Premisecitation
Alleles associated with AD show an effect on gene expression specifically in monocytes.
“This idea is supported by studies showing that alleles associated with AD show an effect on gene expression specifically in monocytes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [193] Raj T, Rothamel K, Mostafavi S, Ye C, Lee MN, Replogle JM, … De Jager PL (2014). Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes. Science, 344(6183), 519– 523. 24786080 PMC4910825 source
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- Premisecitation
Several studies have performed targeted analysis of the impact of identified AD SNPs on brain-specific gene expression.
“Several studies have performed targeted analysis of the impact of identified AD SNPs on brain-specific gene expression [200–202].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [200] Karch CM, Ezerskiy LA, Bertelsen S, Alzheimer’s Disease Genetics, Consortium, & Goate AM (2016). Alzheimer’s Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci. PloS one, 11(2), e0148717. 26919393 PMC4769299 source
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- cites [201] Katsumata Y, Nelson PT, Estus S, Fardo DW, Weiner MW, Aisen P, … Initia ADN (2019). Translating Alzheimer’s disease-associated polymorphisms into functional candidates: a survey of IGAP genes and SNPs. Neurobiology of aging, 74, 135– 146. 30448613 PMC6331247 source
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- cites [202] Allen M, Kachadoorian M, Carrasquillo MM, Karhade A, Manly L, Burgess JD, … Ertekin-Taner N (2015). Late-onset Alzheimer disease risk variants mark brain regulatory loci. Neurol Genet, 1(2), e15. 27066552 PMC4807909 source
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- Premisecitation
Two independent genome-wide studies recently identified a differentially methylated region in the ANK1 gene as associated with the burden of AD pathology.
“and two independent genome-wide studies recently identified a differentially methylated region in the ANK1 gene as associated with the burden of AD pathology [198, 199].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [198] Lunnon K, Smith R, Hannon E, De Jager PL, Srivastava G, Volta M, … Mill J (2014). Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer’s disease. Nature neuroscience, 17(9), 1164– 1170. 25129077 PMC4410018 source
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- cites [199] De Jager PL, Srivastava G, Lunnon K, Burgess J, Schalkwyk LC, Yu L, … Bennett DA (2014). Alzheimer’s disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci. Nature neuroscience, 17(9), 1156– 1163. 25129075 PMC4292795 source
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- Premisecitation
No enrichment was observed for AD variants in brain-specific DNase sites.
“No enrichment was observed for AD variants in brain-specific DNase sites, although the only two datasets included were generated from fetal tissue, which is likely not reflective of the regulatory chromatin landscape observed in adult or diseased brains.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245
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- Premisecitation
There is a recent identification of the enrichment of AD-associated variants in enhancers active in primary human microglia.
“This is supported by a recent identification of the enrichment of AD-associated variants in enhancers active in primary human microglia [192].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [192] Nott A, Holtman IR, Coufal NG, Schlachetzki JCM, Yu M, Hu R, … Glass CK (2019). Brain cell type-specific enhancer-promoter interactome maps and disease-risk association. Science, 366(6469), 1134– 1139. 31727856 PMC7028213 source
Not checked in the free run.
- Interpretationreasoning
Insights into the localization of genetic risk for AD identifies clinically relevant tissue- and cell-type enrichments.
“Together, these findings suggest insights into the localization of genetic risk for AD identifies clinically relevant tissue- and cell-type enrichments.”
Quote in the paperSubstantial claim - Premisecitation
Huang et al. found a significant enrichment of AD SNPs in functional annotations attributed to hematopoietic cells, specifically monocytes and B-cells.
“Using a similar technique and annotation dataset, Huang et al. found a significant enrichment of AD SNPs in functional annotations attributed to hematopoietic cells, specifically monocytes and B-cells [173].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334 source
Not checked in the free run.
- Interpretationreasoning
The lack of signal in brain tissue is due to the heterogeneity of the bulk tissue from which it was derived.
“suggesting a lack of signal in brain tissue is due to the heterogeneity of the bulk tissue from which it was derived.”
Quote in the paperSubstantial claim - Premisecitation
Several genes expressed in the liver including liver X receptors (LXRs) have been suggested as potential therapeutic targets for AD.
“Interestingly, several genes expressed in the liver including liver X receptors (LXRs) have been suggested as potential therapeutic targets for AD [189–191].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [189] Sodhi RK, & Singh N (2013). Liver X receptors: emerging therapeutic targets for Alzheimer’s disease. Pharmacological research: the official journal of the Italian Pharmacological Society, 72, 45– 51. 23542729 source
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- cites [190] Zelcer N, Khanlou N, Clare R, Jiang Q, Reed-Geaghan EG, Landreth GE, … Tontonoz P (2007). Attenuation of neuroinflammation and Alzheimer’s disease pathology by liver x receptors. Proceedings of the National Academy of Sciences of the United States of America, 104(25), 10601– 10606. 17563384 PMC1890560 source
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- cites [191] Koldamova RP, Lefterov IM, Staufenbiel M, Wolfe D, Huang S, Glorioso JC, … Lazo JS (2005). The liver X receptor ligand T0901317 decreases amyloid beta production in vitro and in a mouse model of Alzheimer’s disease. The Journal of biological chemistry, 280(6), 4079– 4088. 15557325 source
Not checked in the free run.
- Interpretationcitation
Based on data from peripheral cells and select microglia-specific datasets, it is likely the regulation of gene expression in microglia will emerge as critical to disease pathogenesis.
“Based on data from peripheral cells and select microglia-specific datasets [184, 192], it is likely the regulation of gene expression in microglia will emerge as critical to disease pathogenesis.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245 source
Not checked in the free run.
- cites [192] Nott A, Holtman IR, Coufal NG, Schlachetzki JCM, Yu M, Hu R, … Glass CK (2019). Brain cell type-specific enhancer-promoter interactome maps and disease-risk association. Science, 366(6469), 1134– 1139. 31727856 PMC7028213 source
Not checked in the free run.
- Interpretationreasoning
Combined with cell- and tissue-specific gene expression sets, these annotations can provide a comprehensive picture of how and where variants and associated regulatory elements may be impacting gene expression, and presumably, disease risk.
“Combined with cell- and tissue-specific gene expression sets, these annotations can provide a comprehensive picture of how and where variants and associated regulatory elements may be impacting gene expression, and presumably, disease risk.”
Quote in the paperSubstantial claim - Premisecitation
Huang et al. identified SPI1 as the most likely candidate causal gene in the genomic region traditionally annotated as the CELF1 locus.
“Huang et al. [173] leveraged this information to identify SPI1 as the most likely candidate causal gene in the genomic region traditionally annotated as the CELF1 locus due to the proximity of the lead GWAS SNP to the gene CELF1.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334 source
Not checked in the free run.
- Premisecitation
Several genes previously implicated in AD, including APOE and PICALM, have been associated with imaging endophenotypes.
“while several genes previously implicated in AD (including APOE and PICALM [229]) have been associated with imaging endophenotypes”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [229] Furney SJ, Simmons A, Breen G, Pedroso I, Lunnon K, Proitsi P, … AddNeuroMed, Consortium. (2011). Genome-wide association with MRI atrophy measures as a quantitative trait locus for Alzheimer’s disease. Molecular psychiatry, 16(11), 1130– 1138. 21116278 PMC5980656 source
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- Premisecitation
Integrating multiple imaging traits provides further improved diagnostic classification.
“Groups are actively working to integrate multiple imaging traits together, providing an even further improved diagnostic classification [232, 233]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [232] Xu Z, Wu C, Pan W, & Alzheimer’s Disease Neuroimaging, Initiative. (2017). Imaging-wide association study: Integrating imaging endophenotypes in GWAS. NeuroImage, 159, 159– 169. 28736311 PMC5671364 source
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- cites [233] Scelsi MA, Khan RR, Lorenzi M, Christopher L, Greicius MD, Schott JM, … Altmann A (2018). Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci. Brain: a journal of neurology, 141(7), 2167– 2180. 29860282 PMC6022660 source
Not checked in the free run.
- Premisecitation
Amyloid burden across the brain can be localized and quantified through the combined use of a radiolabeled ligand such as Pittsburgh B and positron emission tomography (PET) imaging.
“amyloid burden across the brain can be localized and quantified through the combined use of a radiolabeled ligand such as Pittsburgh B and positron emission tomography (PET) imaging [219].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [219] Suppiah S, Didier MA, & Vinjamuri S (2019). The Who, When, Why, and How of PET Amyloid Imaging in Management of Alzheimer’s Disease-Review of Literature and Interesting Images. Diagnostics (Basel), 9(2). 10.3390/diagnostics9020065 PMC6627350 31242587 source
Not checked in the free run.
- Interpretationreasoning
Improved phenotype definition afforded by quantitative measurements is capable of identifying small-effect loci that may be missed by a case/control GWAS.
“suggesting improved phenotype definition afforded by quantitative measurements is capable of identifying small-effect loci that may be missed by a case/control GWAS.”
Quote in the paperSubstantial claim - Premisecitation
Several novel loci not previously associated with AD risk have been identified through CSF Aβ1-42 and/or tau GWAS, including variants located near the genes GLIS3, GLIS1, GEMC1, and within SERPINB1.
“While the majority of loci overlap with GWAS loci, several novel loci not previously associated with AD risk have also been identified through these analyses, including variants located near the genes GLIS3, GLIS1, GEMC1, and within SERPINB1 [23, 211].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23] Cruchaga C, Kauwe JS, Harari O, Jin SC, Cai Y, Karch CM, … Goate AM (2013). GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer’s disease. Neuron, 78(2), 256– 268. 23562540 PMC3664945 source
Not checked in the free run.
- cites [211] Deming Y, Li Z, Kapoor M, Harari O, Del-Aguila JL, Black K, … Cruchaga C (2017). Genome-wide association study identifies four novel loci associated with Alzheimer’s endophenotypes and disease modifiers. Acta neuropathologica, 133(5), 839– 856. 28247064 PMC5613285 source
Not checked in the free run.
- Premisecitation
FDG-PET measurement can differentiate AD patients from other clinical diagnoses.
“this measurement can be used to differentiate AD patients from other clinical diagnoses [221]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [221] Dukart J, Mueller K, Horstmann A, Vogt B, Frisch S, Barthel H, … Schroeter ML (2010). Differential effects of global and cerebellar normalization on detection and differentiation of dementia in FDG-PET studies. NeuroImage, 49(2), 1490– 1495. 19770055 source
Not checked in the free run.
- Interpretationreasoning
The loci identified by imaging studies may contain novel genes contributing to the etiology of AD that may have been missed by traditional approaches.
“the loci identified by imaging studies may contain novel genes contributing to the etiology of AD that may have been missed by traditional approaches.”
Quote in the paperSubstantial claim - Interpretationreasoning
These AD risk variants may act, in part, by regulating neurodegeneration.
“suggesting these AD risk variants may act, in part, by regulating neurodegeneration.”
Quote in the paperSubstantial claim - Premisecitation
Structure-based endophenotypes are heritable.
“are heritable [223, 224]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [223] Kremen WS, Panizzon MS, Neale MC, Fennema-Notestine C, Prom-Wormley E, Eyler LT, … Dale AM (2012). Heritability of brain ventricle volume: converging evidence from inconsistent results. Neurobiology of aging, 33(1), 1– 8. 20363053 PMC3221930 source
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- cites [224] Lunetta KL, Erlich PM, Cuenco KT, Cupples LA, Green RC, Farrer LA, … Mirage Study Group. (2007). Heritability of magnetic resonance imaging (MRI) traits in Alzheimer disease cases and their siblings in the MIRAGE study. Alzheimer disease and associated disorders, 21(2), 85– 91. 17545732 source
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- Premisecitation
Genetic variants that increase risk for AD also influence CSF Aβ1-42 levels, including pathogenic mutations in APP, PSEN1, and PSEN2, as well as APOE.
“In targeted analyses, it has been shown that genetic variants that increase risk for AD also influence CSF Aβ1–42 levels, including pathogenic mutations in APP, PSEN1, and PSEN2, as well as APOE [208–210].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [208] Ringman JM, Younkin SG, Pratico D, Seltzer W, Cole GM, Geschwind DH, … Cummings JL (2008). Biochemical markers in persons with preclinical familial Alzheimer disease. Neurology, 71(2), 85– 92. 18509095 PMC12435649 source
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- cites [209] Kauwe JS, Wang J, Mayo K, Morris JC, Fagan AM, Holtzman DM, & Goate AM (2009). Alzheimer’s disease risk variants show association with cerebrospinal fluid amyloid beta. Neurogenetics, 10(1), 13– 17. 18813964 PMC2726757 source
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- cites [210] Kauwe JS, Jacquart S, Chakraverty S, Wang J, Mayo K, Fagan AM, … Goate AM (2007). Extreme cerebrospinal fluid amyloid beta levels identify family with late-onset Alzheimer’s disease presenilin 1 mutation. Annals of neurology, 61(5), 446– 453. 17366635 source
Not checked in the free run.
- Interpretationreasoning
sTREM2 may be a relevant secondary biomarker of disease progression.
“suggesting it may be a relevant secondary biomarker of disease progression.”
Quote in the paperNot a substantial claim - Premisecitation
Levels of soluble TREM2 (sTREM2) have been shown to increase five years before symptom onset in autosomal dominant forms of AD.
“For example, the levels of soluble TREM2 (sTREM2) have been shown to increase five years before symptom onset in autosomal dominant forms of AD [212].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [212] Suarez-Calvet M, Araque Caballero MA, Kleinberger G, Bateman RJ, Fagan AM, Morris JC, … Dominantly Inherited Alzheimer, Network. (2016). Early changes in CSF sTREM2 in dominantly inherited Alzheimer’s disease occur after amyloid deposition and neuronal injury. Science translational medicine, 8(369), 369ra178. PMC5385711 27974666 source
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- Premisecitation
A large number of novel loci and genes have been nominated by imaging GWAS analyses.
“a large number of novel loci and genes have been nominated by these analyses [222, 229–231]”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [222] Risacher SL, Saykin AJ, West JD, Shen L, Firpi HA, McDonald BC, & Alzheimer’s Disease Neuroimaging, Initiative. (2009). Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort. Current Alzheimer research, 6(4), 347– 361. 19689234 PMC2764863 source
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- cites [229] Furney SJ, Simmons A, Breen G, Pedroso I, Lunnon K, Proitsi P, … AddNeuroMed, Consortium. (2011). Genome-wide association with MRI atrophy measures as a quantitative trait locus for Alzheimer’s disease. Molecular psychiatry, 16(11), 1130– 1138. 21116278 PMC5980656 source
Not checked in the free run.
- cites [230] Potkin SG, Guffanti G, Lakatos A, Turner JA, Kruggel F, Fallon JH, … Alzheimer’s Disease Neuroimaging, Initiative. (2009). Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer’s disease. PloS one, 4(8), e6501. 19668339 PMC2719581 source
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- cites [231] Stein JL, Hua X, Morra JH, Lee S, Hibar DP, Ho AJ, … Alzheimer’s Disease Neuroimaging, Initiative. (2010). Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer’s disease. NeuroImage, 51(2), 542– 554. 20197096 PMC2856746 source
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- Premisecitation
AD patients exhibit decreased uptake of FDG on PET.
“AD patients exhibit decreased uptake of FDG on PET [220]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [220] Ou YN, Xu W, Li JQ, Guo Y, Cui M, Chen KL, … Alzheimer’s Disease Neuroimaging, Initiative. (2019). FDG-PET as an independent biomarker for Alzheimer’s biological diagnosis: a longitudinal study. Alzheimer’s research & therapy, 11(1), 57. PMC6599313 31253185 source
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- Premisecitation
SNPs in and around APOE, BIN1, SORL1, and CR1 have been associated with traits including medial temporal lobe atrophy and cortical thickness.
“SNPs in and around candidate genes including APOE, BIN1, SORL1, and CR1 have been associated with traits including medial temporal lobe atrophy and cortical thickness [225–228]”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [225] Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Cedarbaum J, … Alzheimer’s Disease Neuroimaging, Initiative. (2015). 2014 Update of the Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 11(6), e1– 120. PMC5469297 26073027 source
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- cites [226] Saykin AJ, Shen L, Foroud TM, Potkin SG, Swaminathan S, Kim S, … Alzheimer’s Disease Neuroimaging, Initiative. (2010). Alzheimer’s Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 6(3), 265– 273. PMC2868595 20451875 source
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- cites [227] Biffi A, Anderson CD, Desikan RS, Sabuncu M, Cortellini L, Schmansky N, … Alzheimer’s Disease Neuroimaging, Initiative. (2010). Genetic variation and neuroimaging measures in Alzheimer disease. Archives of neurology, 67(6), 677– 685. 20558387 PMC2956757 source
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- cites [228] Cuenco K T, Lunetta KL, Baldwin CT, McKee AC, Guo J, Cupples LA, … Mirage Study Group. (2008). Association of distinct variants in SORL1 with cerebrovascular and neurodegenerative changes related to Alzheimer disease. Archives of neurology, 65(12), 1640– 1648. 19064752 PMC2719762 source
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- Interpretationcitation
Regulation of the sTREM2 endophenotype is orchestrated by genetic variants that also modify risk for disease.
“demonstrating regulation of this endophenotype is orchestrated by genetic variants that also modify risk for disease.”
Quote in the paperSubstantial claim - Premisecitation
Structure-based endophenotypes reliably predict cognitive decline.
“they reliably predict cognitive decline [222]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [222] Risacher SL, Saykin AJ, West JD, Shen L, Firpi HA, McDonald BC, & Alzheimer’s Disease Neuroimaging, Initiative. (2009). Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort. Current Alzheimer research, 6(4), 347– 361. 19689234 PMC2764863 source
Not checked in the free run.
- Premisecitation
Common variants in the MS4A gene cluster were shown to significantly regulate sTREM2 levels in CSF.
“Common variants in the MS4A gene cluster were shown to significantly regulate sTREM2 levels in CSF [134], demonstrating regulation of this endophenotype is orchestrated by genetic variants that also modify risk for disease.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [134] Deming Y, Filipello F, Cignarella F, Cantoni C, Hsu S, Mikesell R, … Cruchaga C (2019). The MS4A gene cluster is a key modulator of soluble TREM2 and Alzheimer’s disease risk. Science translational medicine, 11(505). 10.1126/scitranslmed.aau2291 PMC6697053 31413141 source
Not checked in the free run.
- Interpretationreasoning
FDG-PET provides an additional reliable endophenotype of AD.
“suggesting FDG-PET provides an additional reliable endophenotype of AD.”
Quote in the paperSubstantial claim - Interpretationreasoning
The identification of distinct loci for Aβ1-42 versus tau traits suggest these endophenotypes are regulated, in part, by distinct genetic mechanisms.
“The identification of distinct loci for Aβ1–42 versus tau traits suggest these endophenotypes are regulated, in part, by distinct genetic mechanisms.”
Quote in the paperSubstantial claim - Premisecitation
In Deming et al., together the additive risk conferred by all variants was significantly associated with both Aβ1-42 and tau.
“together the additive risk conferred by all variants was significantly associated with both Aβ1–42 and tau.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [211] Deming Y, Li Z, Kapoor M, Harari O, Del-Aguila JL, Black K, … Cruchaga C (2017). Genome-wide association study identifies four novel loci associated with Alzheimer’s endophenotypes and disease modifiers. Acta neuropathologica, 133(5), 839– 856. 28247064 PMC5613285 source
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- Premisecitation
Under normal conditions, surveillance mechanisms including those associated with DNA repair and chromatin remodeling function to repress TE activity and largely maintain genomic stability.
“Under normal conditions, surveillance mechanisms including those associated with DNA repair and chromatin remodeling function to repress TE activity and largely maintain genomic stability [243]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [243] Levin HL, & Moran JV (2011). Dynamic interactions between transposable elements and their hosts. Nature reviews. Genetics, 12(9), 615– 627. PMC3192332 21850042 source
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- Premisecitation
In Deming et al., individual GWAS SNPs were not significantly associated with CSF levels of Aβ1-42 or tau.
“Although in their analysis the individual GWAS SNPs were not significantly associated with CSF levels of Aβ1–42 or tau”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [211] Deming Y, Li Z, Kapoor M, Harari O, Del-Aguila JL, Black K, … Cruchaga C (2017). Genome-wide association study identifies four novel loci associated with Alzheimer’s endophenotypes and disease modifiers. Acta neuropathologica, 133(5), 839– 856. 28247064 PMC5613285 source
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- Premisecitation
A sporadic AD patient harbored a disease-causative mutation in PSEN1 only in approximately 14% of brain cells.
“the finding of a sporadic AD patient who harbored a disease-causative mutation in PSEN1 only in approximately 14% of brain cells [236]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [236] Beck JA, Poulter M, Campbell TA, Uphill JB, Adamson G, Geddes JF, … Tabrizi SJ (2004). Somatic and germline mosaicism in sporadic early-onset Alzheimer’s disease. Human molecular genetics, 13(12), 1219– 1224. 15115757 source
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- Premisecitation
Rare autosomal CNVs in genes besides APP have been implicated in EOAD.
“Rare autosomal CNVs in genes besides APP have been implicated in EOAD [252]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [252] Hooli BV, Kovacs-Vajna ZM, Mullin K, Blumenthal MA, Mattheisen M, Zhang C, … Tanzi RE (2014). Rare autosomal copy number variations in early-onset familial Alzheimer’s disease. Molecular psychiatry, 19(6), 676– 681. 23752245 source
Not checked in the free run.
- Interpretationreasoning
Consideration of genetic variation beyond SNPs can improve our understanding of the genetic architecture of AD.
“demonstrating consideration of genetic variation beyond SNPs can improve our understanding of the genetic architecture of AD.”
Quote in the paperSubstantial claim - Interpretationcitation
DNA replication stress and insufficient repair mechanisms may contribute to the development of somatic mutations in neurons.
“DNA replication stress and insufficient repair mechanisms may contribute to the development of somatic mutations in neurons [246]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [246] Yurov YB, Vorsanova SG, & Iourov IY (2011). The DNA replication stress hypothesis of Alzheimer’s disease. TheScientificWorldJournal, 11, 2602– 2612. PMC3254013 22262948 source
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- Interpretationcitation
Sex-specific effects of APOE genotype emerge downstream of amyloidosis.
“suggesting sex-specific effects of APOE genotype emerge downstream of amyloidosis [258]”
Quote in the paperSubstantial claim - Premisecitation
A functional CNV in the gene CR1 modifying isoform production was shown to increase risk for LOAD in two populations.
“a functional CNV in the gene CR1 modifying isoform production was shown to increase risk for LOAD in two populations [253]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [253] Brouwers N, Van Cauwenberghe C, Engelborghs S, Lambert JC, Bettens K, Le Bastard N, … an Broeckhoven C (2012). Alzheimer risk associated with a copy number variation in the complement receptor 1 increasing C3b/C4b binding sites. Molecular psychiatry, 17(2), 223– 233. 21403675 PMC3265835 source
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- Premisecitation
Neurons from AD patients have an enriched number of somatic variations not observed in peripheral DNA.
“neurons from AD patients have been observed to have an enriched number of somatic variations not observed in peripheral DNA [239, 240]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [239] Sala Frigerio C, Lau P, Troakes C, Deramecourt V, Gele P, Van Loo P, … De Strooper B (2015). On the identification of low allele frequency mosaic mutations in the brains of Alzheimer’s disease patients. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 11(11), 1265– 1276. 25937274 source
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- cites [240] Parcerisas A, Rubio SE, Muhaisen A, Gomez-Ramos A, Pujadas L, Puiggros M, … Soriano E (2014). Somatic signature of brain-specific single nucleotide variations in sporadic Alzheimer’s disease. Journal of Alzheimer’s disease: JAD, 42(4), 1357– 1382. 25024348 source
Not checked in the free run.
- Interpretationreasoning
The contribution of small-effect GWAS loci to AD risk is, in part, mediated by the effect of these variants on specific neuropathologies, including Aβ1-42 and tau levels as well as neurodegeneration.
“suggesting the contribution of small-effect GWAS loci to AD risk is, in part, mediated by the effect of these variants on specific neuropathologies, including Aβ1–42 and tau levels as well as neurodegeneration.”
Quote in the paperSubstantial claim - Interpretationreasoning
Endophenotype-focused GWAS analyses provide important insight into the mechanisms by which variants modifying disease risk may act.
“and provide important insight into the mechanisms by which variants modifying disease risk may act.”
Quote in the paperSubstantial claim - Premisecitation
Neuropathological examination of patient brains harboring APP duplications shows abundant plaque and tangle pathology as well as cerebral amyloid angiopathy (CAA).
“Neuropathological examination of patient brains harboring APP duplications show abundant plaque and tangle pathology as well cerebral amyloid angiopathy (CAA)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [248] Planton M, Raposo N, Albucher JF, & Pariente J (2017). Cerebral amyloid angiopathy-related cognitive impairment: The search for a specific neuropsychological pattern. Revue neurologique, 173(9), 562– 565. 28993004 source
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- cites [249] Ellis RJ, Olichney JM, Thal LJ, Mirra SS, Morris JC, Beekly D, & Heyman A (1996). Cerebral amyloid angiopathy in the brains of patients with Alzheimer’s disease: the CERAD experience, Part XV. Neurology, 46(6), 1592– 1596. 8649554 source
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- Interpretationcitation
Mutations expressed throughout the body have a profound effect on disease severity.
“indicating the degree to which mutations that are expressed throughout the body have a profound effect on disease severity [236]”
Quote in the paperSubstantial claim - Interpretationreasoning
The genetic architecture of AD may not be completely accurately represented by studies utilizing peripheral blood DNA.
“Together, this work suggests the genetic architecture of AD may not be completely accurately represented by studies utilizing peripheral blood DNA”
Quote in the paperSubstantial claim - Premisecitation
Additional somatic mutations in genes known to confer risk for AD such as APP and SORL1 have been identified in the brains of both EOAD and LOAD patients.
“Additional somatic mutations in genes known to confer risk for AD such as APP and SORL1 [237] have been identified in the brains of both EOAD and LOAD patients [238, 239]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [237] Nicolas G, Acuna-Hidalgo R, Keogh MJ, Quenez O, Steehouwer M, Lelieveld S, … Hoischen A (2018). Somatic variants in autosomal dominant genes are a rare cause of sporadic Alzheimer’s disease. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 14(12), 1632– 1639. PMC6544509 30114415 source
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- cites [238] Bushman DM, Kaeser GE, Siddoway B, Westra JW, Rivera RR, Rehen SK, … Chun J (2015). Genomic mosaicism with increased amyloid precursor protein (APP) gene copy number in single neurons from sporadic Alzheimer’s disease brains. eLife, 4 10.7554/eLife.05116 PMC4337608 25650802 source
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- cites [239] Sala Frigerio C, Lau P, Troakes C, Deramecourt V, Gele P, Van Loo P, … De Strooper B (2015). On the identification of low allele frequency mosaic mutations in the brains of Alzheimer’s disease patients. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 11(11), 1265– 1276. 25937274 source
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- Premisecitation
Neuropathologies such as tau have been observed to promote activation of TEs.
“Neuropathologies such as tau have been observed to promote activation of TEs”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [245] Li W, Prazak L, Chatterjee N, Gruninger S, Krug L, Theodorou D, & Dubnau J (2013). Activation of transposable elements during aging and neuronal decline in Drosophila. Nature neuroscience, 16(5), 529– 531. 23563579 PMC3821974 source
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- Interpretationreasoning
Endophenotype-focused GWAS analyses highlight overlap in genetic architecture across various aspects of AD.
“Together, these endophenotype-focused GWAS analyses highlight the overlap in genetic architecture across various aspects of AD”
Quote in the paperSubstantial claim - Premisecitation
Increased genetic risk for LOAD as defined by a high PRS is associated with several imaging endophenotypes, including decreased cortical thickness in brain regions vulnerable to degeneration in AD, decreased total brain volume, and decreased hippocampal volume.
“increased genetic risk for LOAD as defined by a high PRS is associated with several imaging endophenotypes, including decreased cortical thickness in brain regions known to be vulnerable to degeneration in AD, decreased total brain volume, and decreased hippocampal volume [234]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [234] Harrison TM, & Bookheimer SY (2016). Neuroimaging genetic risk for Alzheimer’s disease in preclinical individuals: From candidate genes to polygenic approaches. Biological psychiatry. Cognitive neuroscience and neuroimaging, 1(1), 14– 23. 26858991 PMC4743051 source
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- Premisereasoning
Across studies, the association of GWAS-derived PRS with endophenotypes remained significant even after removal of APOE.
“Across studies, the association of GWAS-derived PRS with endophenotypes remained significant even after removal of APOE”
Quote in the paperSubstantial claim - Premisecitation
Notable sex differences in the clinical and pathological presentation between the sexes exist.
“Notable sex differences in the clinical and pathological presentation between the sexes exist, each of which have been extensively reviewed previously [258–261]”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [258] Dumitrescu L, Mayeda ER, Sharman K, Moore AM, & Hohman TJ (2019). Sex Differences in the Genetic Architecture of Alzheimer’s Disease. Current genetic medicine reports, 7(1), 13– 21. 31360619 PMC6662731 source
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- cites [259] Mielke MM, Vemuri P, & Rocca WA (2014). Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences. Clinical epidemiology, 6, 37– 48. 24470773 PMC3891487 source
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- cites [260] Laws KR, Irvine K, & Gale TM (2018). Sex differences in Alzheimer’s disease. Current opinion in psychiatry, 31(2), 133– 139. 29324460 source
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- cites [261] Laws KR, Irvine K, & Gale TM (2016). Sex differences in cognitive impairment in Alzheimer’s disease. World J Psychiatry, 6(1), 54– 65. 27014598 PMC4804268 source
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- Premisecitation
APOE genotype has an exacerbated effect on disease risk in females.
“Several studies have demonstrated APOE genotype has an exacerbated effect on disease risk in females [58]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, … van Duijn CM (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA: the journal of the American Medical Association, 278(16), 1349– 1356. 9343467 source
Not checked in the free run.
- Interpretationreasoning
These non-additive approaches may be useful in identifying recessive mutations that modify an individual's risk for AD.
“suggesting these approaches may be useful in identifying recessive mutations that modify an individual’s risk for AD.”
Quote in the paperSubstantial claim - Premisecitation
Since the discovery that genetic variants are enriched within regulatory regions active in myeloid cells, a large emphasis has been placed on improving resources to better model the impact of these variants in a disease-relevant context.
“Since the discovery that genetic variants are enriched within regulatory regions active in myeloid cells [173, 183, 184], a large emphasis in the field has been placed on improving resources to better model the impact of these variants in a disease-relevant context.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334 source
Not checked in the free run.
- cites [183] Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M, & Weale ME (2016). Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. Ann Clin Transl Neurol, 3(12), 924– 933. 28097204 PMC5224821 source
Not checked in the free run.
- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245 source
Not checked in the free run.
- Premisecitation
Analyses aimed at genes which influence disease in a non-additive fashion have identified novel candidate genes for obesity and type 2 diabetes.
“Analyses aimed at genes which influence disease in a non-additive fashion have identified novel candidate genes for obesity and type 2 diabetes [267]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [267] Wood AR, Tyrrell J, Beaumont R, Jones SE, Tuke MA, Ruth KS, … Weedon MN (2016). Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively. Diabetologia, 59(6), 1214– 1221. 26961502 PMC4869698 source
Not checked in the free run.
- Interpretationreasoning
Patients diagnosed with clinical AD and included in many GWAS as cases may in fact not be pure AD cases but rather be suffering from a type of dementia due to mixed causes.
“this suggests patients diagnosed with clinical AD and included in many GWAS as “cases” may in fact not be pure AD cases but rather be suffering from a type of dementia due to mixed causes.”
Quote in the paperSubstantial claim - Premisecitation
An individual's genetic background has been reported to influence how they respond to environmental exposures or lifestyle factors.
“an individual’s genetic background has been reported to influence how they respond to environmental exposures or lifestyle factors [269]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [269] Eid A, Mhatre I, & Richardson JR (2019). Gene-environment interactions in Alzheimer’s disease: A potential path to precision medicine. Pharmacology & therapeutics, 199, 173– 187. 30877021 PMC6827882 source
Not checked in the free run.
- Interpretationcitation
Gene-gene interactions do indeed contribute to the heritability of AD.
“suggesting gene-gene interactions do indeed contribute to the heritability of AD.”
Quote in the paperSubstantial claim - Premisecitation
A PRS derived from human LOAD GWAS showed significant association with cognitive outcomes across genetically diverse AD mice at 14 months of age.
“a PRS derived from human LOAD GWAS [96] showed significant association with cognitive outcomes across genetically diverse AD mice at 14 months of age [288]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [96] Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, … Amouyel P (2013). Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nature genetics, 45(12), 1452– 1458. 24162737 PMC3896259 source
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- cites [288] Neuner SM, Heuer SE, Huentelman MJ, O’Connell KMS, & Kaczorowski CC (2019). Harnessing Genetic Complexity to Enhance Translatability of Alzheimer’s Disease Mouse Models: A Path toward Precision Medicine. Neuron, 101(3), 399– 411 e5. 30595332 PMC6886697 source
Not checked in the free run.
- Interpretationreasoning
Additional factors such as background genetic modifiers or non-genetic lifestyle factors play a substantial role in dictating disease risk and severity.
“suggesting additional factors such as background genetic modifiers or even non-genetic lifestyle factors play a substantial role in dictating disease risk and severity.”
Quote in the paperSubstantial claim - Interpretationreasoning
Extensive gene-gene interactions may contribute significantly to the genetic architecture of AD such that the effect of any AD-associated variant may largely depend on surrounding genetic context.
“This highlights the possibility that extensive gene-gene interactions may contribute significantly to the genetic architecture of AD such that the effect of any AD-associated variant may largely depend on surrounding genetic context [268]”
Quote in the paperSubstantial claim - Premisecitation
Traditional models created by incorporating a highly penetrant mutation in APP, PSEN1, or PSEN2 onto a single inbred background strain have largely failed to yield successful results in human clinical trials.
“traditional models created by incorporating a highly penetrant mutation in APP, PSEN1, or PSEN2 onto a single inbred background strain have largely failed to yield successful results in human clinical trials [286, 287]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [286] Onos KD, Sukoff Rizzo SJ, Howell GR, & Sasner M (2016). Toward more predictive genetic mouse models of Alzheimer’s disease. Brain research bulletin, 122, 1– 11. 26708939 PMC4843786 source
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- cites [287] Hargis KE, & Blalock EM (2017). Transcriptional signatures of brain aging and Alzheimer’s disease: What are our rodent models telling us? Behavioural brain research, 322(Pt B), 311– 328. 27155503 PMC5533609 source
Not checked in the free run.
- Interpretationreasoning
Current evidence points to important differences in the AD genetic architecture across sexes.
“current evidence points to important differences in the AD genetic architecture across sexes.”
Quote in the paperSubstantial claim - Premisecitation
Several modifiable risk factors have been associated with AD risk across populations, including educational attainment, obesity, cholesterol levels, social isolation, alcohol consumption, and exposure to pesticides.
“Several modifiable risk factors have been associated with AD risk across populations, including educational attainment, obesity, cholesterol levels, social isolation, alcohol consumption, and exposure to pesticides [269, 270]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [269] Eid A, Mhatre I, & Richardson JR (2019). Gene-environment interactions in Alzheimer’s disease: A potential path to precision medicine. Pharmacology & therapeutics, 199, 173– 187. 30877021 PMC6827882 source
Not checked in the free run.
- cites [270] Livingston G, Sommerlad A, Orgeta V, Costafreda SG, Huntley J, Ames D, … Mukadam N (2017). Dementia prevention, intervention, and care. The Lancet, 390(10113), 2673– 2734. 28735855 source
Not checked in the free run.
- Interpretationcitation
These genetically diverse models may represent improved preclinical resources than traditional approaches.
“suggesting these genetically diverse models may represent improved preclinical resources than traditional approaches.”
Quote in the paperSubstantial claim - Interpretationcitation
Similar genetic mechanisms underlie AD susceptibility across species.
“suggesting similar genetic mechanisms underlie AD susceptibility across species.”
Quote in the paperSubstantial claim - Interpretationreasoning
Variants in an individual's genetic background modify the effect of specific variants on phenotypic penetrance.
“suggest variants in an individual’s genetic background modify the effect of specific variants on phenotypic penetrance.”
Quote in the paperSubstantial claim - Premisecitation
Across the population, patients clinically diagnosed with AD display a wide variation in the onset, duration, and severity of symptoms across multiple functional domains.
“Across the population, patients clinically diagnosed with AD display a wide variation in the onset, duration, and severity of symptoms across multiple functional domains”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [275] DeTure MA, & Dickson DW (2019). The neuropathological diagnosis of Alzheimer’s disease. Molecular neurodegeneration, 14(1), 32. 31375134 PMC6679484 source
Not checked in the free run.
- Premisecitation
This heterogeneity is observed even in carriers of highly penetrant APP and PSEN mutations.
“This heterogeneity is observed even in carriers of highly penetrant APP and PSEN mutations [276]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [276] Ryman DC, Acosta-Baena N, Aisen PS, Bird T, Danek A, Fox NC, … Dominantly Inherited Alzheimer Network. (2014). Symptom onset in autosomal dominant Alzheimer disease: a systematic review and meta-analysis. Neurology, 83(3), 253– 260. 24928124 PMC4117367 source
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- Premisecitation
It has been estimated that up to 90% of EOAD may be caused by recessive mutations.
“it has been estimated that up to 90% of EOAD may be caused by recessive mutations [24]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Wingo TS, Lah JJ, Levey AI, & Cutler DJ (2012). Autosomal recessive causes likely in early-onset Alzheimer disease. Archives of neurology, 69(1), 59– 64. 21911656 PMC3332307 source
Not checked in the free run.
- Premisecitation
Large variability in the age at onset of AD symptoms exists even among families who share common pathogenic mutations.
“The large variability in the age at onset of AD symptoms even among families who share common pathogenic mutations [31]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Campion D, Dumanchin C, Hannequin D, Dubois B, Belliard S, Puel M, … Frebourg T (1999). Early-onset autosomal dominant Alzheimer disease: prevalence, genetic heterogeneity, and mutation spectrum. American journal of human genetics, 65(3), 664– 670. 10441572 PMC1377972 source
Not checked in the free run.
- Premisecitation
Common genetic variants impacting AD are not randomly distributed across the genome; instead, they are enriched for localization to regulatory elements active largely in human monocytes, macrophages, and microglia.
“we now understand that common genetic variants impacting AD are not randomly distributed across the genome. Instead, these variants seem to be enriched for localization to regulatory elements active largely in human monocytes, macrophages, and microglia.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334 source
Not checked in the free run.
- cites [183] Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M, & Weale ME (2016). Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. Ann Clin Transl Neurol, 3(12), 924– 933. 28097204 PMC5224821 source
Not checked in the free run.
- cites [184] Tansey KE, Cameron D, & Hill MJ (2018). Genetic risk for Alzheimer’s disease is concentrated in specific macrophage and microglial transcriptional networks. Genome medicine, 10(1), 14. 29482603 PMC5828245 source
Not checked in the free run.
- Premisecitation
Highly efficient techniques exist to derive microglia-like cells from human induced pluripotent stem cells (iPSCs).
“This has resulted in highly efficient techniques to derive microglia-like cells from human induced pluripotent stem cells (iPSCs) [278, 279].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [278] McQuade A, Coburn M, Tu CH, Hasselmann J, Davtyan H, & Blurton-Jones M (2018). Development and validation of a simplified method to generate human microglia from pluripotent stem cells. Molecular neurodegeneration, 13(1), 67. 30577865 PMC6303871 source
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- cites [279] Abud EM, Ramirez RN, Martinez ES, Healy LM, Nguyen CHH, Newman SA, … Blurton-Jones M (2017). iPSC-Derived Human Microglia-like Cells to Study Neurological Diseases. Neuron, 94(2), 278– 293 e9. 28426964 PMC5482419 source
Not checked in the free run.
- Interpretationreasoning
Some of the missing heritability of AD may be attributable to the heterogeneity of the disease itself.
“Finally, some of the “missing heritability” of AD may be attributable to the heterogeneity of the disease itself.”
Quote in the paperSubstantial claim - Premisecitation
Most GWAS are conducted using a standard additive model, where heterozygous variant carriers exhibit a phenotype approximately intermediate in severity relative to each homozygous genotype.
“most GWAS are conducted using a standard additive model [266], where it is hypothesized heterozygous variant carriers exhibit a phenotype approximately intermediate in severity relative to each homozygous genotype.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [266] Sebastiani P, Timofeev N, Dworkis DA, Perls TT, & Steinberg MH (2009). Genome-wide association studies and the genetic dissection of complex traits. American Journal of Hematology. 10.1002/ajh.21440 PMC2895326 19569043 source
Not checked in the free run.
- Interpretationreasoning
Recessive effects may be missed by standard GWAS.
“These recessive effects may be missed by standard GWAS.”
Quote in the paperSubstantial claim - Premisecitation
Several additional loci, including APOE, have been identified as exhibiting sex-specific association with AD endophenotypes.
“Several additional loci, including APOE [264], have been identified as exhibiting sex-specific association with AD endophenotypes”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [264] Hohman TJ, Dumitrescu L, Barnes LL, Thambisetty M, Beecham G, Kunkle B, … the Alzheimer’s Disease Neuroimaging, Initiative. (2018). Sex-Specific Association of Apolipoprotein E With Cerebrospinal Fluid Levels of Tau. JAMA neurology, 75(8), 989– 998. 29801024 PMC6142927 source
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- cites [258] Dumitrescu L, Mayeda ER, Sharman K, Moore AM, & Hohman TJ (2019). Sex Differences in the Genetic Architecture of Alzheimer’s Disease. Current genetic medicine reports, 7(1), 13– 21. 31360619 PMC6662731 source
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- cites [265] Deming Y, Dumitrescu L, Barnes LL, Thambisetty M, Kunkle B, Gifford KA, … Hohman TJ (2018). Sex-specific genetic predictors of Alzheimer’s disease biomarkers. Acta neuropathologica, 136(6), 857– 872. 29967939 PMC6280657 source
Not checked in the free run.
- Interpretationreasoning
Including these complex cases in the AD pool will likely reduce statistical power to identify genetic variants associated specifically with AD.
“including these complex cases in the AD pool will likely reduce statistical power to identify genetic variants associated specifically with AD.”
Quote in the paperSubstantial claim - Premisecitation
A significant majority of patients diagnosed with AD also exhibit signs of additional pathologies including vascular lesions, Lewy bodies, TDP43 pathology or cerebral amyloid angiopathy.
“A significant majority of patients diagnosed with AD also exhibit signs of additional pathologies including vascular lesions, Lewy bodies, TDP43 pathology or cerebral amyloid angiopathy [275]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [275] DeTure MA, & Dickson DW (2019). The neuropathological diagnosis of Alzheimer’s disease. Molecular neurodegeneration, 14(1), 32. 31375134 PMC6679484 source
Not checked in the free run.
- Premisecitation
Efforts to expand existing AD mouse models through the inclusion of genetic diversity have resulted in resources that show a more significant overlap with human AD transcriptional profiles than models on a single genetic background.
“efforts to expand existing AD mouse models through the inclusion of genetic diversity [288, 289] have resulted in resources that show a more significant overlap with human AD transcriptional profiles than models on a single genetic background [288]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [288] Neuner SM, Heuer SE, Huentelman MJ, O’Connell KMS, & Kaczorowski CC (2019). Harnessing Genetic Complexity to Enhance Translatability of Alzheimer’s Disease Mouse Models: A Path toward Precision Medicine. Neuron, 101(3), 399– 411 e5. 30595332 PMC6886697 source
Not checked in the free run.
- May combine two claims. 73
- Classified as probably not a substantial claim. 30
- The quote only partly states this claim. 2
May combine two claims.
PremisecitationCaucasian individuals with two copies of APOEε4 have on average a 15-fold increased risk for LOAD relative to those carrying no APOEε4 alleles, whereas risk for individuals carrying only one APOEε4 allele is about 3 times that of non-carriers.
“Caucasian individuals with two copies of APOEε4 have on average a 15-fold increased risk for LOAD relative to those carrying no APOEε4 alleles, whereas risk for individuals carrying only one APOEε4 allele decreases to ~3 times that of non-carriers [58].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [58] Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, … van Duijn CM (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA: the journal of the American Medical Association, 278(16), 1349– 1356. 9343467
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PremisecitationUp to a 30-fold increase in disease risk was observed among Japanese individuals with two ε4 alleles as compared to a 15-fold increased risk in Caucasians.
“up to a 30-fold increase in disease risk was observed among Japanese individuals with two ε4 alleles as compared to a 15-fold increased risk in Caucasians [59, 60]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [59] Miyashita A, Koike A, Jun G, Wang LS, Takahashi S, Matsubara E, … Kuwano R (2013). SORL1 is genetically associated with late-onset Alzheimer’s disease in Japanese, Koreans and Caucasians. PloS one, 8(4), e58618. 23565137 PMC3614978
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- cites [60] Jun GR, Chung J, Mez J, Barber R, Beecham GW, Bennett DA, … Farrer LA (2017). Transethnic genome-wide scan identifies novel Alzheimer’s disease loci. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 13(7), 727– 738. PMC5496797 28183528
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PremisecitationAPOEε4 is less frequent (~14%) among the general population but drastically increases risk for Alzheimer's disease in a dose-dependent manner.
“APOEε4 is less frequent (~14%) among the general population but drastically increases risk for AD in a dose-dependent manner [54, 57]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [54] Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, … Pericak-Vance MA (1993). Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science, 261(5123), 921– 923. 8346443 source
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- cites [57] Liu CC, Liu CC, Kanekiyo T, Xu H, & Bu G (2013). Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nature reviews. Neurology, 9(2), 106– 118. 23296339 PMC3726719 source
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PremisecitationThe effect of PSEN2 mutations is more variable than either PSEN1 or APP mutations, with age of onset in PSEN2 mutation carriers ranging from 40 to 85 years of age.
“The effect of PSEN2 mutations is more variable than either PSEN1 or APP mutations, with age of onset in PSEN2 mutation carriers ranging from 40 to 85 years of age [50, 51].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [50] Ryan NS, & Rossor MN (2010). Correlating familial Alzheimer’s disease gene mutations with clinical phenotype. Biomarkers in medicine, 4(1), 99– 112. 20387306 PMC3937872
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- cites [51] Pilotto A, Padovani A, & Borroni B (2013). Clinical, biological, and imaging features of monogenic Alzheimer’s Disease. BioMed research international, 2013, 689591. 24377094 PMC3860086
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May combine two claims.
PremisecitationThe association between APOEε4 and Alzheimer's disease is weaker among African-American and Hispanic individuals and nonexistent among Nigerian individuals.
“the association between ε4 and disease is reported to be weaker among African-American and Hispanic individuals [58, 61, 62] and nonexistent among Nigerian individuals [63].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [58] Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, … van Duijn CM (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA: the journal of the American Medical Association, 278(16), 1349– 1356. 9343467 source
Not checked in the free run.
- cites [61] Murrell JR, Price B, Lane KA, Baiyewu O, Gureje O, Ogunniyi A, … Hall KS (2006). Association of apolipoprotein E genotype and Alzheimer disease in African Americans. Archives of neurology, 63(3), 431– 434. 16533971 PMC3203415 source
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- cites [62] Rajabli F, Feliciano BE, Celis K, Hamilton-Nelson KL, Whitehead PL, Adams LD, … Pericak-Vance MA (2018). Ancestral origin of ApoE epsilon4 Alzheimer disease risk in Puerto Rican and African American populations. PLoS genetics, 14(12), e1007791. 30517106 PMC6281216 source
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- cites [63] Gureje O, Ogunniyi A, Baiyewu O, Price B, Unverzagt FW, Evans RM, … Murrell JR (2006). APOE epsilon4 is not associated with Alzheimer’s disease in elderly Nigerians. Annals of neurology, 59(1), 182– 185. 16278853 PMC2855121 source
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May combine two claims.
PremisecitationEOAD and LOAD share common pathological features and are both considered to be highly heritable.
“the two subsets share common pathological features and are both considered to be highly heritable.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMutations in PSEN1 are the most common cause of ADAD; as of April 2020, over 350 mutations (some of unclear pathogenicity) have been identified.
“Mutations in PSEN1 are the most common cause of ADAD; as of April 2020, over 350 mutations (some of unclear pathogenicity) have been identified (www.Alzforum.org).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe overall effect of APP mutations is generally increased production and/or aggregation of amyloid, although the precise mechanism differs by mutation type and localization.
“The overall effect of APP mutations is generally increased production and/or aggregation of amyloid, although the precise mechanism differs by mutation type and localization.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAutosomal dominant Alzheimer's disease (ADAD) is very rare, accounting for less than 1% of all cases of Alzheimer's disease.
“ADAD is very rare, accounting for less than <1% of all cases of AD [2, 31–33]”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [2] Cacace R, Sleegers K, & Van Broeckhoven C (2016). Molecular genetics of early-onset Alzheimer’s disease revisited. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(6), 733– 748. 27016693 source
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- cites [31] Campion D, Dumanchin C, Hannequin D, Dubois B, Belliard S, Puel M, … Frebourg T (1999). Early-onset autosomal dominant Alzheimer disease: prevalence, genetic heterogeneity, and mutation spectrum. American journal of human genetics, 65(3), 664– 670. 10441572 PMC1377972 source
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- cites [32] Brickell KL, Steinbart EJ, Rumbaugh M, Payami H, Schellenberg GD, Van Deerlin V, … Bird TD (2006). Early-onset Alzheimer disease in families with late-onset Alzheimer disease: a potential important subtype of familial Alzheimer disease. Archives of neurology, 63(9), 1307– 1311. 16966510 source
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- cites [33] Bekris LM, Yu CE, Bird TD, & Tsuang DW (2010). Genetics of Alzheimer disease. Journal of geriatric psychiatry and neurology, 23(4), 213– 227. 21045163 PMC3044597 source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAPOEε3 is the most common allele in all human populations, present in almost 80% of individuals.
“Of the three alleles, APOEε3 is the most common in all human populations, present in almost 80% of individuals [57].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57] Liu CC, Liu CC, Kanekiyo T, Xu H, & Bu G (2013). Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nature reviews. Neurology, 9(2), 106– 118. 23296339 PMC3726719 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe amyloid cascade hypothesis posits that amyloid deposition is an initial causative event in a cascade of symptoms resulting in neurodegeneration and cognitive decline.
“the “amyloid cascade hypothesis” which posits that amyloid deposition is an initial causative event in a cascade of symptoms resulting in neurodegeneration and cognitive decline [39].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Hardy JA, & Higgins GA (1992). Alzheimer’s disease: the amyloid cascade hypothesis. Science, 256(5054), 184– 185. 1566067
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May combine two claims.
PremisecitationA second 2009 GWAS replicated the association of SNPs near CLU with LOAD and identified another locus on chromosome 1 as associated with disease, near the gene encoding the complement receptor 1 (CR1).
“A second 2009 GWAS replicated the association of SNPs near CLU with LOAD and identified another locus on chromosome 1 as associated with disease, near the gene encoding the complement receptor 1 (CR1) [92].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92] Lambert JC, Heath S, Even G, Campion D, Sleegers K, Hiltunen M, … Amouyel P (2009). Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nature genetics, 41(10), 1094– 1099. 19734903
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May combine two claims.
PremisecitationProxy risk for Alzheimer's disease, defined as a parental history of AD, exhibits strong genetic correlation with AD and can be combined with existing GWAS datasets to enhance statistical power to find true genetic associations with disease.
“Proxy risk for AD, defined as a parental history of AD, exhibits strong genetic correlation with AD [113] and can thus be combined with existing GWAS datasets to enhance statistical power to find true genetic associations with disease.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [113] Jansen IE, Savage JE, Watanabe K, Bryois J, Williams DM, Steinberg S, … Posthuma D (2019). Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nature genetics, 51(3), 404– 413. 30617256 PMC6836675 source
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PremisecitationAPOEε2 appears to reduce risk for Alzheimer's disease, with carriers of even one APOEε2 allele in combination with APOEε3 exhibiting only about half the risk of those carrying two APOEε3 alleles.
“APOEε2 appears to reduce risk for AD, with carriers of even one APOEε2 allele in combination with APOEε3 exhibiting only about half the risk of those carrying two APOEε3 alleles [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, … van Duijn CM (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA: the journal of the American Medical Association, 278(16), 1349– 1356. 9343467
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PremisecitationThe most recent meta-analysis identified novel variants not previously associated with Alzheimer's disease by standard GWAS, including variants near IQCK.
“this GWAS identified novel variants not previously associated with the disease by standard GWAS, including variants near IQCK [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, … Environmental Risk for Alzheimer’s Disease, Consortium. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nature genetics, 51(3), 414– 430. 30820047 PMC6463297
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PremisecitationAssociation signals in the MS4A region were stronger in APOEε4− subjects, while variants in the PICALM region exhibit stronger associations in APOEε4+ subjects, suggesting independent mechanisms may partially contribute to Alzheimer's disease across APOE genotypes.
“association signals in the MS4A region were also stronger in APOEε4− subjects [107], while variants in the PICALM region exhibit stronger associations in APOEε4+ subjects [111], further suggesting independent mechanisms may partially contribute to AD across APOE genotypes.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [107] Jun G, Ibrahim-Verbaas CA, Vronskaya M, Lambert J-C, Chung J, Naj AC, … Farrer LA (2016). A novel Alzheimer disease locus located near the gene encoding tau protein. Molecular psychiatry, 21(1), 108– 117. 25778476 PMC4573764
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- cites [111] Jun G, Naj AC, Beecham GW, Wang L-S, Buros J, Gallins PJ, … Schellenberg GD (2010). Meta-analysis confirms CR1, CLU, and PICALM as alzheimer disease risk loci and reveals interactions with APOE genotypes. Archives of neurology, 67(12), 1473– 1484. 20697030 PMC3048805
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Premisenone givenIn 2009, the first large-scale GWAS were published and loci outside of APOE were implicated in LOAD risk for the first time.
“In 2009, the first large-scale GWAS were published and loci outside of APOE were implicated in LOAD risk for the first time.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSNPs protective against Alzheimer's disease were associated with increased expression of MAPT exon 3, which has previously been associated with decreased aggregation of tau protein and protection from neurodegeneration.
“SNPs protective against AD were associated with increased expression of MAPT exon 3, which has previously been associated with decreased aggregation of tau protein [108, 109] and protection from neurodegeneration [110].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [108] Trabzuni D, Wray S, Vandrovcova J, Ramasamy A, Walker R, Smith C, … Ryten M (2012). MAPT expression and splicing is differentially regulated by brain region: relation to genotype and implication for tauopathies. Human molecular genetics, 21(18), 4094– 4103. 22723018 PMC3428157
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- cites [109] Zhong Q, Congdon EE, Nagaraja HN, & Kuret J (2012). Tau isoform composition influences rate and extent of filament formation. The Journal of biological chemistry, 287(24), 20711– 20719. 22539343 PMC3370253
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- cites [110] Caffrey TM, Joachim C, & Wade-Martins R (2008). Haplotype-specific expression of the N-terminal exons 2 and 3 at the human MAPT locus. Neurobiology of aging, 29(12), 1923– 1929. 17602795 PMC2801070
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Probably not a substantial claim: may not pass S1 (asserted). May combine two claims.
InterpretationreasoningEither APOE genotype interacts with surrounding genetic variants to dictate disease risk, or protective alleles within the African APOE haplotype reduce the effect of APOEε4 on disease.
“This finding suggests either 1) APOE genotype interacts with some surrounding genetic variants to dictate disease risk, or 2) protective alleles within the African APOE haplotype reduce the effect of APOEε4 on disease, providing hypotheses to test in future studies.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningGenetic variation at the APOE locus is the most significant common genetic risk factor for LOAD, and genetic variation at other loci individually confers only small effects on disease risk.
“The identification of APOE as the sole risk factor in small GWAS demonstrates that genetic variation at this locus is the most significant common genetic risk factor for LOAD, and genetic variation at other loci individually confer only small effects on disease risk.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationSeveral ethnicity-specific loci associated with Alzheimer's disease have been identified, including variants on 18q23 in Caribbean Hispanics and variants near KCHN15 in Chinese.
“several ethnicity-specific loci associated with disease have been identified, including variants on 18q23 in Caribbean Hispanics [99] and variants near KCHN15 in Chinese [100].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [99] Lee JH, Cheng R, Barral S, Reitz C, Medrano M, Lantigua R, … Mayeux R (2011). Identification of novel loci for Alzheimer disease and replication of CLU, PICALM, and BIN1 in Caribbean Hispanic individuals. Archives of neurology, 68(3), 320– 328. 21059989 PMC3268783
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- cites [100] Zhou X, Chen Y, Mok KY, Zhao Q, Chen K, Chen Y, … Alzheimer’s Disease Neuroimaging, Initiative. (2018). Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis. Proceedings of the National Academy of Sciences of the United States of America, 115(8), 1697– 1706. 29432188 PMC5828602
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PremisecitationThe most recent meta-analysis of LOAD risk included data from over 95,000 individuals across 46 datasets and validated over 20 loci previously associated with disease, including well-replicated variants located near genes including BIN1, CD2AP, CLU, ABCA7, and INPP5D, among others.
“The most recent meta-analysis of LOAD risk included data from over 95,000 individuals across 46 datasets and validated over 20 loci previously associated with disease, including well-replicated variants located near genes including BIN1, CD2AP, CLU, ABCA7, and INPP5D, among others [97] (Table S1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, … Environmental Risk for Alzheimer’s Disease, Consortium. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nature genetics, 51(3), 414– 430. 30820047 PMC6463297
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PremisecitationProxy approaches show substantial genetic overlap with previous case-control GWAS and nominate a number of novel loci associated with proxy risk for Alzheimer's disease.
“these approaches show substantial genetic overlap with previous case-control GWAS and nominate a number of novel loci associated with proxy risk for AD [112–114].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [112] Liu JZ, Erlich Y, & Pickrell JK (2017). Case-control association mapping by proxy using family history of disease. Nature genetics, 49(3), 325– 331. 28092683 source
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- cites [113] Jansen IE, Savage JE, Watanabe K, Bryois J, Williams DM, Steinberg S, … Posthuma D (2019). Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nature genetics, 51(3), 404– 413. 30617256 PMC6836675 source
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- cites [114] Marioni RE, Harris SE, Zhang Q, McRae AF, Hagenaars SP, Hill WD, … Visscher PM (2018). GWAS on family history of Alzheimer’s disease. Translational psychiatry, 8(1), 99. 29777097 PMC5959890 source
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InterpretationcitationAD is likely influenced by a large number of susceptibility genes, reflecting a complex set of biological pathways related to the disease.
“This supports the notion that AD is likely influenced by a large number of susceptibility genes, reflecting a complex set of biological pathways related to the disease [123].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [123] Escott-Price V, Shoai M, Pither R, Williams J, & Hardy J (2017). Polygenic score prediction captures nearly all common genetic risk for Alzheimer’s disease. Neurobiology of aging, 49, 214 e7– 214 e11. 27595457 source
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PremisecitationPolygenic risk scores have been expanded in the context of Alzheimer's disease and used for individualized risk prediction.
“These “polygenic risk scores” (PRS) have since been expanded upon in the context of AD and used for individualized risk prediction [118]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [118] Desikan RS, Fan CC, Wang Y, Schork AJ, Cabral HJ, Cupples LA, … Dale AM (2017). Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score. PLoS medicine, 14(3), e1002258. 28323831 PMC5360219
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InterpretationreasoningMany of the genes containing coding variants are highly expressed in microglia and function within the immune system, highlighting this pathway as critical for Alzheimer's disease risk.
“Many of these genes containing coding variants are highly expressed in microglia and function within the immune system, highlighting this pathway as critical for disease risk.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationShared genetic architecture exists between EOAD and LOAD, with some of the same loci influencing risk for disease in both cases.
“Together, these results suggest shared genetic architecture exists between both EOAD and LOAD, with some of the same loci influencing risk for disease in both cases.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Cruchaga C, Del-Aguila JL, Saef B, Black K, Fernandez MV, Budde J, … Harari O (2018). Polygenic risk score of sporadic late-onset Alzheimer’s disease reveals a shared architecture with the familial and early-onset forms. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 14(2), 205– 214. PMC5803427 28943286
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PremisecitationThe R47H variant decreases the stability of the TREM2 protein, potentially conferring reduced functionality.
“and decreases the stability of the protein, potentially conferring reduced functionality [136].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [136] Sudom A, Talreja S, Danao J, Bragg E, Kegel R, Min X, … Wang Z (2018). Molecular basis for the loss-of-function effects of the Alzheimer’s disease-associated R47H variant of the immune receptor TREM2. The Journal of biological chemistry, 293(32), 12634– 12646. 29794134 PMC6093241
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PremisecitationThe burden (PRS) of LOAD GWAS variants significantly predicted disease risk and age at onset in both familial LOAD and sporadic EOAD.
“It was found that the burden (PRS) of LOAD GWAS variants significantly predicted disease risk and age at onset in both familial LOAD and sporadic EOAD [26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Cruchaga C, Del-Aguila JL, Saef B, Black K, Fernandez MV, Budde J, … Harari O (2018). Polygenic risk score of sporadic late-onset Alzheimer’s disease reveals a shared architecture with the familial and early-onset forms. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 14(2), 205– 214. PMC5803427 28943286
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PremisecitationThe R47H variant has been associated with AD risk, neuropathology, brain atrophy, and additional behavioral symptoms such as anxiety in AD patients.
“Since its identification, the R47H variant has been associated not only with AD risk but also neuropathology, brain atrophy, and additional behavioral symptoms such as anxiety in AD patients [133–135].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [133] Luis EO, Ortega-Cubero S, Lamet I, Razquin C, Cruchaga C, Benitez BA, … Pastor P (2014). Frontobasal gray matter loss is associated with the TREM2 p.R47H variant. Neurobiology of aging, 35(12), 2681– 2690. 25027412 PMC4253600
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- cites [134] Deming Y, Filipello F, Cignarella F, Cantoni C, Hsu S, Mikesell R, … Cruchaga C (2019). The MS4A gene cluster is a key modulator of soluble TREM2 and Alzheimer’s disease risk. Science translational medicine, 11(505). 10.1126/scitranslmed.aau2291 PMC6697053 31413141
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- cites [135] Guerreiro R, Bilgic B, Guven G, Bras J, Rohrer J, Lohmann E, … Emre M (2013). Novel compound heterozygous mutation in TREM2 found in a Turkish frontotemporal dementia-like family. Neurobiology of aging, 34(12), 2890 e1– 5. PMC3898264 23870839
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PremisecitationExpanding PRS to include variants below the genome-wide statistical cutoff allows for a more complete view of the genetic contribution to disease risk and seems to provide an improved method for risk prediction over more selective PRS or standard predictors such as APOEε4 alleles, age, and sex.
“risk and seems to provide an improved method for risk prediction over more selective PRS or standard predictors such as APOEε4 alleles, age, and sex [118, 122, 123].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [118] Desikan RS, Fan CC, Wang Y, Schork AJ, Cabral HJ, Cupples LA, … Dale AM (2017). Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score. PLoS medicine, 14(3), e1002258. 28323831 PMC5360219 source
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- cites [122] Escott-Price V, Sims R, Bannister C, Harold D, Vronskaya M, Majounie E, … Williams J (2015). Common polygenic variation enhances risk prediction for Alzheimer’s disease. Brain: a journal of neurology, 138(Pt 12), 3673– 3684. 26490334 PMC5006219 source
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- cites [123] Escott-Price V, Shoai M, Pither R, Williams J, & Hardy J (2017). Polygenic score prediction captures nearly all common genetic risk for Alzheimer’s disease. Neurobiology of aging, 49, 214 e7– 214 e11. 27595457 source
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PremisecitationAdditional genes identified to harbor rare variants associated with AD risk include AKAP9, UNC5, and ADAM10, although the strength of these associations and the role of these genes in disease etiology remains less well-established.
“Additional genes identified to harbor rare variants associated with AD risk include AKAP9, UNC5, and ADAM10, although the strength of these associations and the role of these genes in disease etiology remains less well-established [145, 146].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [145] Lord J, Lu AJ, & Cruchaga C (2014). Identification of rare variants in Alzheimer’s disease. Frontiers in genetics, 5, 369. 25389433 PMC4211559
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- cites [146] Del-Aguila JL, Koboldt DC, Black K, Chasse R, Norton J, Wilson RK, & Cruchaga C (2015). Alzheimer’s disease: rare variants with large effect sizes. Current opinion in genetics & development, 33, 49– 55. 26311074
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PremisecitationPLGC2 harbors a protective variant and encodes a transmembrane signaling enzyme implicated in lipid metabolism, calcium homeostasis, and immune response.
“PLGC2, which harbors a protective variant, encodes a transmembrane signaling enzyme implicated in lipid metabolism, calcium homeostasis, and immune response [130, 142].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [130] Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, … Schellenberg GD (2017). Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer’s disease. Nature genetics, 49(9), 1373– 1384. 28714976 PMC5669039
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- cites [142] Milner JD (2015). PLAID: a Syndrome of Complex Patterns of Disease and Unique Phenotypes. Journal of clinical immunology, 35(6), 527– 530. 26206677 PMC4575258
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PremisecitationABI3 has been implicated in regulation of the immune response through interferon signaling and plays a role in actin cytoskeletal organization.
“ABI3 has similarly been implicated in regulation of the immune response through interferon signaling [143] and also plays a role in actin cytoskeletal organization [144].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [143] Fairfax BP, Humburg P, Makino S, Naranbhai V, Wong D, Lau E, … Knight JC (2014). Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression. Science, 343(6175), 1118– +. PMC4064786 24604202 source
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- cites [144] Sekino S, Kashiwagi Y, Kanazawa H, Takada K, Baba T, Sato S, … Tani K (2015). The NESH/Abi-3-based WAVE2 complex is functionally distinct from the Abi-1-based WAVE2 complex. Cell communication and signaling: CCS, 13, 41. 26428302 PMC4589964 source
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PremisecitationIn the familial EOAD study, the sample size was small and variant burden may have been associated with age at symptom onset in these families.
“Although GWAS variants were not associated with risk for familial EOAD inherited in an autosomal dominant fashion, the researchers noted that the sample size was small and that variant burden may have been associated with age at symptom onset in these families [26].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Cruchaga C, Del-Aguila JL, Saef B, Black K, Fernandez MV, Budde J, … Harari O (2018). Polygenic risk score of sporadic late-onset Alzheimer’s disease reveals a shared architecture with the familial and early-onset forms. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 14(2), 205– 214. PMC5803427 28943286
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PremisecitationPRS scores derived from large numbers of common variants have been used to significantly predict age at onset of AD as well as likelihood of longitudinal progression from mild cognitive impairment to AD.
“In addition to overt disease risk, PRS scores derived from large numbers of common variants have been used to significantly predict age at onset of AD as well as likelihood of longitudinal progression from mild cognitive impairment to AD [118].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [118] Desikan RS, Fan CC, Wang Y, Schork AJ, Cabral HJ, Cupples LA, … Dale AM (2017). Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score. PLoS medicine, 14(3), e1002258. 28323831 PMC5360219
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHistone modifications can reliably be measured across the genome using ChIP-seq, while chromatin accessibility is typically measured by either DNase-seq or ATAC-seq.
“Histone modifications can reliably be measured across the genome using chromatin immunoprecipitation followed by sequencing (ChIP-seq), while chromatin accessibility is typically measured by either DNase hypersensitivity analysis (DNase-seq) [168] or assay for transposase-accessible chromatin using sequencing”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [168] Maurano MT, Humbert R, Rynes E, Thurman RE, Haugen E, Wang H, … Stamatoyannopoulos JA (2012). Systematic localization of common disease-associated variation in regulatory DNA. Science, 337(6099), 1190– 1195. 22955828 PMC3771521 source
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- cites [177] Buenrostro JD, Wu B, Chang HY, & Greenleaf WJ (2015). ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide. Current protocols in molecular biology / edited by Frederick M. Ausubel... [et al.], 109, 21 29 1– 9. PMC4374986 25559105 source
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PremisecitationRegulatory elements can act on downstream target genes located a long distance away and have diverse effects depending on the context in which they are activated, making the specific genes impacted by GWAS SNPs difficult to identify.
“However, regulatory elements can act on downstream target genes located a long distance away and have diverse effects depending on the context in which they are activated [169], making the specific genes impacted by GWAS SNPs difficult to identify.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [169] Jowett JB, Curran JE, Johnson MP, Carless MA, Goring HH, Dyer TD, … Blangero J (2010). Genetic variation at the FTO locus influences RBL2 gene expression. Diabetes, 59(3), 726– 732. 20009087 PMC2828652 source
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PremisecitationRare variants in SORL1 and ABCA7 have been identified in family-based studies of LOAD, each associated with alterations in APP processing.
“For example, rare variants in SORL1 and ABCA7 have been identified in family-based studies of LOAD [147–150], each of which have been associated with alterations in APP processing.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [147] Vardarajan BN, Zhang Y, Lee JH, Cheng R, Bohm C, Ghani M, … Mayeux R (2015). Coding mutations in SORL1 and Alzheimer disease. Annals of neurology, 77(2), 215– 227. 25382023 PMC4367199 source
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- cites [148] Raghavan NS, Brickman AM, Andrews H, Manly JJ, Schupf N, Lantigua R, … Alzheimer’s Disease Sequencing, Project. (2018). Whole-exome sequencing in 20,197 persons for rare variants in Alzheimer’s disease. Ann Clin Transl Neurol, 5(7), 832– 842. 30009200 PMC6043775 source
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- cites [149] Cruchaga C, Karch CM, Jin SC, Benitez BA, Cai Y, Guerreiro R, … Goate AM (2014). Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer’s disease. Nature, 505(7484), 550– 554. 24336208 PMC4050701 source
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- cites [150] Le Guennec K, Nicolas G, Quenez O, Charbonnier C, Wallon D, Bellenguez C, … Cnr-Maj collaborators. (2016). ABCA7 rare variants and Alzheimer disease risk. Neurology, 86(23), 2134– 2137. 27037229 PMC4898320 source
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InterpretationreasoningGiven the overlap between EOAD and LOAD, these modifiers may provide potential therapeutic targets for a more general population.
“Given the overlap between EOAD and LOAD as discussed above, these modifiers may provide potential therapeutic targets for a more general population.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEnhancers are difficult to confidently identify from DNA sequence alone, but are instead defined by the presence of several functional marks including specific histone modifications that promote transcription and by accessibility of local chromatin.
“Enhancers are difficult to confidently identify from DNA sequence alone, but are instead defined by the presence of several functional marks including specific histone modifications that promote transcription [176] and by accessibility of local chromatin.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [176] Catarino RR, & Stark A (2018). Assessing sufficiency and necessity of enhancer activities for gene expression and the mechanisms of transcription activation. Genes & development, 32(3–4), 202– 223. 29491135 PMC5859963
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PremisecitationRare variants typically have a more deleterious impact on protein structure and/or function than common variants and thus have a larger effect on disease susceptibility than those identified by GWAS.
“Rare variants typically have a more deleterious impact on protein structure and/or function than common variants [166, 167] and thus have a larger effect on disease susceptibility than those identified by GWAS.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [166] Park JH, Gail MH, Weinberg CR, Carroll RJ, Chung CC, Wang Z, … Chatterjee N (2011). Distribution of allele frequencies and effect sizes and their interrelationships for common genetic susceptibility variants. Proceedings of the National Academy of Sciences of the United States of America, 108(44), 18026– 18031. 22003128 PMC3207674
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- cites [167] Eyre-Walker A (2010). Evolution in health and medicine Sackler colloquium: Genetic architecture of a complex trait and its implications for fitness and genome-wide association studies. Proceedings of the National Academy of Sciences of the United States of America, 107 Suppl 1, 1752– 1756. 20133822 PMC2868283
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InterpretationreasoningThe gene impacted by the identified rare variant is often immediately apparent, making it possible to more easily model the effect of the variant in cell-based assays or model organisms.
“This, combined with the effect that the gene impacted by the identified variant is often immediately apparent, makes it possible to more easily model the effect of the variant in cell-based assays or model organisms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA variety of assays now exist to capture three-dimensional architecture, including various adaptations of chromosome conformation capture (3C).
“A variety of assays now exist to capture this three-dimensional architecture, including various adaptations of chromosome conformation capture (3C) [179].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [179] Gavrilov A, Eivazova E, Priozhkova I, Lipinski M, Razin S, & Vassetzky Y (2009). Chromosome conformation capture (from 3C to 5C) and its ChIP-based modification. Methods in molecular biology, 567, 171– 188. 19588093 source
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PremisecitationDisease-associated mutations in SORL1 have been linked with altered levels of APP at the cell surface and increased production of toxic Aβ species.
“Disease-associated mutations in SORL1 have been linked with altered levels of APP at the cell surface and increased production of toxic Aβ species [147].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [147] Vardarajan BN, Zhang Y, Lee JH, Cheng R, Bohm C, Ghani M, … Mayeux R (2015). Coding mutations in SORL1 and Alzheimer disease. Annals of neurology, 77(2), 215– 227. 25382023 PMC4367199
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PremisecitationThere is evidence that groups of genes close together in chromosomal space function in similar biological pathways, suggesting this approach may be valid to identify overall pathways and functions perturbed by GWAS variants, although the specific genes investigated may not be direct targets of the causal variants in the region.
“Interestingly, there is evidence that groups of genes close together in chromosomal space function in similar biological pathways [172], suggesting this approach may be valid to identify overall pathways and functions perturbed by GWAS variants, although the specific genes investigated may not be direct targets of the causal variants in the region.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [172] Thevenin A, Ein-Dor L, Ozery-Flato M, & Shamir R (2014). Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome. Nucleic acids research, 42(15), 9854– 9861. 25056310 PMC4150778
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PremisecitationSORL1 is a sorting receptor located in neurons, astrocytes, and microglia and is known to direct APP toward non-amyloidogenic processing in the trans-Golgi network.
“SORL1, a sorting receptor located in neurons [152], astrocytes, and microglia [153] is known to direct APP toward non-amyloidogenic processing in the trans-Golgi network [148, 154].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [152] Grear KE, Ling IF, Simpson JF, Furman JL, Simmons CR, Peterson SL, … Estus S (2009). Expression of SORL1 and a novel SORL1 splice variant in normal and Alzheimers disease brain. Molecular neurodegeneration, 4, 46. 19889229 PMC2776013 source
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- cites [153] Zhang Y, Sloan SA, Clarke LE, Caneda C, Plaza CA, Blumenthal PD, … Barres BA (2016). Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse. Neuron, 89(1), 37– 53. 26687838 PMC4707064 source
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- cites [148] Raghavan NS, Brickman AM, Andrews H, Manly JJ, Schupf N, Lantigua R, … Alzheimer’s Disease Sequencing, Project. (2018). Whole-exome sequencing in 20,197 persons for rare variants in Alzheimer’s disease. Ann Clin Transl Neurol, 5(7), 832– 842. 30009200 PMC6043775 source
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- cites [154] Rogaeva E, Meng Y, Lee JH, Gu Y, Kawarai T, Zou F, … St George-Hyslop P (2007). The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease. Nature genetics, 39(2), 168– 177. 17220890 PMC2657343 source
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Premisenone givenEnhancers, short genomic sequences distally located from their target genes, confer additional cell- and tissue-type specificity to the regulation of gene expression.
“Enhancers, short genomic sequences distally located from their target genes, confer additional cell- and tissue-type specificity to the regulation of gene expression.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPromoters proximal to the transcription start site of protein coding genes can recruit the binding of specific transcription factors, activators, or repressors.
“For example, promoters proximal to the transcription start site of protein coding genes can recruit the binding of specific transcription factors, activators, or repressors [175].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [175] Fuda NJ, Ardehali MB, & Lis JT (2009). Defining mechanisms that regulate RNA polymerase II transcription in vivo. Nature, 461(7261), 186– 192. 19741698 PMC2833331
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEnhancers are often located at a considerable distance from their target genes, and it is believed they function by recruiting specific chromatin remodeling factors that promote the formation of chromatin loops, bringing the enhancer and promoter into close proximity.
“As enhancers are often located at a considerable distance from their target genes, it is believed they function by recruiting specific chromatin remodeling factors that promote the formation of chromatin loops, bringing the enhancer and promoter into close proximity [178].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [178] Krivega I, & Dean A (2012). Enhancer and promoter interactions-long distance calls. Current opinion in genetics & development, 22(2), 79– 85. 22169023 PMC3342482 source
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InterpretationreasoningMuch of the non-coding genome has regulatory functions, suggesting a majority of GWAS variants act by perturbing gene expression, presumably in a subset of disease-relevant cell or tissue types.
“Much of the non-coding genome has regulatory functions, suggesting a majority of GWAS variants act by perturbing gene expression, presumably in a subset of disease-relevant cell or tissue types.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSPI1 is particularly important for myeloid cell differentiation and function, and has been linked to the ability of microglia to clear pathogens and cellular debris.
“SPI1 is particularly important for myeloid cell differentiation and function, and has been linked to the ability of microglia to clear pathogens and cellular debris [173, 194].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334
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- cites [194] Smith AM, Gibbons HM, Oldfield RL, Bergin PM, Mee EW, Faull RL, & Dragunow M (2013). The transcription factor PU.1 is critical for viability and function of human brain microglia. Glia, 61(6), 929– 942. 23483680
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Classified as probably not a substantial claim.
InterpretationcitationAD variants likely modify risk for AD by having a functional impact on gene expression in immune cells, particularly myeloid cells such as monocytes, macrophages, and microglia.
“Given the critical role of regulatory elements in regulating gene expression, it can be hypothesized based on the above findings that AD variants likely modify risk for AD by having a functional impact on gene expression in immune cells, particularly myeloid cells such as monocytes, macrophages, and microglia.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThe GWAS discussed above were primarily performed on case/control datasets and provide information regarding the genetic architecture of disease risk.
“The GWAS discussed above were primarily performed on case/control datasets and provide information regarding the genetic architecture of disease risk.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenAltered methylation at the promoters of APP, PSEN1, and APOE could modify risk for disease.
“Early clues to the involvement of epigenetic modifications in AD came from observations that altered methylation at the promoters of APP, PSEN1, and APOE could modify risk for disease.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationVariants in high LD with the lead SNP were significantly associated with regulation of SPI1 levels in myeloid cells, likely causally modifying disease through this mechanism.
“Instead, it was shown that variants in high LD with the lead SNP were significantly associated with regulation of SPI1 levels in myeloid cells, likely causally modifying disease through this mechanism [173].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [173] Huang KL, Marcora E, Pimenova AA, Di Narzo AF, Kapoor M, Jin SC, … Goate AM (2017). A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nature neuroscience, 20(8), 1052– 1061. 28628103 PMC5759334
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May combine two claims.
PremisereasoningBulk datasets do not provide specific information about the cell types through which AD variants act, but they still provide useful information as to which genes may be targeted by GWAS SNPs.
“While the use of bulk datasets does not provide specific information about the cell types through which AD variants act, they still provide useful information as to which genes may be targeted by GWAS SNPs.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenThe case/control approach does not provide information about other aspects of the disease such as age of onset or disease progression, or biological mechanisms involved in disease pathogenesis.
“However, this approach does not provide information about other aspects of the disease such as age of onset or disease progression, or as discussed, biological mechanisms involved in disease pathogenesis.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenThe case/control design can be complicated by pre-symptomatic AD patients who are misclassified as "controls" due to a current absence of clinical symptoms and non-AD dementias misclassified as probable AD.
“In addition, the case/control design can be complicated by pre-symptomatic AD patients who are misclassified as “controls” due to a current absence of clinical symptoms and non-AD dementias misclassified as probable AD.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenRegulatory elements across the genome exhibit a high degree of cell-type specificity, enabling the existence of diverse cell and tissue types as well as carefully orchestrated transcriptional responses to stimuli from a single genome.
“Regulatory elements across the genome exhibit a high degree of cell-type specificity, enabling the existence of diverse cell and tissue types as well as carefully orchestrated transcriptional responses to stimuli from a single genome.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIdentification of the precise cells and tissues in which regulatory elements containing AD risk variants are active would provide critical insight into where these variants may be acting to perturb gene expression and mediate functional effects that translate into modified risk for disease.
“Identification of the precise cells and tissues in which regulatory elements containing AD risk variants are active would provide critical insight into where these variants may be acting to perturb gene expression and mediate functional effects that translate into modified risk for disease.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationGagliano et al. identified a significant enrichment for AD-associated variants in functional annotations active in the "immune/hematopoietic cell" and "liver" categories, but not in other categories such as brain, cardiovascular, kidney, etc.
“In combination with additional annotation information including chromatin accessibility as measured by DNase hypersensitivity, Gagliano et al. [183] identified a significant enrichment for AD-associated variants in functional annotations active in the “immune/hematopoietic cell” and “liver” categories, but not in other categories such as brain, cardiovascular, kidney, etc.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [183] Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M, & Weale ME (2016). Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. Ann Clin Transl Neurol, 3(12), 924– 933. 28097204 PMC5224821 source
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Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe liver is the principal site responsible for maintaining cholesterol homeostasis in the body.
“The identification of enrichment among “liver” datasets is particularly notable given that the liver is the principal site responsible for maintaining”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [187] Trapani L, Segatto M, & Pallottini V (2012). Regulation and deregulation of cholesterol homeostasis: The liver as a metabolic “power station.” World journal of hepatology, 4(6), 184– 190. 22761969 PMC3388116
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Probably not a substantial claim: may not pass S4 (based).
Premisenone givenMost of the currently available functional annotation data is derived from healthy donors.
“It should be noted that most of the currently available functional annotation data is derived from healthy donors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMicroglia exhibit several beneficial functions in the brain such as clearance of cellular debris and orchestration of appropriate immune responses, but their chronic activation can lead to toxic neuroinflammation and aberrant pruning of synapses.
“While microglia exhibit several beneficial functions in the brain such as clearance of cellular debris and orchestration of appropriate immune responses, their chronic activation can lead to toxic neuroinflammation and aberrant pruning of synapses [203, 204].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [203] Salter MW, & Stevens B (2017). Microglia emerge as central players in brain disease. Nature medicine, 23(9), 1018– 1027. 28886007 source
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- cites [204] Hong S, Beja-Glasser VF, Nfonoyim BM, Frouin A, Li S, Ramakrishnan S, … Stevens B (2016). Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science, 352(6286), 712– 716. 27033548 PMC5094372 source
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PremisecitationLarge-scale annotation projects such as the Roadmap Epigenomics Project, the Blueprint Project, and PsychENCODE aim to generate, and make publicly available, high-quality reference annotation maps across a wide variety of human cell and tissue types.
“This search has been facilitated by large-scale annotation projects such as the Roadmap Epigenomics Project [180], the Blueprint Project [181], and PsychENCODE [182]. These projects aim to generate, and make publicly available, high-quality reference annotation maps across a wide variety of human cell and tissue types.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [180] Roadmap Epigenomics, Consortium, Kundaje A, Meuleman W, Ernst J, Bilenky M, Yen A, … Kellis M (2015). Integrative analysis of 111 reference human epigenomes. Nature, 518(7539), 317– 330. 25693563 PMC4530010 source
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- cites [181] Fernandez JM, de la Torre V, Richardson D, Royo R, Puiggros M, Moncunill V, … Valencia A (2016). The BLUEPRINT Data Analysis Portal. Cell Syst, 3(5), 491– 495 e5. 27863955 PMC5919098 source
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- cites [182] Psych, Encode Consortium, Akbarian S, Liu C, Knowles JA, Vaccarino FM, Farnham PJ, … Sestan N (2015). The PsychENCODE project. Nature neuroscience, 18(12), 1707– 1712. 26605881 PMC4675669 source
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May combine two claims.
PremisecitationThese associations were observed whether APOE was included or not, confirming the enrichment was not driven by a single moderate-effect variant.
“These associations were observed whether APOE was included or not, confirming the enrichment was not driven by a single moderate-effect variant [183].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [183] Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M, & Weale ME (2016). Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. Ann Clin Transl Neurol, 3(12), 924– 933. 28097204 PMC5224821 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCSF levels of APOE protein have been suggested to act as a valuable endophenotype for AD.
“CSF levels of APOE protein have also been suggested to act as a valuable endophenotype for AD [215], along with levels of various additional proteins, the clinical and biological relevance of which remain to be elucidated [216–218].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [215] Cruchaga C, Kauwe JS, Nowotny P, Bales K, Pickering EH, Mayo K, … Goate AM (2012). Cerebrospinal fluid APOE levels: an endophenotype for genetic studies for Alzheimer’s disease. Human molecular genetics, 21(20), 4558– 4571. 22821396 PMC3459471 source
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The quote only partly states this claim.
PremisecitationSeveral of these novel variants, including those near GLIS1 and within SERPINB1, were associated with additional aspects of disease including risk, age at onset, and progression.
“Notably, several of these novel variants, including those near GLIS1 and within SERPINB1, were associated with additional aspects of disease including risk, age at”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [211] Deming Y, Li Z, Kapoor M, Harari O, Del-Aguila JL, Black K, … Cruchaga C (2017). Genome-wide association study identifies four novel loci associated with Alzheimer’s endophenotypes and disease modifiers. Acta neuropathologica, 133(5), 839– 856. 28247064 PMC5613285
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationsTREM2 is thought to be produced either by cleavage of TREM2 by proteases such as ADAM10, ADAM17, and γ-secretase, or by alternative splicing which generates a short isoform lacking a transmembrane domain (~25% of TREM2 transcripts).
“sTREM2 is thought to be produced in one of two ways; either by cleavage of TREM2 by proteases such as ADAM10, ADAM17, and γ-secretase, or by alternative splicing which generates a short isoform lacking a transmembrane domain (~25% of TREM2 transcripts) [134].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [134] Deming Y, Filipello F, Cignarella F, Cantoni C, Hsu S, Mikesell R, … Cruchaga C (2019). The MS4A gene cluster is a key modulator of soluble TREM2 and Alzheimer’s disease risk. Science translational medicine, 11(505). 10.1126/scitranslmed.aau2291 PMC6697053 31413141
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PremisecitationsTREM2 is released into the CSF where it can be measured, and has been shown to correlate with CSF levels of tau.
“sTREM2 is then released into the CSF where it can be measured, and has been shown to correlate with CSF levels of tau [213, 214], suggesting it may be a relevant secondary biomarker of disease progression.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [213] Henjum K, Almdahl IS, Årskog V, Minthon L, Hansson O, Fladby T, & Nilsson LNG (2016). Cerebrospinal fluid soluble TREM2 in aging and Alzheimer’s disease. Alzheimer’s research & therapy, 8(1), 17. PMC4848774 27121148
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- cites [214] Suárez-Calvet M, Kleinberger G, Araque Caballero MÁ, Brendel M, Rominger A, Alcolea D, … Haass C (2016). sTREM2 cerebrospinal fluid levels are a potential biomarker for microglia activity in early-stage Alzheimer’s disease and associate with neuronal injury markers. EMBO molecular medicine, 8(5), 466– 476. 26941262 PMC5120370
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InterpretationreasoningThis approach greatly facilitates interpretation of the downstream functional consequences of the prioritized loci.
“In addition, this approach greatly facilitates interpretation of the downstream functional consequences of the prioritized loci.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLevels of various additional proteins have been suggested as endophenotypes for AD, the clinical and biological relevance of which remain to be elucidated.
“along with levels of various additional proteins, the clinical and biological relevance of which remain to be elucidated [216–218].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [216] Hampel H, Toschi N, Baldacci F, Zetterberg H, Blennow K, Kilimann I, … Alzheimer Precision Medicine, Initiative. (2018). Alzheimer’s disease biomarker-guided diagnostic workflow using the added value of six combined cerebrospinal fluid candidates: Abeta1–42, total-tau, phosphorylated-tau, NFL, neurogranin, and YKL-40. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 14(4), 492– 501. 29328927 source
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- cites [217] Blennow K (2017). A Review of Fluid Biomarkers for Alzheimer’s Disease: Moving from CSF to Blood. Neurol Ther, 6(Suppl 1), 15– 24. 28733960 PMC5520819 source
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- cites [218] Olsson B, Lautner R, Andreasson U, Ohrfelt A, Portelius E, Bjerke M, … Zetterberg H (2016). CSF and blood biomarkers for the diagnosis of Alzheimer’s disease: a systematic review and meta-analysis. Lancet neurology, 15(7), 673– 684. 27068280 source
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Interpretationnone givenThe quantitative nature of endophenotypes results in improved phenotype definition beyond traditional case-control analyses.
“As the quantitative nature of endophenotypes results in improved phenotype definition beyond traditional case-control analyses”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationPET imaging can measure glucose metabolism in the brain through the utilization of a radiolabeled alternate form of glucose, 18F-fluorodeoxyglucose (FDG).
“PET imaging can also be used to measure glucose metabolism in the brain through the utilization of a radiolabeled alternate form of glucose, 18F-fluorodeoxyglucose (FDG) [220].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [220] Ou YN, Xu W, Li JQ, Guo Y, Cui M, Chen KL, … Alzheimer’s Disease Neuroimaging, Initiative. (2019). FDG-PET as an independent biomarker for Alzheimer’s biological diagnosis: a longitudinal study. Alzheimer’s research & therapy, 11(1), 57. PMC6599313 31253185 source
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PremisecitationLarge GWAS using CSF Aβ1-42 and/or tau levels as the trait of interest have identified variants in the TREM2 cluster as associated with these quantitative endophenotypes, as well as variants in the ABCA7 and FERMT2 gene regions.
“These analyses have identified variants in the TREM2 cluster as associated with these quantitative endophenotypes, as well as variants in the ABCA7 and FERMT2 gene regions [23, 211].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23] Cruchaga C, Kauwe JS, Harari O, Jin SC, Cai Y, Karch CM, … Goate AM (2013). GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer’s disease. Neuron, 78(2), 256– 268. 23562540 PMC3664945
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- cites [211] Deming Y, Li Z, Kapoor M, Harari O, Del-Aguila JL, Black K, … Cruchaga C (2017). Genome-wide association study identifies four novel loci associated with Alzheimer’s endophenotypes and disease modifiers. Acta neuropathologica, 133(5), 839– 856. 28247064 PMC5613285
Not checked in the free run.
May combine two claims.
PremisecitationStudies have reported more rapid cognitive decline in women and increased susceptibility to neuropathology such that each unit increase of AD pathology confers a 22-fold increase in risk for AD in women compared to a 3-fold increase in males.
“studies have reported more rapid cognitive decline in women, increased susceptibility to neuropathology such that each unit increase of AD pathology confers a 22-fold increase in risk for AD in women compared to a 3-fold increase in males”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [262] Koran MEI, Wagener M, Hohman TJ, & Alzheimer’s Neuroimaging, Initiative. (2017). Sex differences in the association between AD biomarkers and cognitive decline. Brain imaging and behavior, 11(1), 205– 213. 26843008 PMC4972701
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PremisecitationWith aging, the efficacy of these surveillance systems is reduced, providing a genomic environment in which TEs may become activated and contribute to somatic mutagenesis.
“with aging, the efficacy of these systems is known to be reduced, providing a genomic environment in which TEs may become activated and contribute to somatic mutagenesis [244, 245]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [244] Maxwell PH, Burhans WC, & Curcio MJ (2011). Retrotransposition is associated with genome instability during chronological aging. Proceedings of the National Academy of Sciences of the United States of America, 108(51), 20376– 20381. 22021441 PMC3251071 source
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- cites [245] Li W, Prazak L, Chatterjee N, Gruninger S, Krug L, Theodorou D, & Dubnau J (2013). Activation of transposable elements during aging and neuronal decline in Drosophila. Nature neuroscience, 16(5), 529– 531. 23563579 PMC3821974 source
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PremisecitationA recent sex-stratified GWAS identified a male-specific protective variant located on chromosome 7 that conferred specific protection from tau pathology and was associated with delayed age at onset.
“A recent sex-stratified GWAS identified a male-specific protective variant located on chromosome 7 that conferred specific protection from tau pathology and was associated with delayed age at onset [263]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [263] Dumitrescu L, Barnes LL, Thambisetty M, Beecham G, Kunkle B, Bush WS, … Hohman TJ (2019). Sex differences in the genetic predictors of Alzheimer’s pathology. Brain: a journal of neurology, 142(9), 2581– 2589. 31497858 PMC6736148
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PremisecitationAPP gene duplications resulting from trisomy of chromosome 21 (Down's Syndrome) result in near-complete penetrance of AD neuropathology and increased incidence of dementia by age 30-40y.
“APP gene duplications that result from trisomy of chromosome 21 (Down’s Syndrome) result in near-complete penetrance of AD neuropathology and increased incidence of dementia by age 30–40y [250, 251]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [250] Wisniewski KE, Wisniewski HM, & Wen GY (1985). Occurrence of neuropathological changes and dementia of Alzheimer’s disease in Down’s syndrome. Annals of neurology, 17(3), 278– 282. 3158266 source
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- cites [251] Menendez M (2005). Down syndrome, Alzheimer’s disease and seizures. Brain & development, 27(4), 246– 252. 15862185 source
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PremisecitationAPOE has been associated with sex-specific alterations in CSF tau levels and disease progression but not robustly with CSF Aβ1-42.
“APOE has been associated with sex-specific alterations in CSF tau levels and disease progression but not robustly with CSF Aβ1–42”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [258] Dumitrescu L, Mayeda ER, Sharman K, Moore AM, & Hohman TJ (2019). Sex Differences in the Genetic Architecture of Alzheimer’s Disease. Current genetic medicine reports, 7(1), 13– 21. 31360619 PMC6662731 source
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PremisecitationCNVs may alter gene dosage and have a profound impact on both gene and protein function.
“CNVs may alter gene dosage and have a profound impact on both gene and protein function.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [247] Li W, & Olivier M (2013). Current analysis platforms and methods for detecting copy number variation. Physiological genomics, 45(1), 1– 16. 23132758 PMC3544484
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PremisecitationOne offspring of the affected patient inherited the PSEN1 mutation in all cells of her body and exhibited signs of dementia by age 27.
“One offspring of the affected patient inherited the PSEN1 mutation in all cells of her body and exhibited signs of dementia by age 27”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [236] Beck JA, Poulter M, Campbell TA, Uphill JB, Adamson G, Geddes JF, … Tabrizi SJ (2004). Somatic and germline mosaicism in sporadic early-onset Alzheimer’s disease. Human molecular genetics, 13(12), 1219– 1224. 15115757
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PremisecitationGene duplications of APP are well-known to cause AD, with as many as 25 duplications of variable length associated with AD in EOAD families.
“Gene duplications of APP are well-known to cause AD, with as many as 25 duplications of variable length associated with AD in EOAD families [2]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Cacace R, Sleegers K, & Van Broeckhoven C (2016). Molecular genetics of early-onset Alzheimer’s disease revisited. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 12(6), 733– 748. 27016693 source
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PremisecitationThe patient was originally classified as negative for PSEN1 mutations after peripheral blood DNA sequencing, but after DNA from the cerebral cortex, evidence of a cell-type specific mutation was observed.
“The patient was originally classified as negative for PSEN1 mutations after peripheral blood was drawn and blood DNA sequenced, but after DNA was obtained from the cerebral cortex, evidence of a cell-type specific mutation was observed.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [236] Beck JA, Poulter M, Campbell TA, Uphill JB, Adamson G, Geddes JF, … Tabrizi SJ (2004). Somatic and germline mosaicism in sporadic early-onset Alzheimer’s disease. Human molecular genetics, 13(12), 1219– 1224. 15115757
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAD is more prevalent among elderly females.
“AD is well-known to be more prevalent among elderly females”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [1] Alzheimer’s Association. (2019). 2019 Alzheimer’s disease facts and figures. Alzheimer’s & dementia: the journal of the Alzheimer’s Association, 15(3), 321– 387.
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- cites [257] Arias E, Xu J, & Kochanek KD (2019). United States Life Tables, 2016. National vital statistics reports: from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System, 68(4), 1– 66. 31112121
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PremisecitationCNVs may span multiple genes and have a measurable impact on more than one target.
“CNVs may span multiple genes and have a measurable impact on more than one target [247]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [247] Li W, & Olivier M (2013). Current analysis platforms and methods for detecting copy number variation. Physiological genomics, 45(1), 1– 16. 23132758 PMC3544484
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PremisecitationWhen transposable elements, especially retrotransposons, are activated, they mobilize through an RNA intermediate and can cause somatic mutations or large genomic rearrangements via their insertion into random segments of the genome.
“When TEs, especially retrotransposons, are activated, they mobilize through an RNA intermediate and can cause somatic mutations or large genomic rearrangements via their insertion into random segments of the genome [241, 242]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [241] Baillie JK, Barnett MW, Upton KR, Gerhardt DJ, Richmond TA, De Sapio F, … Faulkner GJ (2011). Somatic retrotransposition alters the genetic landscape of the human brain. Nature, 479(7374), 534– 537. 22037309 PMC3224101 source
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- cites [242] Upton KR, Gerhardt DJ, Jesuadian JS, Richardson SR, Sanchez-Luque FJ, Bodea GO, … Faulkner GJ (2015). Ubiquitous L1 mosaicism in hippocampal neurons. Cell, 161(2), 228– 239. 25860606 PMC4398972 source
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PremisecitationHohman et al. performed the most extensive analysis of gene-gene interactions in AD to date and identified three gene-gene combinations which significantly interact to determine an individual's risk for AD.
“Hohman et al. [268] performed the most extensive analysis of gene-gene interactions in AD to date and identified three gene-gene combinations which significantly interact to determine an individual’s risk for AD”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [268] Hohman TJ, Bush WS, Jiang L, Brown-Gentry KD, Torstenson ES, Dudek SM, … Alzheimer’s Disease Genetics, Consortium. (2016). Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium. Neurobiology of aging, 38, 141– 150. 26827652 PMC4735733 source
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PremisecitationCurrent estimates suggest only about 30-40% of the heritability of AD is explained by identified GWAS variants, leaving over 25% of the variance unexplained by known genetic factors.
“Current estimates suggest only about 30–40% of the heritability of AD is explained by identified GWAS variants, leaving over 25% of the variance unexplained by known genetic factors [76]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Ridge PG, Mukherjee S, Crane PK, Kauwe JS, & Alzheimer’s Disease Genetics, Consortium. (2013). Alzheimer’s disease: analyzing the missing heritability. PloS one, 8(11), e79771. 24244562 PMC3820606 source
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PremisecitationAn individual's genetics affects the impact of many of these risk factors on AD; for example, APOEε4 carriers with low self-reported exercise levels exhibited an increased risk for disease beyond those with either APOEε4 or low exercise alone.
“It has been shown that an individual’s genetics affects the impact of many of these risk factors on AD; for example, APOEε4 carriers with low self-reported exercise levels exhibited an increased risk for disease beyond those with either APOEε4 or low exercise alone [271]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [271] Luck T, Riedel-Heller SG, Luppa M, Wiese B, Kohler M, Jessen F, … Maier W (2014). Apolipoprotein E epsilon 4 genotype and a physically active lifestyle in late life: analysis of gene-environment interaction for the risk of dementia and Alzheimer’s disease dementia. Psychological medicine, 44(6), 1319– 1329. 23883793 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningSome of the missing heritability of AD can be attributed to low frequency variants not evaluated in the general population or to variations in the epigenetic profile of patients not captured by standard genetic evaluation.
“Some of this “missing heritability” can be attributed to low frequency variants not evaluated in the general population or to variations in the epigenetic profile of patients not captured by standard genetic evaluation”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTransplantation methods have been established to implant hematopoietic stem cells (microglia precursors) or microglia themselves directly into the brains of mouse models, where they have been shown to fully integrate and differentiate into mature microglia.
“innovative transplantation methods have been established to implant hematopoietic stem cells (microglia precursors) or microglia themselves directly into the brains of mouse models, where they have been shown to fully integrate and differentiate into mature microglia [278, 279, 283]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [278] McQuade A, Coburn M, Tu CH, Hasselmann J, Davtyan H, & Blurton-Jones M (2018). Development and validation of a simplified method to generate human microglia from pluripotent stem cells. Molecular neurodegeneration, 13(1), 67. 30577865 PMC6303871
Not checked in the free run.
- cites [279] Abud EM, Ramirez RN, Martinez ES, Healy LM, Nguyen CHH, Newman SA, … Blurton-Jones M (2017). iPSC-Derived Human Microglia-like Cells to Study Neurological Diseases. Neuron, 94(2), 278– 293 e9. 28426964 PMC5482419
Not checked in the free run.
- cites [283] Hasselmann J, Coburn MA, England W, Figueroa Velez DX, Kiani Shabestari S, Tu CH, … Blurton-Jones M (2019). Development of a Chimeric Model to Study and Manipulate Human Microglia In Vivo. Neuron, 103(6), 1016– 1033 e10. 31375314 PMC7138101
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenSeveral genes including APP, PSEN1, PSEN2, and APOE have been shown to exhibit relatively large effects on disease susceptibility, with the remaining implicated loci having a much smaller individual impact on AD risk.
“Several genes including APP, PSEN1, PSEN2, and APOE have been shown to exhibit relatively large effects on disease susceptibility, with the remaining implicated loci having a much smaller individual impact on AD risk.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
GWAS SNPs simply act as tagging variants for a given risk locus and are often not themselves the causal variants.
“GWAS SNPs simply act as tagging variants for a given risk locus and are often not themselves the causal variants.”
The paper relies on this without support.
Standard GWAS often suffer from being under-powered to identify true associations and may miss variants modifying disease risk.
“standard GWAS often suffer from being under-powered to identify true associations and as such, may miss variants modifying disease risk.”
The paper relies on this without support.
Aβ-targeting strategies have largely failed to produce disease-modifying therapeutics.
“Aβ-targeting strategies have largely failed to produce disease-modifying therapeutics”
The paper relies on this without support.
GWAS variants often fall within regions of high LD such that multiple non-causal variants are inherited together with putative causal variant(s).
“GWAS variants often fall within regions of high LD such that multiple non-causal variants are inherited together with putative causal variant(s).”
The paper relies on this without support.
The brain is the organ most affected in AD, and regulation of gene expression in this tissue is important for disease pathogenesis.
“the brain is still the organ most affected in AD, and the regulation of gene expression in this critical tissue is undoubtedly important for disease pathogenesis.”
The paper relies on this without support.
Mouse and human share strong biochemical, developmental, physiological, and genetic similarities sufficient for mouse models to inform AD research.
“Due to the strong biochemical, developmental, physiological, and genetic similarities between the mouse and human, the mouse represents an incredible resource for neuroscience research”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Having these gene mutations practically guarantees that a person will develop AD.
“According to studies, having these gene mutations practically guarantees that a person will develop the sickness [39,40,41].”
From Recent Advances in Therapeutics for the Treatment of Alzheimer’s Disease (2024) · cites this paper as [40]
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MethodDementia prevention, intervention, and care
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BackgroundSelf-citationCloning of a gene bearing missense mutations in early-onset familial Alzheimer's disease
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BackgroundInfluentialNeuropathological alterations in Alzheimer disease
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BackgroundThe neuropathological diagnosis of Alzheimer's disease
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“The larger of these, involving over 16,000 individuals, identified SNPs on chromosomes 8 and 11 as significantly associated with disease risk (Harold et al., 2009).”
BackgroundSelf-citationATAC-seq: a method for assaying chromatin accessibility genome-wide
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Method<i>TREM2</i> Variants in Alzheimer's Disease
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BackgroundPartitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604 · cited 1× · see citing works
“(Finucane et al., 2015) for partitioning the genome into functional categories based on publicly available annotation data.”
BackgroundVariant of <i>TREM2</i> Associated with the Risk of Alzheimer's Disease
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BackgroundInfluential2019 Alzheimer’s disease facts and figures.
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“Sex-specific genetic architecture AD is well-known to be more prevalent among elderly females, although it has been difficult to elucidate whether this is simply attributable to the longer lifespan of women (Alzheimer's Association, 2019; Arias et al., 2019).”
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“Interpretation of GWAS hits is made more straightforward when GWAS SNPs themselves or nearby variants in high LD are located within coding regions of the genome, although this happens relatively infrequently (Kunkle et al., 2019; Jansen et al., 2019).”
BackgroundResultInfluentialGenome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234 · cited 6× · see citing works
“CNVs have also been identified as modifying risk for LOAD; a functional CNV in the gene CR1 modifying isoform production was shown to increase risk for LOAD in two populations (Brouwers et al., 2012), among others (Swaminathan et al., 2012; Szigeti et al., 2013; Heinzen et al., 2010).”
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“The first disease-causative mutations in these genes were identified in 1995 [42, 43], although it”
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“These studies have since been expanded and many loci replicated across studies and sample sets (Naj et al., 2011; Hollingworth et al., 2011; Seshadri et al., 2010; Lambert et al., 2013), see Fig.”
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“These studies have since been expanded and many loci replicated across studies and sample sets (Naj et al., 2011; Hollingworth et al., 2011; Seshadri et al., 2010; Lambert et al., 2013), see Fig.”
BackgroundSelf-citationApolipoprotein E: Far More Than a Lipid Transport Protein
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Microglia emerge as central players in brain disease
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“beneficial functions in the brain such as clearance of cellular debris and orchestration of appropriate immune responses, their chronic activation can lead to toxic neuroinflammation and aberrant pruning of synapses [203, 204].”
A mutation in APP protects against Alzheimer’s disease and age-related cognitive decline
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“In contrast, a protective mutation in APP (A673T) identified in the Icelandic population (Jonsson et al., 2012) results in approximately a 40% reduction in the formation of amyloidogenic peptides.”
BackgroundGene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease
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“Intracellular aggregates composed of hyperphosphorylated forms of the microtubule-associated protein tau (encoded by the MAPT gene), often referred to as neurofibrillary tangles, also accumulate primarily in neurons, although they have been reported in other cell types of the brain (Braak and Braak, 1998; Arnold et al…”
BackgroundAmyloid, the presenilins and Alzheimer’s disease
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“First described by Alois Alzheimer in 1906 (Hippius and Neundorfer, 2003), AD is a neurodegenerative disease defined by the presence of extracellular plaques primarily composed of beta-amyloid (Aβ) protein, a byproduct of sequential cleavage of the amyloid precursor protein (APP) by the enzymatic complexes beta (β) an…”
BackgroundAlzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
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“clinicians to obtain accurate estimates of these features in living patients (Mueller et al., 2005), which has aided in the clinical diagnosis of AD.”
BackgroundHuman ApoE isoforms differentially regulate brain amyloid-β peptide clearance
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Self-citationGenome-wide Analysis of Genetic Loci Associated With Alzheimer Disease
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Chapter 11: Genome-wide association studies
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The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease
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“In addition, APP gene duplications that result from trisomy of chromosome 21 (Down's Syndrome) result in nearcomplete penetrance of AD neuropathology and increased incidence of dementia by age 30-40 years (Wisniewski et al., 1985; Menendez, 2005).”
BackgroundiPSC-derived human microglia-like cells to study neurological diseases
Abud, E. M., Ramirez, R. N., Martinez, E. S., Healy, L. M., Nguyen, C. H. H., Newman, S. A., Yeromin, A. V., Scarfone, V. M., Marsh, S. E., Fimbres, C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.042 · Cited by 1,154 · cited 2× · see citing works
“To this end, innovative transplantation methods have been established to implant hematopoietic precursor cells or microglia themselves directly into the brains of mouse models, where they have been shown to fully integrate and differentiate into mature microglia (McQuade et al., 2018; Abud et al., 2017; Hasselmann et…”
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Patterns of linkage disequilibrium in the human genome
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“GWAS take advantage of the linkage disequilibrium (LD) structure across the human genome, where large blocks of the genome are inherited together [77].”
BackgroundReview Article: Genetics of Alzheimer Disease
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“The first disease-causative mutations in these genes were identified in 1995 (Rogaev et al., 1995; Sherrington et al., 1995), although it wasn't until 2000 that it was discovered these proteins are critical subunits of the γ-secretase complex responsible for processing of APP (Kopan and Goate, 2000; Esler et al., 2000…”
BackgroundInfluentialClinical epidemiology of Alzheimer&rsquo;s disease: assessing sex and gender differences
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“Notable sex differences in the clinical and pathological presentation between the sexes exist, each of which have been extensively reviewed previously (Dumitrescu et al., 2019a; Mielke et al., 2014; Laws et al., 2018; Laws et al., 2016).”
BackgroundLi, Y., Willer, C., Sanna, S., & Abecasis, G. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164242 · Cited by 990 · cited 2× · see citing works
“to be captured by standard SNP genotyping or imputation using the publicly available reference resources [79].”
BackgroundMethodMurray, M. E., Graff-Radford, N. R., Ross, O. A., Petersen, R. C., Duara, R., & Dickson, D. W. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70156-9 · Cited by 972 · cited 2× · see citing works
“This has led many to attempt to identify distinct subtypes of AD (Murray et al., 2011; Petersen, 1998).”
BackgroundAlzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci
De Jager, P. L., Srivastava, G., Lunnon, K., Burgess, J., Schalkwyk, L. C., Yu, L., Eaton, M. L., Keenan, B. T., Ernst, J., McCabe, C., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3786 · Cited by 956 · cited 1× · see citing works
“gene as associated with the burden of AD pathology [198, 199].”
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Photoactivated γ-secretase inhibitors directed to the active site covalently label presenilin 1
Li, Y.-M., Xu, M., Lai, M.-T., Huang, Q., Castro, J. L., DiMuzio-Mower, J., Harrison, T., Lellis, C., Nadin, A., Neduvelil, J. G., et al. (2000) · Nature · doi:10.1038/35015085 · Cited by 866 · cited 1× · see citing works
“…et al., 1995), although it wasn't until 2000 that it was discovered these proteins are critical subunits of the γ-secretase complex responsible for processing of APP (Kopan and Goate, 2000; Esler et al., 2000; Li et al., 2000) and other membrane-bound proteins such as NOTCH (Bekris et al., 2010).”
BackgroundThe genetic landscape of Alzheimer disease: clinical implications and perspectives
Van Cauwenberghe, C., Van Broeckhoven, C., & Sleegers, K. (2016) · Genetics in Medicine · doi:10.1038/gim.2015.117 · Cited by 863 · cited 1× · see citing works
“expressed; high expression is observed in the liver, brain, and peripheral immune cells including monocytes and macrophages [55].”
BackgroundBrain cell type–specific enhancer–promoter interactome maps and disease <b>-</b> risk association
Nott, A., Holtman, I. R., Coufal, N. G., Schlachetzki, J. C. M., Yu, M., Hu, R., Han, C. Z., Pena, M., Xiao, J., Wu, Y., et al. (2019) · Science · doi:10.1126/science.aay0793 · Cited by 823 · cited 2× · see citing works
“This is supported by a recent identification of the enrichment of AD-associated variants in enhancers active in primary human microglia [192].”
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Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression
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Linkage studies in familial Alzheimer disease: evidence for chromosome 19 linkage.
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Somatic retrotransposition alters the genetic landscape of the human brain
Baillie, J. K., Barnett, M. W., Upton, K. R., Gerhardt, D. J., Richmond, T. A., De Sapio, F., Brennan, P. M., Rizzu, P., Smith, S., Fell, M., et al. (2011) · Nature · doi:10.1038/nature10531 · Cited by 684 · cited 1× · see citing works
“When TEs, especially retrotransposons, are activated, they mobilize through an RNA intermediate and can cause somatic mutations or large genomic rearrangements via their insertion into random segments of the genome (Baillie et al., 2011; Upton et al., 2015).”
BackgroundEarly Aβ accumulation and progressive synaptic loss, gliosis, and tangle formation in AD brain
Ingelsson, M., Fukumoto, H., Newell, K. L., Growdon, J. H., Hedley–Whyte, E. T., Frosch, M. P., Albert, M. S., Hyman, B. T., & Irizarry, M. C. (2004) · Neurology · doi:10.1212/01.wnl.0000115115.98960.37 · Cited by 666 · cited 1× · see citing works
“Interestingly, markers of gliosis seem to linearly increase across the course of disease despite a plateau in plaque pathology, suggesting independent mechanisms drive each cellular phenotype (Ingelsson et al., 2004).”
Sunderland, T., Linker, G., Mirza, N., Putnam, K. T., Friedman, D. L., Kimmel, L. H., Bergeson, J., Manetti, G. J., Zimmermann, M., Tang, B., et al. (2003) · JAMA · doi:10.1001/jama.289.16.2094 · Cited by 656 · cited 1× · see citing works
“Research has shown that measurements of Aβ and tau in cerebrospinal fluid (CSF) exhibit high diagnostic sensitivity, with low levels of CSF Aβ42 and high levels of total tau or phosphorylated tau (particularly p-tau181) capable of differentiating AD from mild cognitive impairment and other dementias such as frontotemp…”
BackgroundA 3D human triculture system modeling neurodegeneration and neuroinflammation in Alzheimer’s disease
Park, J., Wetzel, I., Marriott, I., Dréau, D., D’Avanzo, C., Kim, D. Y., Tanzi, R. E., & Cho, H. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0175-4 · Cited by 644 · cited 1× · see citing works
“culture [280] and the development of brain organoids is likely to greatly contribute to our understanding of how these cells contribute to disease [281].”
BackgroundStrategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers
Frisoni, G. B., Boccardi, M., Barkhof, F., Blennow, K., Cappa, S., Chiotis, K., Démonet, J.-F., Garibotto, V., Giannakopoulos, P., Gietl, A., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30159-x · Cited by 626 · see citing works
Dynamic interactions between transposable elements and their hosts
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“Under normal conditions, surveillance mechanisms including those associated with DNA repair and chromatin remodeling function to repress TE activity and largely maintain genomic stability (Levin and Moran, 2011).”
BackgroundMolecular genetics of early-onset Alzheimer’s disease revisited
Cacace, R., Sleegers, K., & Van Broeckhoven, C. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.01.012 · Cited by 617 · see citing works
Lanoiselée, H.-M., Nicolas, G., Wallon, D., Rovelet-Lecrux, A., Lacour, M., Rousseau, S., Richard, A.-C., Pasquier, F., Rollin-Sillaire, A., Martinaud, O., et al. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002270 · Cited by 616 · cited 1× · see citing works
“…in these genes are typically thought to be inherited in an autosomal dominant fashion, de novo variants in APP, PSEN1, and PSEN2 have also been identified by sequencing in sporadic cases of EOAD that occur with no family history of disease (Lanoiselee et al., 2017; Rovelet-Lecrux et al., 2015).”
BackgroundApolipoprotein E: structure determines function, from atherosclerosis to Alzheimer's disease to AIDS
Mahley, R. W., Weisgraber, K. H., & Huang, Y. (2009) · Journal of Lipid Research · doi:10.1194/jlr.r800069-jlr200 · Cited by 580 · see citing works
Defining mechanisms that regulate RNA polymerase II transcription in vivo
Fuda, N. J., Ardehali, M. B., & Lis, J. T. (2009) · Nature · doi:10.1038/nature08449 · Cited by 576 · cited 1× · see citing works
“For example, promoters proximal to the transcription start site of protein coding genes can recruit the binding of specific transcription factors, activators, or repressors (Fuda et al., 2009).”
BackgroundMethylomic profiling implicates cortical deregulation of ANK1 in Alzheimer's disease
Lunnon, K., Smith, R., Hannon, E., De Jager, P. L., Srivastava, G., Volta, M., Troakes, C., Al-Sarraj, S., Burrage, J., Macdonald, R., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3782 · Cited by 574 · cited 1× · see citing works
“, 2015), and two independent genome-wide studies recently identified a differentially methylated region in the ANK1 gene as associated with the burden of AD pathology (Lunnon et al., 2014; De Jager et al., 2014).”
Generation of beta-amyloid in the secretory pathway in neuronal and nonneuronal cells.
Busciglio, J., Gabuzda, D. H., Matsudaira, P., & Yankner, B. A. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.2092 · Cited by 569 · cited 1× · see citing works
“For example, mutations occurring near the β-secretase cleavage site, such as the Swedish mutation (K670N/ M671L), appear to result in increased production of total Aβ (Busciglio et al., 1993; Citron et al., 1994).”
BackgroundCoon, K. D., Myers, A. J., Craig, D. W., Webster, J. A., Pearson, J. V., Lince, D. H., Zismann, V. L., Beach, T. G., Leung, D., Bryden, L., et al. (2007) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v68n0419 · Cited by 569 · cited 1× · see citing works
“The first association studies covering most of the genome were published in 2007 [81, 82].”
BackgroundHopperton, K. E., Mohammad, D., Trépanier, M. O., Giuliano, V, & Bazinet, R. P. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.246 · Cited by 567 · cited 1× · see citing works
“gliosis) has been described, especially in close proximity to plaques (Beach et al., 1989; Serrano-Pozo et al., 2011; Hopperton et al., 2018) .”
BackgroundGWAS on family history of Alzheimer’s disease
Marioni, R. E., Harris, S. E., Zhang, Q., McRae, A. F., Hagenaars, S. P., Hill, W. D., Davies, G., Ritchie, C. W., Gale, C. R., Starr, J. M., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0150-6 · Cited by 564 · cited 5× · see citing works
“Together, these approaches show substantial genetic overlap with previous case-control GWAS and nominate a number of novel loci associated with proxy risk for AD (Liu et al., 2017; Jansen et al., 2019; Marioni et al., 2018).”
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Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort
Risacher, S., Saykin, A., Wes, J., Shen, L., Firpi, H., & McDonald, B. (2009) · Current Alzheimer Research · doi:10.2174/156720509788929273 · Cited by 538 · cited 1× · see citing works
“they reliably predict cognitive decline [222], are heritable [223, 224], and are readily quantifiable by magnetic resonance imaging (MRI).”
Suárez‐Calvet, M., Kleinberger, G., Araque Caballero, M. Á., Brendel, M., Rominger, A., Alcolea, D., Fortea, J., Lleó, A., Blesa, R., Gispert, J. D., et al. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201506123 · Cited by 522 · see citing works
Central Nervous System Lipoproteins: ApoE and Regulation of Cholesterol Metabolism
Mahley, R. W. (2016) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.116.307023 · Cited by 516 · cited 1× · see citing works
“Several factors implicate cholesterol metabolism in the pathogenesis of AD; a major role of APOE is to facilitate the transport of cholesterol from astrocytes to neurons in the CNS (Mahley, 2016).”
BackgroundThe discovery of Alzheimer's disease
Hippius, H., & Neundörfer, G. (2003) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2003.5.1/hhippius · Cited by 516 · cited 1× · see citing works
“First described by Alois Alzheimer in 1906 (Hippius and Neundorfer, 2003), AD is a neurodegenerative disease defined by the presence of extracellular plaques primarily composed of beta-amyloid (Aβ) protein, a byproduct of sequential cleavage of the amyloid precursor protein (APP) by the enzymatic complexes beta (β) an…”
BackgroundTransition-state analogue inhibitors of γ-secretase bind directly to presenilin-1
Esler, W. P., Kimberly, W. T., Ostaszewski, B. L., Diehl, T. S., Moore, C. L., Tsai, J.-Y., Rahmati, T., Xia, W., Selkoe, D. J., & Wolfe, M. S. (2000) · Nature Cell Biology · doi:10.1038/35017062 · Cited by 514 · see citing works
Bertram, L., Lange, C., Mullin, K., Parkinson, M., Hsiao, M., Hogan, M. F., Schjeide, B. M. M., Hooli, B., DiVito, J., Ionita, I., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.10.008 · Cited by 511 · cited 1× · see citing works
“In fact, seven of the earliest GWAS, each of which used less than 2000 cases, identified only APOE as significantly associated with AD (Feulner et al., 2010; Carrasquillo et al., 2009; Beecham et al., 2009; Bertram et al., 2008; Li et al., 2008; Abraham et al., 2008; Liu et al., 2007).”
BackgroundPolarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes
Raj, T., Rothamel, K., Mostafavi, S., Ye, C., Lee, M. N., Replogle, J. M., Feng, T., Lee, M., Asinovski, N., Frohlich, I., et al. (2014) · Science · doi:10.1126/science.1249547 · Cited by 506 · see citing works
Symptom onset in autosomal dominant Alzheimer disease: A systematic review and meta-analysis
Ryman, D. C., Acosta-Baena, N., Aisen, P. S., Bird, T., Danek, A., Fox, N. C., Goate, A., Frommelt, P., Ghetti, B., Langbaum, J. B. S., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000596 · Cited by 502 · cited 1× · see citing works
“PSEN mutations [276], suggesting additional factors such as background genetic modifiers or even non-genetic lifestyle factors play a substantial role in dictating disease risk and severity.”
Self-citationCandidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease
Li, H., Wetten, S., Li, L., St. Jean, P. L., Upmanyu, R., Surh, L., Hosford, D., Barnes, M. R., Briley, J. D., Borrie, M., et al. (2008) · Archives of Neurology · doi:10.1001/archneurol.2007.3 · Cited by 499 · cited 1× · see citing works
“In fact, seven of the earliest GWAS, each of which used less than 2000 cases, identified only APOE as significantly associated with AD (Feulner et al., 2010; Carrasquillo et al., 2009; Beecham et al., 2009; Bertram et al., 2008; Li et al., 2008; Abraham et al., 2008; Liu et al., 2007).”
BackgroundGAB2 Alleles Modify Alzheimer's Risk in APOE ɛ4 Carriers
Reiman, E. M., Webster, J. A., Myers, A. J., Hardy, J., Dunckley, T., Zismann, V. L., Joshipura, K. D., Pearson, J. V., Hu-Lince, D., Huentelman, M. J., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.022 · Cited by 487 · cited 1× · see citing works
“The first association studies covering most of the genome were published in 2007 (Coon et al., 2007; Reiman et al., 2007).”
BackgroundEvolution of neuronal changes in the course of Alzheimer’s disease
Braak, H., & Braak, E. (1998) · Journal of neural transmission. Supplementum · doi:10.1007/978-3-7091-6467-9_11 · Cited by 482 · cited 2× · see citing works
“…of hyperphosphorylated forms of the microtubule-associated protein tau (encoded by the MAPT gene), often referred to as neurofibrillary tangles, also accumulate primarily in neurons, although they have been reported in other cell types of the brain (Braak and Braak, 1998; Arnold et al., 1991).”
BackgroundThe endophenotype concept in psychiatric genetics
FLINT, J., & MUNAFÒ, M. R. (2007) · Psychological Medicine · doi:10.1017/s0033291706008750 · Cited by 477 · see citing works
Reiman, E. M., Arboleda-Velasquez, J. F., Quiroz, Y. T., Huentelman, M. J., Beach, T. G., Caselli, R. J., Chen, Y., Su, Y., Myers, A. J., Hardy, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14279-8 · Cited by 473 · see citing works
Self-citationAlzheimer’s Disease Genetics: From the Bench to the Clinic
Karch, C. M., Cruchaga, C., & Goate, A. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.041 · Cited by 473 · cited 1× · see citing works
“This approach has prioritized genes enriched for several major biological pathways including lipid metabolism, immune response, regulation of endocytosis, and protein ubiquitination, implicating these pathways in disease pathogenesis (Karch et al., 2014; Karch and Goate, 2015).”
BackgroundSelf-citationRare coding variants in the phospholipase D3 gene confer risk for Alzheimer’s disease
Cruchaga, C., Karch, C. M., Jin, S. C., Benitez, B. A., Cai, Y., Guerreiro, R., Harari, O., Norton, J., Budde, J., Bertelsen, S., et al. (2014) · Nature · doi:10.1038/nature12825 · Cited by 461 · see citing works
Self-citationEarly-Versus Late-Onset Alzheimer's Disease: More than Age Alone
Koedam, E. L. G. E., Lauffer, V., van der Vlies, A. E., van der Flier, W. M., Scheltens, P., & Pijnenburg, Y. A. L. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-1337 · Cited by 452 · cited 1× · see citing works
“While EOAD and LOAD have traditionally been considered distinct (Smits et al., 2012; Koedam et al., 2010), this review will consider the underlying genetic architecture of both forms of the disease, which in recent years has come to highlight a significant overlap between the subtypes.”
BackgroundAkbarian, S., Liu, C., Knowles, J. A., Vaccarino, F. M., Farnham, P. J., Crawford, G. E., Jaffe, A. E., Pinto, D., Dracheva, S., Geschwind, D. H., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4156 · Cited by 451 · see citing works
Practical considerations for choosing a mouse model of Alzheimer’s disease
Jankowsky, J. L., & Zheng, H. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0231-7 · Cited by 449 · cited 1× · see citing works
“Due to the strong biochemical, developmental, physiological, and genetic similarities between the mouse and human, the mouse represents an incredible resource for neuroscience research and has been used for decades to gain insight into mechanisms underlying the development of AD in vivo (Esquerda-Canals et al., 2017;…”
BackgroundMcQuade, A., Coburn, M., Tu, C. H., Hasselmann, J., Davtyan, H., & Blurton-Jones, M. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0297-x · Cited by 449 · cited 2× · see citing works
“To this end, innovative transplantation methods have been established to implant hematopoietic precursor cells or microglia themselves directly into the brains of mouse models, where they have been shown to fully integrate and differentiate into mature microglia (McQuade et al., 2018; Abud et al., 2017; Hasselmann et…”
BackgroundMethodSaykin, A. J., Shen, L., Foroud, T. M., Potkin, S. G., Swaminathan, S., Kim, S., Risacher, S. L., Nho, K., Huentelman, M. J., Craig, D. W., et al. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.03.013 · Cited by 442 · see citing works
A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
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“, 2016), while variants in the PICALM region exhibit stronger associations in APOE ε4+ subjects (Jun et al., 2010), further suggesting independent mechanisms may partially contribute to AD across APOE genotypes.”
BackgroundCommon polygenic variation enhances risk prediction for Alzheimer’s disease
Escott-Price, V., Sims, R., Bannister, C., Harold, D., Vronskaya, M., Majounie, E., Badarinarayan, N., GERAD/PERADES, consortia, I., Morgan, K., et al. (2015) · Brain · doi:10.1093/brain/awv268 · Cited by 414 · see citing works
Self-citationHeritability for Alzheimer’s disease: the study of dementia in Swedish twins
Gatz, M., Pedersen, N. L., Berg, S., Johansson, B., Johansson, K., Mortimer, J. A., Posner, S. F., Viitanen, M., Winblad, B., & Ahlbom, A. (1997) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/52a.2.m117 · Cited by 413 · cited 2× · see citing works
“Estimates of heritability for EOAD are as high as 90–100% (Wingo et al., 2012), while heritability estimates for LOAD are slightly lower, in the range of 60–80% (Gatz et al., 1997).”
BackgroundDesikan, R. S., Fan, C. C., Wang, Y., Schork, A. J., Cabral, H. J., Cupples, L. A., Thompson, W. K., Besser, L., Kukull, W. A., Holland, D., et al. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002258 · Cited by 395 · see citing works
Distinguishing Alzheimer’s disease from other major forms of dementia
Karantzoulis, S., & Galvin, J. E. (2011) · Expert Review of Neurotherapeutics · doi:10.1586/ern.11.155 · Cited by 385 · cited 1× · see citing works
“AD usually presents with deficits in short-term memory formation and disturbance of additional cognitive functions including word-finding, spatial orientation, reasoning, judgement, and problem-solving (Karantzoulis and Galvin, 2011; McKhann et al., 2011).”
BackgroundGWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer’s Disease
Cruchaga, C., Kauwe, J. S. K., Harari, O., Jin, S. C., Cai, Y., Karch, C. M., Benitez, B. A., Jeng, A. T., Skorupa, T., Carrell, D., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.026 · Cited by 383 · see citing works
Self-citationDevelopment of a Chimeric Model to Study and Manipulate Human Microglia In Vivo
Hasselmann, J., Coburn, M. A., England, W., Figueroa Velez, D. X., Kiani Shabestari, S., Tu, C. H., McQuade, A., Kolahdouzan, M., Echeverria, K., Claes, C., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.002 · Cited by 380 · cited 2× · see citing works
“…methods have been established to implant hematopoietic precursor cells or microglia themselves directly into the brains of mouse models, where they have been shown to fully integrate and differentiate into mature microglia (McQuade et al., 2018; Abud et al., 2017; Hasselmann et al., 2019).”
Potkin, S. G., Guffanti, G., Lakatos, A., Turner, J. A., Kruggel, F., Fallon, J. H., Saykin, A. J., Orro, A., Lupoli, S., Salvi, E., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006501 · Cited by 376 · cited 1× · see citing works
“…previously implicated in AD (including APOE and PICALM (Furney et al., 2011)) have been associated with imaging endophenotypes, a large number of novel loci and genes have been nominated by these analyses (Risacher et al., 2009; Furney et al., 2011; Potkin et al., 2009; Stein et al., 2010) (Fig.”
BackgroundCitron, M., Vigo-Pelfrey, C., Teplow, D. B., Miller, C., Schenk, D., Johnston, J., Winblad, B., Venizelos, N., Lannfelt, L., & Selkoe, D. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.25.11993 · Cited by 366 · see citing works
Attenuation of neuroinflammation and Alzheimer's disease pathology by liver x receptors
Zelcer, N., Khanlou, N., Clare, R., Jiang, Q., Reed-Geaghan, E. G., Landreth, G. E., Vinters, H. V., & Tontonoz, P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701096104 · Cited by 358 · see citing works
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348 · see citing works
Activation of transposable elements during aging and neuronal decline in Drosophila
Li, W., Prazak, L., Chatterjee, N., Grüninger, S., Krug, L., Theodorou, D., & Dubnau, J. (2013) · Nature Neuroscience · doi:10.1038/nn.3368 · Cited by 346 · cited 2× · see citing works
“However, with aging, the efficacy of these systems is known to be reduced, providing a genomic environment in which TEs may become activated and contribute to somatic mutagenesis (Maxwell et al., 2011; Li et al., 2013).”
BackgroundThe impact of rare and low-frequency genetic variants in common disease
Bomba, L., Walter, K., & Soranzo, N. (2017) · Genome biology · doi:10.1186/s13059-017-1212-4 · Cited by 342 · cited 1× · see citing works
“However, if variants are rare (minor allele occurs in less than 1% of the general population (Bomba et al., 2017)), they are unlikely to be captured by standard SNP genotyping or imputation using the publicly available reference resources [79].”
BackgroundSex-Specific Association of Apolipoprotein E With Cerebrospinal Fluid Levels of Tau
Hohman, T. J., Dumitrescu, L., Barnes, L. L., Thambisetty, M., Beecham, G., Kunkle, B., Gifford, K. A., Bush, W. S., Chibnik, L. B., Mukherjee, S., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0821 · Cited by 340 · cited 1× · see citing works
“Several additional loci, including APOE (Hohman et al., 2018), have been identified as exhibiting sexspecific association with AD endophenotypes, providing insight into biological mechanisms by which females may be at increased risk for AD (Dumitrescu et al.”
BackgroundSex differences in the association between AD biomarkers and cognitive decline
Initiative, F. T. A. N., Koran, M. E. I., Wagener, M., & Hohman, T. J. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9523-8 · Cited by 339 · cited 1× · see citing works
“cognitive decline in women, increased susceptibility to neuropathology such that each unit increase of AD pathology confers a 22-fold increase in risk for AD in women compared to a 3-fold increase in males, as well as important differences in clinical and pathological disease presentation [262].”
BackgroundPatterns of gliosis in alzheimer's disease and aging cerebrum
Beach, T. G., Walker, R., & McGeer, E. G. (1989) · Glia · doi:10.1002/glia.440020605 · Cited by 337 · cited 1× · see citing works
“For example, an increase in the number of reactive astrocytes and activated microglia (i.e. gliosis) has been described, especially in close proximity to plaques (Beach et al., 1989; Serrano-Pozo et al., 2011; Hopperton et al., 2018) .”
BackgroundAlzheimer’s disease: analyzing the missing heritability
Ridge, P. G., Mukherjee, S., Crane, P. K., Kauwe, J. S. K., & Alzheimer’s Disease Genetics Consortium (2013) · PLoS ONE · doi:10.1371/journal.pone.0079771 · Cited by 328 · see citing works
Loss-of-function variants in ABCA7 confer risk of Alzheimer's disease
DemGene, Steinberg, S., Stefansson, H., Jonsson, T., Johannsdottir, H., Ingason, A., Helgason, H., Sulem, P., Magnusson, O. T., Gudjonsson, S. A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3246 · Cited by 324 · see citing works
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“Given the overlap between EOAD and LOAD as discussed above, these modifiers may provide potential therapeutic targets for a more general population.”
BackgroundInfluentialSelf-citationUbiquitous L1 Mosaicism in Hippocampal Neurons
Upton, K. R., Gerhardt, D. J., Jesuadian, J. S., Richardson, S. R., Sánchez-Luque, F. J., Bodea, G. O., Ewing, A. D., Salvador-Palomeque, C., van der Knaap, M. S., Brennan, P. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.03.026 · Cited by 320 · see citing works
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“nervous system, APOEε4 has been linked to impaired Aβ clearance [71, 72], disruption of lysosomes and neuronal apoptosis [73, 74], as well as mitochondrial dysfunction [75].”
BackgroundCoding variants in TREM2 increase risk for Alzheimer's disease
Jin, S. C., Benitez, B. A., Karch, C. M., Cooper, B., Skorupa, T., Carrell, D., Norton, J. B., Hsu, S., Harari, O., Cai, Y., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu277 · Cited by 314 · see citing works
Self-citationSex differences in cognitive impairment in Alzheimer’s disease
Laws, K. R., Irvine, K., & Gale, T. M. (2016) · World Journal of Psychiatry · doi:10.5498/wjp.v6.i1.54 · Cited by 307 · cited 1× · see citing works
“Notable sex differences in the clinical and pathological presentation between the sexes exist, each of which have been extensively reviewed previously (Dumitrescu et al., 2019a; Mielke et al., 2014; Laws et al., 2018; Laws et al., 2016).”
BackgroundPottier, C., Hannequin, D., Coutant, S., Rovelet-Lecrux, A., Wallon, D., Rousseau, S., Legallic, S., Paquet, C., Bombois, S., Pariente, J., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.15 · Cited by 305 · cited 1× · see citing works
“Pottier, C., Hannequin, D., Coutant, S., Rovelet-Lecrux, A., Wallon, D., Rousseau, S., ... Phrc Gmaj Collaborators, 2012.”
A novel Alzheimer disease locus located near the gene encoding tau protein
Jun, G., Ibrahim-Verbaas, C. A., Vronskaya, M., Lambert, J.-C., Chung, J., Naj, A. C., Kunkle, B. W., Wang, L.-S., Bis, J. C., Bellenguez, C., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.23 · Cited by 297 · cited 2× · see citing works
“To test this hypothesis, researchers have re-analyzed data from the International Genomics of Alzheimer's Project (IGAP) following separation of APOE ε4+ and APOE ε4- subjects (Jun et al., 2016).”
BackgroundMethodGenetic variation in PCDH11X is associated with susceptibility to late-onset Alzheimer’s disease
Carrasquillo, M. M., Zou, F., Pankratz, V. S., Wilcox, S. L., Ma, L., Walker, L. P., Younkin, S. G., Younkin, C. S., Younkin, L. H., Bisceglio, G. D., et al. (2009) · Nature Genetics · doi:10.1038/ng.305 · Cited by 296 · cited 1× · see citing works
“In fact, seven of the earliest GWAS, each of which used less than 2000 cases, identified only APOE as significantly associated with AD (Feulner et al., 2010; Carrasquillo et al., 2009; Beecham et al., 2009; Bertram et al., 2008; Li et al., 2008; Abraham et al., 2008; Liu et al., 2007).”
BackgroundA Review of Fluid Biomarkers for Alzheimer’s Disease: Moving from CSF to Blood
Blennow, K. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0073-9 · Cited by 295 · cited 3× · see citing works
“CSF levels of APOE protein have also been suggested to act as a valuable endophenotype for AD (Cruchaga et al., 2012b), along with levels of various additional proteins, the clinical and biological relevance of which remain to be elucidated (Hampel et al., 2018; Blennow, 2017; Olsson et al., 2016).”
BackgroundYu, L., Chibnik, L. B., Srivastava, G. P., Pochet, N., Yang, J., Xu, J., Kozubek, J., Obholzer, N., Leurgans, S. E., Schneider, J. A., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.3049 · Cited by 290 · cited 1× · see citing works
“Targeted studies have revealed methylation alterations at additional loci associated with disease (Lunnon and Mill, 2013; Yu et al., 2015; Chibnik et al., 2015), and two independent genome-wide studies recently identified a differentially methylated region in the ANK1 gene as associated with the burden of AD pathology…”
BackgroundMouse models of Alzheimer’s disease
Esquerda-Canals, G., Montoliu-Gaya, L., Güell-Bosch, J., & Villegas, S. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170045 · Cited by 288 · cited 1× · see citing works
“neuroscience research and has been used for decades to gain insight into mechanisms underlying the development of AD in vivo [284, 285].”
BackgroundThe genetic architecture of Alzheimer's disease: beyond APP, PSENs and APOE
Guerreiro, R. J., Gustafson, D. R., & Hardy, J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.03.025 · Cited by 285 · cited 2× · see citing works
“Besides mutations in SORL1 described above, mutations in NOTCH3 were identified in a Turkish family with AD (Guerreiro et al., 2012b).”
BackgroundPark, J.-H., Gail, M. H., Weinberg, C. R., Carroll, R. J., Chung, C. C., Wang, Z., Chanock, S. J., Fraumeni, J. F., & Chatterjee, N. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1114759108 · Cited by 280 · see citing works
Koldamova, R. P., Lefterov, I. M., Staufenbiel, M., Wolfe, D., Huang, S., Glorioso, J. C., Walter, M., Roth, M. G., & Lazo, J. S. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m411420200 · Cited by 279 · cited 1× · see citing works
“Interestingly, several genes expressed in the liver including liver X receptors (LXRs) have been suggested as potential therapeutic targets for AD (Sodhi and Singh, 2013; Zelcer et al., 2007; Koldamova et al., 2005).”
BackgroundSuárez-Calvet, M., Araque Caballero, M. Á., Kleinberger, G., Bateman, R. J., Fagan, A. M., Morris, J. C., Levin, J., Danek, A., Ewers, M., Haass, C., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aag1767 · Cited by 272 · cited 1× · see citing works
“soluble TREM2 (sTREM2) have been shown to increase five years before symptom onset in autosomal dominant forms of AD [212].”
The <i>MS4A</i> gene cluster is a key modulator of soluble TREM2 and Alzheimer’s disease risk
Deming, Y., Filipello, F., Cignarella, F., Cantoni, C., Hsu, S., Mikesell, R., Li, Z., Del-Aguila, J. L., Dube, U., Farias, F. G., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau2291 · Cited by 271 · cited 20× · see citing works
“Common variants in the MS4A gene cluster were shown to significantly regulate sTREM2 levels in CSF (Deming et al., 2019), demonstrating regulation of this endophenotype is orchestrated by genetic variants that also modify risk for disease.”
BackgroundInfluentialAutosomal Recessive Causes Likely in Early-Onset Alzheimer Disease
Wingo, T. S. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.221 · Cited by 265 · cited 2× · see citing works
“Estimates of heritability for EOAD are as high as 90–100% (Wingo et al., 2012), while heritability estimates for LOAD are slightly lower, in the range of 60–80% (Gatz et al.”
BackgroundGenome-wide Association Study Implicates a Chromosome 12 Risk Locus for Late-Onset Alzheimer Disease
Beecham, G. W., Martin, E. R., Li, Y.-J., Slifer, M. A., Gilbert, J. R., Haines, J. L., & Pericak-Vance, M. A. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.12.008 · Cited by 260 · cited 1× · see citing works
“In fact, seven of the earliest GWAS, each of which used less than 2000 cases, identified only APOE as significantly associated with AD (Feulner et al., 2010; Carrasquillo et al., 2009; Beecham et al., 2009; Bertram et al., 2008; Li et al., 2008; Abraham et al., 2008; Liu et al., 2007).”
BackgroundTrabzuni, D., Wray, S., Vandrovcova, J., Ramasamy, A., Walker, R., Smith, C., Luk, C., Gibbs, J. R., Dillman, A., Hernandez, D. G., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds238 · Cited by 252 · cited 1× · see citing works
“Specifically, SNPs protective against AD were associated with increased expression of MAPT exon 3, which has previously been associated with decreased aggregation of tau protein (Trabzuni et al., 2012; Zhong et al., 2012) and protection from neurodegeneration (Caffrey et al.”
BackgroundGenetics of β-Amyloid Precursor Protein in Alzheimer's Disease
TCW, J., & Goate, A. M. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a024539 · Cited by 242 · cited 2× · see citing works
“Mutations in the Aβ domain itself alter the hydrophobicity and downstream aggregation propensity of Aβ peptides, leading to an increase in plaque load (TCW and Goate, 2017).”
BackgroundSelf-citationMendelian Randomization: Methods for Using Genetic Variants in Causal Estimation
Burgess, S., & Thompson, S. G. (2015) · Cited by 239 · see citing works
Case–control association mapping by proxy using family history of disease
Liu, J. Z., Erlich, Y., & Pickrell, J. K. (2017) · Nature Genetics · doi:10.1038/ng.3766 · Cited by 238 · cited 2× · see citing works
“Together, these approaches show substantial genetic overlap with previous case-control GWAS and nominate a number of novel loci associated with proxy risk for AD (Liu et al., 2017; Jansen et al., 2019; Marioni et al., 2018).”
MethodResultCorneveaux, J. J., Myers, A. J., Allen, A. N., Pruzin, J. J., Ramirez, M., Engel, A., Nalls, M. A., Chen, K., Lee, W., Chewning, K., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq221 · Cited by 237 · see citing works
Evidence for impaired amyloid β clearance in Alzheimer's disease
Wildsmith, K. R., Holley, M. M., Savage, J. C., Skerrett, R., & Landreth, G. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt187 · Cited by 235 · cited 1× · see citing works
“In the context of the central nervous system, APOE ε4 has been linked to impaired Aβ clearance (Castellano et al., 2011; Wildsmith et al., 2013), disruption of lysosomes and neuronal apoptosis (Ji et al., 2002; Ji et al., 2006), as well as mitochondrial dysfunction (Chang et al., 2005).”
BackgroundEyre‐Walker, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906182107 · Cited by 231 · cited 2× · see citing works
“Rare variants typically have a more deleterious impact on protein structure and/or function than common variants [166, 167] and thus have a larger effect on disease susceptibility than those identified by GWAS.”
(ADNI), A. D. N. I., Deming, Y., The Alzheimer Disease Genetic Consortium (ADGC), Li, Z., Kapoor, M., Harari, O., Del-Aguila, J. L., Black, K., Carrell, D., Cai, Y., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1685-y · Cited by 231 · see citing works
Self-citationBrouwers, N., Van Cauwenberghe, C., Engelborghs, S., Lambert, J.-C., Bettens, K., Le Bastard, N., Pasquier, F., Montoya, A. G., Peeters, K., Mattheijssens, M., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.24 · Cited by 227 · cited 1× · see citing works
“CNVs have also been identified as modifying risk for LOAD; a functional CNV in the gene CR1 modifying isoform production was shown to increase risk for LOAD in two populations (Brouwers et al., 2012), among others (Swaminathan et al.”
BackgroundEnhancer and promoter interactions—long distance calls
Krivega, I., & Dean, A. (2012) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2011.11.001 · Cited by 225 · cited 1× · see citing works
“As enhancers are often located at a considerable distance from their target genes, it is believed they function by recruiting specific chromatin remodeling factors that promote the formation of chromatin loops, bringing the enhancer and promoter into close proximity (Krivega and Dean, 2012).”
BackgroundClinical subtypes of Alzheimer’s disease
Petersen, R. C. (1998) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051199 · Cited by 223 · cited 2× · see citing works
“This has led many to attempt to identify distinct subtypes of AD (Murray et al., 2011; Petersen, 1998).”
Wijsman, E. M., Pankratz, N., Choi, Y., Rothstein, J. H., Faber, K. M., Cheng, R., Lee, J. H., Bird, T. D., Bennett, D. A., Diaz-Arrastia, R. R., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001308 · Cited by 223 · cited 1× · see citing works
“Likewise, familial inheritance of AD is typically associated with early-onset forms of the disease, but large families with multiple individuals affected by LOAD are prevalent (Wijsman et al., 2011; Vardarajan et al., 2014).”
BackgroundSelf-citationDysregulation of lipids in Alzheimer’s disease and their role as potential biomarkers
Wong, M. W., Braidy, N., Poljak, A., Pickford, R., Thambisetty, M., & Sachdev, P. S. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.01.008 · Cited by 223 · cited 1× · see citing works
“Lipid accumulation in AD has been under-studied relative to other pathologies, but alterations in lipid metabolism and homeostasis are now emerging as a hallmark of AD brains (Liu and Zhang, 2014; Farmer et al., 2019; Wong et al., 2017).”
BackgroundGenetic Variation and Neuroimaging Measures in Alzheimer Disease
Biffi, A. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.108 · Cited by 222 · see citing works
Lauritzen, I., Pardossi-Piquard, R., Bourgeois, A., Pagnotta, S., Biferi, M.-G., Barkats, M., Lacor, P., Klein, W., Bauer, C., & Checler, F. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1577-6 · Cited by 219 · cited 1× · see citing works
“Indeed, there is evidence that alternative APP-derived fragments as well as APP itself play important roles in the modulation of immune cell activation (Sondag and Combs, 2004), protein clearance (Lauritzen et al., 2016), and lipid homeostasis (Grimm et al., 2017).”
BackgroundA common enzyme connects Notch signaling and Alzheimer's diseasePreprint
Kopan, R., & Goate, A. (2000) · Genes & Development · doi:10.1101/gad.836900 · Cited by 217 · cited 1× · see citing works
“, 1995), although it wasn't until 2000 that it was discovered these proteins are critical subunits of the γ-secretase complex responsible for processing of APP (Kopan and Goate, 2000; Esler et al., 2000; Li et al., 2000) and other membrane-bound proteins such as NOTCH (Bekris et al.”
BackgroundSelf-citationSex differences in Alzheimer's disease
Laws, K. R., Irvine, K., & Gale, T. M. (2018) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000401 · Cited by 216 · cited 1× · see citing works
“Notable sex differences in the clinical and pathological presentation between the sexes exist, each of which have been extensively reviewed previously (Dumitrescu et al., 2019a; Mielke et al., 2014; Laws et al., 2018; Laws et al., 2016).”
BackgroundLi, Y. R., & Keating, B. J. (2014) · Genome Medicine · doi:10.1186/s13073-014-0091-5 · Cited by 214 · cited 3× · see citing works
“For example, a large transethnic GWAS utilizing samples from Caucasians, African Americans, Japanese, and IsraeliArabs identified several loci contributing to disease risk in all populations (Li and Keating, 2014).”
BackgroundCerebrospinal fluid APOE levels: an endophenotype for genetic studies for Alzheimer's disease
Cruchaga, C., Kauwe, J. S. K., Nowotny, P., Bales, K., Pickering, E. H., Mayo, K., Bertelsen, S., Hinrichs, A., Fagan, A. M., Holtzman, D. M., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds296 · Cited by 207 · cited 1× · see citing works
“CSF levels of APOE protein have also been suggested to act as a valuable endophenotype for AD [215], along with levels of various additional proteins, the clinical and biological relevance of which remain to be elucidated [216–218].”
BackgroundSelf-citationAncestral origin of ApoE ε4 Alzheimer disease risk in Puerto Rican and African American populations
Rajabli, F., Feliciano, B. E., Celis, K., Hamilton-Nelson, K. L., Whitehead, P. L., Adams, L. D., Bussies, P. L., Manrique, C. P., Rodriguez, A., Rodriguez, V., et al. (2018) · PLOS Genetics · doi:10.1371/journal.pgen.1007791 · Cited by 206 · cited 2× · see citing works
“the association between ε4 and disease is reported to be weaker among African-American and Hispanic individuals [58, 61, 62] and nonexistent among Nigerian individuals [63].”
Catarino, R. R., & Stark, A. (2018) · Genes & Development · doi:10.1101/gad.310367.117 · Cited by 205 · cited 1× · see citing works
“Enhancers are difficult to confidently identify from DNA sequence alone, but are instead defined by the presence of several functional marks including specific histone modifications that promote transcription (Catarino and Stark, 2018) and by accessibility of local chromatin.”
BackgroundNeuner, S. M., Heuer, S. E., Huentelman, M. J., O’Connell, K. M. S., & Kaczorowski, C. C. (2019) · Neuron · doi:10.1016/j.neuron.2018.11.040 · Cited by 202 · cited 3× · see citing works
“In addition, efforts to expand existing AD mouse models through the inclusion of genetic diversity (Neuner et al., 2019; Onos et al., 2019) have resulted in resources that show a more sig-”
BackgroundInfluentialBiochemical markers in persons with preclinical familial Alzheimer disease
Ringman, J. M., Younkin, S. G., Pratico, D., Seltzer, W., Cole, G. M., Geschwind, D. H., Rodriguez-Agudelo, Y., Schaffer, B., Fein, J., Sokolow, S., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000303973.71803.81 · Cited by 198 · cited 1× · see citing works
“In targeted analyses, it has been shown that genetic variants that increase risk for AD also influence CSF Aβ1–42 levels, including pathogenic mutations in APP, PSEN1, and PSEN2, as well as APOE (Ringman et al., 2008; Kauwe et al., 2009; Kauwe et al., 2007).”
BackgroundTransethnic genome‐wide scan identifies novel Alzheimer's disease loci
Jun, G. R., Chung, J., Mez, J., Barber, R., Beecham, G. W., Bennett, D. A., Buxbaum, J. D., Byrd, G. S., Carrasquillo, M. M., Crane, P. K., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.12.012 · Cited by 197 · cited 7× · see citing works
“Interestingly, the effect of APOE ε4 has been reported to differ across ethnicities (Farrer et al., 1997; Miyashita et al., 2013; Jun et al., 2017; Murrell et al., 2006), suggesting additional variants may interact with APOE to mediate its effect on AD risk.”
InfluentialSelf-citationMiyashita, A., Koike, A., Jun, G., Wang, L.-S., Takahashi, S., Matsubara, E., Kawarabayashi, T., Shoji, M., Tomita, N., Arai, H., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058618 · Cited by 196 · see citing works
A genome-wide association study for late-onset Alzheimer's disease using DNA pooling
Abraham, R., Moskvina, V., Sims, R., Hollingworth, P., Morgan, A., Georgieva, L., Dowzell, K., Cichon, S., Hillmer, A. M., O'Donovan, M. C., et al. (2008) · BMC Medical Genomics · doi:10.1186/1755-8794-1-44 · Cited by 195 · see citing works
The Alzheimer's Disease Sequencing Project: Study design and sample selection
Beecham, G. W., Bis, J. C., Martin, E. R., Choi, S.-H., DeStefano, A. L., van Duijn, C. M., Fornage, M., Gabriel, S. B., Koboldt, D. C., Larson, D. E., et al. (2017) · Neurology Genetics · doi:10.1212/nxg.0000000000000194 · Cited by 195 · cited 2× · see citing works
“Fortunately, significant resources have been directed toward this effort in large populations of AD cases and controls through initiatives such as the Alzheimer's Disease Sequencing Project (ADSP) (Beecham et al., 2017).”
BackgroundSelf-citationCoding mutations in <scp><i>SORL</i></scp><i>1</i> and <scp>A</scp>lzheimer disease
Vardarajan, B. N., Zhang, Y., Lee, J. H., Cheng, R., Bohm, C., Ghani, M., Reitz, C., Reyes‐Dumeyer, D., Shen, Y., Rogaeva, E., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24305 · Cited by 191 · see citing works
Lee, J. H., Cheng, R., Barral, S., Reitz, C., Medrano, M., Lantigua, R., Jiménez-Velazquez, I. Z., Rogaeva, E., St. George-Hyslop, P. H., & Mayeux, R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2010.292 · Cited by 190 · see citing works
Lipids in Alzheimer’s disease: A century-old story
Foley, P. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2010.05.004 · Cited by 186 · cited 1× · see citing works
“In his original report, Alois Alzheimer also described “adipose inclusions”, now recognized as likely lipid deposits, in glial cells of the brain (Foley, 2010).”
BackgroundDown syndrome, Alzheimer’s disease and seizures
Menéndez, M. (2005) · Brain and Development · doi:10.1016/j.braindev.2004.07.008 · Cited by 186 · cited 1× · see citing works
“In addition, APP gene duplications that result from trisomy of chromosome 21 (Down's Syndrome) result in nearcomplete penetrance of AD neuropathology and increased incidence of dementia by age 30-40 years (Wisniewski et al., 1985; Menendez, 2005).”
BackgroundPolygenic score prediction captures nearly all common genetic risk for Alzheimer's disease
Escott-Price, V., Shoai, M., Pither, R., Williams, J., & Hardy, J. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.07.018 · Cited by 183 · cited 2× · see citing works
“biological pathways related to the disease [123].”
MethodEarly onset Alzheimer’s disease is associated with a distinct neuropsychological profile
Smits, L. L., Pijnenburg, Y. A. L., Koedam, E. L. G. E., van der Vlies, A. E., Reuling, I. E. W., Koene, T., Teunissen, C. E., Scheltens, P., & van der Flier, W. M. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111934 · Cited by 182 · cited 1× · see citing works
“have traditionally been considered distinct [29, 30], this review will consider the underlying genetic architecture of both forms of the disease, which in recent years has come to highlight a significant overlap between the subtypes.”
Regulation and deregulation of cholesterol homeostasis: The liver as a metabolic “power station”
Trapani, L. (2012) · World Journal of Hepatology · doi:10.4254/wjh.v4.i6.184 · Cited by 178 · cited 1× · see citing works
“The identification of enrichment among “liver” datasets is particularly notable given that the liver is the principal site responsible for maintaining cholesterol homeostasis in the body (Trapani et al., 2012).”
BackgroundJi, Z.-S., Miranda, R. D., Newhouse, Y. M., Weisgraber, K. H., Huang, Y., & Mahley, R. W. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m112109200 · Cited by 177 · cited 1× · see citing works
“In the context of the central nervous system, APOE ε4 has been linked to impaired Aβ clearance (Castellano et al., 2011; Wildsmith et al., 2013), disruption of lysosomes and neuronal apoptosis (Ji et al., 2002; Ji et al., 2006), as well as mitochondrial dysfunction (Chang et al., 2005).”
BackgroundCorrelating familial Alzheimer’s disease gene mutations with clinical phenotype
Ryan, N. S., & Rossor, M. N. (2010) · Biomarkers in Medicine · doi:10.2217/bmm.09.92 · Cited by 176 · cited 1× · see citing works
“The effect of PSEN2 mutations is more variable than either PSEN1 or APP mutations, with age of onset in PSEN2 mutation carriers ranging from 40 to 85 years of age [50, 51].”
Association between genetic traits for immune-mediated diseases and Alzheimer disease
Yokoyama, J. S., Wang, Y., Schork, A. J., Thompson, W. K., Karch, C. M., Cruchaga, C., McEvoy, L. K., Witoelar, A., Chen, C.-H., Holland, D., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.0150 · Cited by 176 · see citing works
How far from the SNP may the causative genes be?
Brodie, A., Azaria, J. R., & Ofran, Y. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw500 · Cited by 172 · cited 1× · see citing works
“There has been a growing appreciation in recent years that simply assigning a GWAS-identified SNP to the nearest gene in linear genomic space may lead to false associations (Brodie et al., 2016).”
BackgroundApolipoprotein E4 Alters Astrocyte Fatty Acid Metabolism and Lipid Droplet Formation
Farmer, B., Kluemper, J., & Johnson, L. (2019) · Cells · doi:10.3390/cells8020182 · Cited by 164 · cited 1× · see citing works
“Lipid accumulation in AD has been under-studied relative to other pathologies, but alterations in lipid metabolism and homeostasis are now emerging as a hallmark of AD brains (Liu and Zhang, 2014; Farmer et al., 2019; Wong et al., 2017).”
BackgroundGene-environment interactions in Alzheimer's disease: A potential path to precision medicine
Eid, A., Mhatre, I., & Richardson, J. R. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.03.005 · Cited by 164 · cited 2× · see citing works
“across populations, including educational attainment, obesity, cholesterol levels, social isolation, alcohol consumption, and exposure to pesticides [269, 270].”
BackgroundTREM2 is associated with the risk of Alzheimer's disease in Spanish population
Benitez, B. A., Cooper, B., Pastor, P., Jin, S.-C., Lorenzo, E., Cervantes, S., & Cruchaga, C. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.12.018 · Cited by 163 · cited 1× · see citing works
“Since the identification of R47H, additional rare variants in TREM2 have been associated with AD risk (Benitez et al., 2013; Jin et al., 2014; Jin et al., 2015), highlighting the critical role of this pro-”
BackgroundThe presenilin genes: a new gene family involved in Alzheimer disease pathology
Cruts, M., Hendriks, L., & Van Broeckhoven, C. (1996) · Human Molecular Genetics · doi:10.1093/hmg/5.supplement_1.1449 · Cited by 163 · cited 1× · see citing works
“The other EOAD-causative genes are highly homologous members of the presenilin gene family (Cruts et al., 1996).”
BackgroundUnderstanding the association of apolipoprotein E4 with Alzheimer disease: clues from its structure
Zhong, N., & Weisgraber, K. H. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.r800009200 · Cited by 159 · cited 1× · see citing works
“Despite the long-standing recognition of the impact of APOEε4 on AD risk, the precise mechanism by which APOEε4 confers elevated risk for AD remains unclear [69].”
Guerreiro, R., Bilgic, B., Guven, G., Brás, J., Rohrer, J., Lohmann, E., Hanagasi, H., Gurvit, H., & Emre, M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.06.005 · Cited by 158 · cited 2× · see citing works
“Since its identification, the R47H variant has been associated not only with AD risk but also neuropathology, brain atrophy, and additional behavioral symptoms such as anxiety in AD patients (Luis et al., 2014; Deming et al., 2019; Guerreiro et al., 2013b).”
BackgroundFurney, S. J., Simmons, A., Breen, G., Pedroso, I., Lunnon, K., Proitsi, P., Hodges, A., Powell, J., Wahlund, L.-O., Kloszewska, I., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.123 · Cited by 157 · cited 8× · see citing works
“Interestingly, while several genes previously implicated in AD (including APOE and PICALM (Furney et al., 2011)) have been associated with imaging endophenotypes, a large number of novel loci and genes have been nominated by these analyses (Risacher et al., 2009; Furney et al., 2011; Potkin et al., 2009; Stein et al.,…”
BackgroundInfluentialA Genomewide Screen for Late-Onset Alzheimer Disease in a Genetically Isolated Dutch Population
Liu, F., Arias-Vásquez, A., Sleegers, K., Aulchenko, Y. S., Kayser, M., Sanchez-Juan, P., Feng, B.-J., Bertoli-Avella, A. M., van Swieten, J., Axenovich, T. I., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/518720 · Cited by 156 · cited 1× · see citing works
“In fact, seven of the earliest GWAS, each of which used less than 2000 cases, identified only APOE as significantly associated with AD (Feulner et al., 2010; Carrasquillo et al., 2009; Beecham et al., 2009; Bertram et al., 2008; Li et al., 2008; Abraham et al., 2008; Liu et al., 2007).”
BackgroundToward more predictive genetic mouse models of Alzheimer’s disease
Onos, K. D., Sukoff Rizzo, S. J., Howell, G. R., & Sasner, M. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2015.12.003 · Cited by 156 · cited 1× · see citing works
“However, traditional models created by incorporating a highly penetrant mutation in APP, PSEN1, or PSEN2 onto a single inbred background strain have largely failed to yield successful results in human clinical trials [286, 287].”
BackgroundGene-by-environment interactions in Alzheimer’s disease and Parkinson’s disease
Dunn, A. R., O’Connell, K. M. S., & Kaczorowski, C. C. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.018 · Cited by 156 · cited 1× · see citing works
“dose, timing, and duration of exposure, and/or additional confounds produced by unreported exposures [272].”
BackgroundFDG-PET as an independent biomarker for Alzheimer’s biological diagnosis: A longitudinal study
Initiative, O. B. O. A. D. N., Ou, Y.-N., Xu, W., Li, J.-Q., Guo, Y., Cui, M., Chen, K.-L., Huang, Y.-Y., Dong, Q., Tan, L., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0512-1 · Cited by 155 · see citing works
TREM2 is associated with increased risk for Alzheimer’s disease in African Americans
Jin, S. C., Carrasquillo, M. M., Benitez, B. A., Skorupa, T., Carrell, D., Patel, D., Lincoln, S., Krishnan, S., Kachadoorian, M., Reitz, C., et al. (2015) · Molecular Neurodegeneration · doi:10.1186/s13024-015-0016-9 · Cited by 153 · cited 1× · see citing works
“Since the identification of R47H, additional rare variants in TREM2 have been associated with AD risk (Benitez et al., 2013; Jin et al., 2014; Jin et al., 2015), highlighting the critical role of this protein in the etiology of AD.”
BackgroundSelf-citationHardy, J. (2017) · The FEBS Journal · doi:10.1111/febs.14004 · Cited by 153 · cited 3× · see citing works
“V717L, V717I) influence the activity of g-secretase altering APP processing so that longer Aβ peptides more prone to aggregation are generated, including species 42–43 amino acids in length (Aβ1–42 and Aβ1–43) (Hardy, 2017).”
BackgroundCombined CSF tau, p-tau181 and amyloid-β 38/40/42 for diagnosing Alzheimer’s disease
Welge, V., Fiege, O., Lewczuk, P., Mollenhauer, B., Esselmann, H., Klafki, H.-W., Wolf, S., Trenkwalder, C., Otto, M., Kornhuber, J., et al. (2009) · Journal of Neural Transmission · doi:10.1007/s00702-008-0177-6 · Cited by 152 · cited 1× · see citing works
“…levels of CSF Aβ42 and high levels of total tau or phosphorylated tau (particularly p-tau181) capable of differentiating AD from mild cognitive impairment and other dementias such as frontotemporal dementia and Lewy body dementia (Sunderland et al., 2003; Welge et al., 2009; Cruchaga et al., 2013).”
BackgroundCuyvers, E., De Roeck, A., Van den Bossche, T., Van Cauwenberghe, C., Bettens, K., Vermeulen, S., Mattheijssens, M., Peeters, K., Engelborghs, S., Vandenbulcke, M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00133-7 · Cited by 152 · see citing works
The BLUEPRINT Data Analysis Portal
Fernández, J. M., de la Torre, V., Richardson, D., Royo, R., Puiggròs, M., Moncunill, V., Fragkogianni, S., Clarke, L., Flicek, P., Rico, D., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.10.021 · Cited by 151 · see citing works
Sudom, A., Talreja, S., Danao, J., Bragg, E., Kegel, R., Min, X., Richardson, J., Zhang, Z., Sharkov, N., Marcora, E., et al. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.ra118.002352 · Cited by 149 · see citing works
Vardarajan, B. N., Ghani, M., Kahn, A., Sheikh, S., Sato, C., Barral, S., Lee, J. H., Cheng, R., Reitz, C., Lantigua, R., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24466 · Cited by 148 · cited 31× · see citing works
“Given the overlap between EOAD and LOAD as discussed above, these modifiers may provide potential therapeutic targets for a more general population.”
BackgroundInfluentialStein, J. L., Hua, X., Morra, J. H., Lee, S., Hibar, D. P., Ho, A. J., Leow, A. D., Toga, A. W., Sul, J. H., Kang, H. M., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.068 · Cited by 145 · see citing works
Ferreira, D., Perestelo‐Pérez, L., Westman, E., Wahlund, L., Sarría‐Santamera, A., & Serrano‐Aguilar, P. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00047 · Cited by 144 · cited 1× · see citing works
“For example, “core” biomarkers and endophenotypes of AD include low CSF levels of Aβ1–42, shown to indicate reduced clearance of Aβ1–42 from the brain, and elevated CSF tau (both total tau and phosphorylated tau), thought to indicate neuronal degeneration or injury (Ferreira et al., 2014).”
BackgroundApplications of Human Brain Organoids to Clinical Problems
Chen, H.-C. I., Song, H., & Ming, G. (2018) · Developmental Dynamics · doi:10.1002/dvdy.24662 · Cited by 144 · cited 1× · see citing works
“…engineered by genome editing to express disease-relevant mutations to established protocols for neuron/astrocyte co-culture (Park et al., 2018) and the development of brain organoids is likely to greatly contribute to our understanding of how these cells contribute to disease (Chen et al., 2019).”
BackgroundThe transcription factor PU.1 is critical for viability and function of human brain microglia
Smith, A. M., Gibbons, H. M., Oldfield, R. L., Bergin, P. M., Mee, E. W., Faull, R. L. M., & Dragunow, M. (2013) · Glia · doi:10.1002/glia.22486 · Cited by 141 · see citing works
Cerebrospinal fluid soluble TREM2 in aging and Alzheimer’s disease
Henjum, K., Almdahl, I. S., Årskog, V., Minthon, L., Hansson, O., Fladby, T., & Nilsson, L. N. G. (2016) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0182-1 · Cited by 141 · cited 1× · see citing works
“…(~25% of TREM2 transcripts) (Deming et al., 2019). sTREM2 is then released into the CSF where it can be measured, and has been shown to correlate with CSF levels of tau (Henjum et al., 2016; Suárez-Calvet et al., 2016), suggesting it may be a relevant secondary biomarker of disease progression.”
BackgroundWhole‐exome sequencing in 20,197 persons for rare variants in Alzheimer's disease
Raghavan, N. S., Brickman, A. M., Andrews, H., Manly, J. J., Schupf, N., Lantigua, R., Wolock, C. J., Kamalakaran, S., Petrovski, S., Tosto, G., et al. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.582 · Cited by 141 · see citing works
<i>APOE</i> ε4 is not associated with Alzheimer's disease in elderly Nigerians
Gureje, O., Ogunniyi, A., Baiyewu, O., Price, B., Unverzagt, F. W., Evans, R. M., Smith‐Gamble, V., Lane, K. A., Gao, S., Hall, K. S., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20694 · Cited by 139 · cited 1× · see citing works
“…(Miyashita et al., 2013; Jun et al., 2017), whereas the association between ε4 and disease is reported to be weaker among African-American and Hispanic individuals (Farrer et al., 1997; Murrell et al., 2006; Rajabli et al., 2018) and nonexistent among Nigerian individuals (Gureje et al., 2006).”
BackgroundCruchaga, C., Del‐Aguila, J. L., Saef, B., Black, K., Fernandez, M. V., Budde, J., Ibanez, L., Deming, Y., Kapoor, M., Tosto, G., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.08.013 · Cited by 138 · cited 28× · see citing works
“Given the overlap between EOAD and LOAD as discussed above, these modifiers may provide potential therapeutic targets for a more general population.”
BackgroundMethodInfluentialSelf-citationBiochemistry and Molecular Biology of Amyloid β‐Protein and the Mechanism of Alzheimer's Disease
(2008) · Handbook of Clinical Neurology · doi:10.1016/s0072-9752(07)01223-7 · Cited by 137 · cited 1× · see citing works
“…AD is a neurodegenerative disease defined by the presence of extracellular plaques primarily composed of beta-amyloid (Aβ) protein, a byproduct of sequential cleavage of the amyloid precursor protein (APP) by the enzymatic complexes beta (β) and gamma (γ) secretase (Selkoe, 2008; Hardy, 1997).”
Bushman, D. M., Kaeser, G. E., Siddoway, B., Westra, J. W., Rivera, R. R., Rehen, S. K., Yung, Y. C., & Chun, J. (2015) · eLife · doi:10.7554/elife.05116 · Cited by 136 · cited 2× · see citing works
“Additional somatic mutations in genes known to confer risk for AD such as APP and SORL1 (Nicolas et al., 2018) have been identified in the brains of both EOAD and LOAD patients (Bushman et al., 2015; Sala Frigerio et al., 2015).”
BackgroundDukart, J., Mueller, K., Horstmann, A., Vogt, B., Frisch, S., Barthel, H., Becker, G., Möller, H. E., Villringer, A., Sabri, O., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.017 · Cited by 134 · cited 4× · see citing works
“Notable sex differences in the clinical and pathological presentation between the sexes exist, each of which have been extensively reviewed previously (Dumitrescu et al., 2019a; Mielke et al., 2014; Laws et al., 2018; Laws et al., 2016).”
InfluentialRetrotransposition is associated with genome instability during chronological aging
Maxwell, P. H., Burhans, W. C., & Curcio, M. J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1100271108 · Cited by 132 · cited 1× · see citing works
“However, with aging, the efficacy of these systems is known to be reduced, providing a genomic environment in which TEs may become activated and contribute to somatic mutagenesis (Maxwell et al., 2011; Li et al., 2013).”
BackgroundSORL1 rare variants: a major risk factor for familial early-onset Alzheimer’s disease
Nicolas, G., Charbonnier, C., Wallon, D., Quenez, O., Bellenguez, C., Grenier-Boley, B., Rousseau, S., Richard, A.-C., Rovelet-Lecrux, A., Le Guennec, K., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.121 · Cited by 129 · cited 1× · see citing works
“Notably, an enrichment for rare disruptive and putatively damaging variants in SORL1 were also identified among EOAD cases (Pottier et al., 2012; Nicolas et al., 2016).”
BackgroundGenome-Wide Scan of Copy Number Variation in Late-Onset Alzheimer's Disease
Heinzen, E. L., Need, A. C., Hayden, K. M., Chiba‐Falek, O., Roses, A. D., Strittmatter, W. J., Burke, J. R., Hulette, C. M., Welsh-Bohmer, K. A., & Goldstein, D. B. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1212 · Cited by 129 · see citing works
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Ferroptosis Mechanisms Involved in Neurodegenerative Diseases
Reichert, C. O., de Freitas, F. A., Sampaio‐Silva, J., Rokita-Rosa, L., Barros, P. D. L., Levy, D., & Bydlowski, S. P. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228765 · Cited by 426 · see citing works
The role of innate immune genes in Alzheimer's disease
Griciuc, A., & Tanzi, R. E. (2021) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000911 · Cited by 191 · see citing works
“Autosomal dominant mutations in APP and PSEN1/2 accelerate the rate of cognitive decline leading to early-onset dementia [2,3].”
BackgroundThe foundation and architecture of precision medicine in neurology and psychiatry
Hampel, H. J., Gao, P., Cummings, J. L., Toschi, N., Thompson, P. M., Hu, Y., Cho, M., & Vergallo, A. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2022.12.004 · Cited by 151 · see citing works
“This includes monogenic forms of AD or frontotemporal dementia [27], PD and other movement disorders [28,29], ALS and other motoneuron disorders, schizophrenia”
Functional regulatory variants implicate distinct transcriptional networks in dementia
Cooper, Y. A., Teyssier, N., Dräger, N. M., Guo, Q., Davis, J. E., Sattler, S. M., Yang, Z., Patel, A. M., Wu, S. J., Kosuri, S., et al. (2022) · Science · doi:10.1126/science.abi8654 · Cited by 120 · see citing works
“Shown are the locus lead SNPs and annotated genes as described in the listed GWASs.”
BackgroundXia, D., Lianoglou, S., Sandmann, T., Calvert, M., Suh, J. H., Thomsen, E., Dugas, J., Pizzo, M. E., DeVos, S. L., Earr, T. K., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00547-7 · Cited by 124 · see citing works
Microglial efferocytosis: Diving into the Alzheimer’s disease gene pool
Romero-Molina, C., Garretti, F., Andrews, S. J., Marcora, E., & Goate, A. M. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.015 · Cited by 111 · see citing works
Self-citationDysregulation of Systemic Immunity in Aging and Dementia
Lutshumba, J., Nikolajczyk, B. S., & Bachstetter, A. D. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.652111 · Cited by 103 · see citing works
Genomics of Alzheimer’s disease implicates the innate and adaptive immune systems
Li, Y., Laws, S. M., Miles, L. A., Wiley, J. S., Huang, X., Masters, C. L., & Gu, B. J. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03986-5 · Cited by 93 · see citing works
Crist, A. M., Hinkle, K. M., Wang, X., Moloney, C. M., Matchett, B. J., Labuzan, S. A., Frankenhauser, I., Azu, N. O., Liesinger, A. M., Lesser, E. R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22399-3 · Cited by 89 · see citing works
Anderson, A. G., Rogers, B. B., Loupe, J. M., Rodriguez-Nunez, I., Roberts, S. C., White, L. M., Brazell, J. N., Bunney, W. E., Bunney, B. G., Watson, S. J., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100263 · Cited by 82 · see citing works
Walker, L. C. (2020) · Free Neuropathology · doi:10.17879/freeneuropathology-2020-3025 · Cited by 95 · see citing works
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N. S. M., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00457-0 · Cited by 79 · see citing works
“More recently, genome-wide association studies highlight that microglial genes are the main groups of risk-genes for Alzheimer’s disease [for example see [51].”
BackgroundAPOE4 confers transcriptomic and functional alterations to primary mouse microglia
Machlovi, S. I., Neuner, S. M., Hemmer, B. M., Khan, R., Liu, Y., Huang, M., Zhu, J. D., Castellano, J. M., Cai, D., Marcora, E., et al. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105615 · Cited by 73 · see citing works
“Most AD cases are classified as late-onset AD (LOAD) and have a complex genetic architecture (Neuner et al., 2020; Zhang et al., 2020).”
BackgroundSelf-citationFunctional characterization of Alzheimer’s disease genetic variants in microglia
Yang, X., Wen, J., Yang, H., Jones, I. R., Zhu, X., Liu, W., Li, B., Clelland, C. D., Luo, W., Wong, M. Y., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01506-8 · Cited by 71 · see citing works
Essayan-Perez, S., & Südhof, T. C. (2023) · Neuron · doi:10.1016/j.neuron.2023.07.005 · Cited by 65 · see citing works
Reassessment of Pioglitazone for Alzheimer’s Disease
Saunders, A. M., Burns, D. K., & Gottschalk, W. K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.666958 · Cited by 67 · see citing works
Hulse, J. P., & Bhaskar, K. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.805169 · Cited by 60 · see citing works
Genetic Approaches Using Zebrafish to Study the Microbiota–Gut–Brain Axis in Neurological Disorders
Lee, J. G., Cho, H.-J., Jeong, Y.-M., & Lee, J.-S. (2021) · Cells · doi:10.3390/cells10030566 · Cited by 55 · see citing works
“risk factors that are well known for AD include aging, some metabolic disorders, and diets [95–97], and both large-scale genome-wide associated studies (GWAS) and wholegenome sequencing of AD patients have identified more than 30 high-risk genetic loci for the disease [98].”
BackgroundGenetic Phenotypes of Alzheimer’s Disease: Mechanisms and Potential Therapy
Quan, M., Cao, S., Wang, Q., Wang, S., & Jia, J. (2023) · Phenomics · doi:10.1007/s43657-023-00098-x · Cited by 60 · see citing works
Chromosome Instability, Aging and Brain Diseases
Iourov, I. Y., Yurov, Y. B., Vorsanova, S. G., & Kutsev, S. I. (2021) · Cells · doi:10.3390/cells10051256 · Cited by 51 · see citing works
Recent Advances in Therapeutics for the Treatment of Alzheimer’s Disease
Thawabteh, A. M., Ghanem, A. W., AbuMadi, S., Thaher, D., Jaghama, W., Karaman, D., & Karaman, R. (2024) · Molecules · doi:10.3390/molecules29215131 · Cited by 56 · see citing works
Al-Kuraishy, H. M., Jabir, M. S., Albuhadily, A. K., Al-Gareeb, A. I., Jawad, S. F., Swelum, A. A., & Hadi, N. R. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102233 · Cited by 51 · see citing works
Cary, G. A., Wiley, J. C., Gockley, J., Keegan, S., Amirtha Ganesh, S. S., Heath, L., Butler, R. R., Mangravite, L. M., Logsdon, B. A., Longo, F. M., et al. (2024) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12461 · Cited by 49 · see citing works
Panyard, D. J., McKetney, J., Deming, Y. K., Morrow, A. R., Ennis, G. E., Jonaitis, E. M., Hulle, C. A. V., Yang, C., Sung, Y. J., Ali, M., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13130 · Cited by 46 · see citing works
“Measurements with the following immunoassays were performed on a cobas e 601 analyzer (Roche Diagnostics International Ltd, Rotkreuz, Switzerland): Elecsys β-amyloid (1-42) CSF (Aβ42), Elecsys Phospho-Tau (181P) CSF (phosphorylated tau [p-tau]), and Elecsys Total-Tau CSF, β-amyloid (1-40) CSF (Aβ40), and interleukin-6…”
MethodHein, Z. M., Karikalan, B., Gopalakrishna, P. K., Dhevi, K., Alkatiri, A., Hussan, F., Mohd Moklas, M. A., Jagadeesan, S., Che Ramli, M. D., Che Mohd Nassir, C. M. N., et al. (2026) · Molecular Neurobiology · doi:10.1007/s12035-025-05602-0 · Cited by 43 · see citing works
Acharya, M. R., Deo, R. C., Barua, P. D., Devi, A., & Tao, X. (2025) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2025.108652 · Cited by 46 · see citing works
Zhu, M., Jia, L., Li, F., & Jia, J. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00981 · Cited by 40 · see citing works
Factors Affecting Resilience and Prevention of Alzheimer's Disease and Related Dementias
Masurkar, A. V., Marsh, K., Morgan, B. E., Leitner, D., & Wısnıewskı, T. (2024) · Annals of Neurology · doi:10.1002/ana.27055 · Cited by 40 · see citing works
“97 The increased risk of AD in APOE ε 4 carriers varies across ethnicities, which may suggest interaction with additional risk and protective variants as well as environmental factors, with increased risk among Japanese individuals when compared to Caucasians and lower risk in African individuals.”
InfluentialMa, L., Jiang, X., Huang, Q.-Y., Chen, W., Zhang, H., Pei, H., Cao, Y., Wang, H., & Li, H. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115244 · Cited by 38 · see citing works
New Pathways Identify Novel Drug Targets for the Prevention and Treatment of Alzheimer’s Disease
Penke, B., Szűcs, M., & Bogár, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065383 · Cited by 39 · see citing works
“Both forms of AD show high heritability [24].”
BackgroundLarge-scale neurophysiology and single-cell profiling in human neuroscience
Lee, A. T., Chang, E. F., Paredes, M. F., & Nowakowski, T. J. (2024) · Nature · doi:10.1038/s41586-024-07405-0 · Cited by 33 · see citing works
“Gene-association and exome-sequencing studies have begun to identify the genetic risk architecture of diseases such as motor neuron disease 66 , neurodegenerative diseases 67,68 , epilepsy 69,70 , autism spectrum and neurodevelopmental disorders 71,72 , and schizophrenia 73,74 .”
Alzheimer's disease – Where do we go from here?
Борисович, Б. И. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.08.075 · Cited by 34 · see citing works
On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
Hernández‐Lorenzo, L., Hoffmann, M., Scheibling, E., List, M., Matías‐Guiu, J. A., & Ayala, J. L. (2022) · Scientific Reports · doi:10.1038/s41598-022-21491-y · Cited by 31 · see citing works
“APOE is a major genetic risk for AD 19 , as several variants have been implicated in increased amyloid-beta deposition 34 .”
BackgroundCardillo, M., Katam, K., & Suravajhala, P. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1591796 · Cited by 27 · see citing works
Maurya, S. K., Gupta, S., & Mishra, R. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.1072046 · Cited by 26 · see citing works
Epigenetic biomarkers in Alzheimer's disease: Diagnostic and prognostic relevance
Behl, T., Kyada, A., Roopashree, R., Nathiya, D., Arya, R., Kumar, M., Khalid, M., Gulati, M., Sachdeva, M., Fareed, M., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102556 · Cited by 25 · see citing works
Nicotinic acetylcholine receptors: Key targets for attenuating neurodegenerative diseases
Bye, L. J., Finol‐Urdaneta, R. K., Tae, H., & Adams, D. J. (2023) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2023.106387 · Cited by 28 · see citing works
Lavekar, S. S., Harkin, J., Hernandez, M., Gomes, C., Patil, S., Huang, K.-C., Puntambekar, S. S., Lamb, B. T., & Meyer, J. S. (2023) · Scientific Reports · doi:10.1038/s41598-023-40382-4 · Cited by 24 · see citing works
Neuronal VPS35 deletion induces spinal cord motor neuron degeneration and early post-natal lethality
Sargent, D., Cunningham, L. A., Dues, D. J., Ma, Y., Kordich, J. J., Mercado, G., Brundin, P., Cowell, R. M., & Moore, D. J. (2021) · Brain Communications · doi:10.1093/braincomms/fcab208 · Cited by 21 · see citing works
Genetic associations with age at dementia onset in the <i>PSEN1 E280A</i> Colombian kindred
Cochran, J. N., Acosta‐Uribe, J., Esposito, B. T., Madrigal, L., Aguillón, D., Giraldo, M. M., Taylor, J. W., Bradley, J., Fulton‐Howard, B., Andrews, S. J., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13021 · Cited by 21 · see citing works
Self-citationPotential common pathogenesis of several neurodegenerative diseases
Fan, T., Peng, J., Liang, H., Chen, W., Wang, J., & Xu, R. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-01054 · Cited by 29 · see citing works
“For example, the amyloid precursor protein ( APP ) (Orobets and Karamyshev, 2023) and presenilin genes ( PSEN1 and PSEN2 ) (Lanoiselée et al., 2017; Neuner et al., 2020; Andrade-Guerrero et al., 2023) are linked to AD, while mutations in SNCA (Stefanis, 2012), Parkin 2 (von Coelln et al., 2004),…”
Jung, J., McCartney, D. L., Wagner, J., Rosoff, D. B., Schwandt, M. L., Sun, H., Wiers, C. E., de Carvalho, L. M., Volkow, N. D., Walker, R. M., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01624-5 · Cited by 21 · see citing works
Genetic diversity promotes resilience in a mouse model of Alzheimer's disease
Soni, N., Hohsfield, L. A., Tran, K. M., Kawauchi, S., Walker, A., Javonillo, D. I., Phan, J., Matheos, D. P., Cunha, C. D., Uyar, A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13753 · Cited by 17 · see citing works
“19 Historically, most transgenic AD mouse models have introduced FAD mutations into the genetic background of a single inbred strain, for example, C57BL/6J (B6J), or into hybrid backgrounds, for example, two strains such as B6J and SJL. 20 Such mouse strains have limited genetic variation and fail…”
BackgroundHuq, A. J., Fulton‐Howard, B., Riaz, M., Laws, S., Sebra, R., Ryan, J., Alzheimer's Disease Genetics Consortium, Renton, A. E., Goate, A. M., Masters, C. L., et al. (2021) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12226 · Cited by 17 · see citing works
Self-citationLutz, M. W., & Chiba‐Falek, O. (2022) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12244 · Cited by 16 · see citing works
Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models
Gurdon, B., & Kaczorowski, C. C. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105558 · Cited by 16 · see citing works
Wang, K., Xu, C. D., Smith, A., Xiao, D., Navia, R. O., Lu, Y., Xie, C., & Piamjariyakul, U. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110393 · Cited by 15 · see citing works
Systems Biology to Address Unmet Medical Needs in Neurological Disorders
Savelieff, M. G., Noureldein, M. H., & Feldman, E. L. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2265-0_13 · Cited by 14 · see citing works
Huang, Y.-H., Chen, Y., Ho, W.-M., Lee, R.-G., Chung, R., Liu, Y., Chang, P.-Y., Chang, S., Wang, C.-W., Chung, W., et al. (2023) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2023.10.021 · Cited by 14 · see citing works
Alzheimer’s disease basics: we all should know
Das, S. K. (2025) · Neurological Research · doi:10.1080/01616412.2025.2529560 · Cited by 19 · see citing works
“The results here offer a potential mechanism by which exon 3 exclusion and control of MAPT splicing, irrespective of APOE-4 genotype, may induce AD [263].”
Genomic Insights into Dementia: Precision Medicine and the Impact of Gene-Environment Interaction
Tripathi, A., Pandey, V. K., Sharma, G., Sharma, A. R., Taufeeq, A., Jha, A. K., & Kim, J. (2024) · Aging and Disease · doi:10.14336/ad.2024.0322 · Cited by 13 · see citing works
The relationship of early- and late-onset Alzheimer’s disease genes with COVID-19
Şirin, S., Dolanbay, S. N., & Aslım, B. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02499-0 · Cited by 13 · see citing works
“New genes or loci have been revealed for late-onset Alzheimer’s disease by recently reported comprehensive genome-wide association trials, including ABI family member 3 (ABI3), ADAM metallopeptidase domain 10 (ADAM10), Bridging integrator 1 (BIN1), Cas scaffold protein family member 4 (CASS4), CD2 associated protein (…”
BackgroundD’Oliveira Albanus, R., Finan, G. M., Brase, L., Sweeney, N., Kim, T. Y., Chen, S., Ryoo, Y., Park, J., Guo, Q., Iyer, A. K., et al. (2025) · Science Translational Medicine · doi:10.1126/scitranslmed.adx0027 · Cited by 16 · see citing works
Conformational Models of APP Processing by Gamma Secretase Based on Analysis of Pathogenic Mutations
Kim, M., & Борисович, Б. И. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413600 · Cited by 12 · see citing works
“There is a number of AD-causing mutations in APP sequence, most of them located within APP transmembrane domain (Fig 1A) [22-25].”
BackgroundBarthelson, K., Pederson, S., Newman, M., Jiang, H., & Lardelli, M. T. (2021) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200279 · Cited by 11 · see citing works
Molecular neuroimaging in dominantly inherited versus sporadic early-onset Alzheimer’s disease
Iaccarino, L., Llibre‐Guerra, J. J., McDade, E., Edwards, L., Gordon, B. A., Benzinger, T. L. S., Hassenstab, J. J., Kramer, J. H., Li, Y., Miller, B. L., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae159 · Cited by 10 · see citing works
Xi, M., Feng, C., Du, K., et al. (2022) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2022.128602 · Cited by 10 · see citing works
Non-human Primate Models of Alzheimer’s Disease
Li, Y., & Gu, B. J. (2023) · Journal of Exploratory Research in Pharmacology · doi:10.14218/jerp.2023.00006 · Cited by 8 · see citing works
Retinotopic degeneration of the retina and optic tracts in autosomal dominant Alzheimer's disease
Adhikari, S., Qiao, Y., Singer, M., Sagare, A. P., Jiang, X., Shi, Y., Ringman, J. M., & Kashani, A. H. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13100 · Cited by 9 · see citing works
“16 In 17–19 Although there are differences, 20,21 the clinical and pathological phenotype of ADAD is similar to LOAD.”
BackgroundLiver-Specific Polygenic Risk Score Is Associated with Alzheimer’s Disease Diagnosis
Panyard, D. J., Deming, Y. K., Darst, B. F., Hulle, C. A. V., Zetterberg, H., Blennow, K., Kollmorgen, G., Suridjan, I., Carlsson, C. M., Johnson, S. C., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-220599 · Cited by 10 · see citing works
“The importance of amyloid-(cid:2) (A (cid:2) ), long known to aggregate and subsequently accumulate in plaques in the brain, has been underscored by the knowledge that familial AD can be driven by genetic mutations in genes directly impacting A (cid:2) processing, like APP , PSEN1 , and PSEN2 [6].”
FISHing for Chromosome Instability and Aneuploidy in the Alzheimer’s Disease Brain
Yurov, Y. B., Vorsanova, S. G., & Iourov, I. Y. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2655-9_10 · Cited by 8 · see citing works
Hermes, S., Cady, J., Armentrout, S. L., O’Connor, J., Holdaway, S. C., Cruchaga, C., Wingo, T. S., Greytak, E. M., & Initiative, T. A. D. N. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230236 · Cited by 8 · see citing works
“4 allele and ∼ 3 fold for those with 1 copy [5]; however, it only accounts for ∼ 9.3% of phenotypic variance [6].”
InfluentialHe, Z., Jiang, B., Sun, X., et al. (2023) · Chemistry & Biodiversity · doi:10.1002/cbdv.202301271 · Cited by 7 · see citing works
Manzali, S., Yu, E., Ravona‐Springer, R., Livny, A., Golan, S., Ouyang, Y., Lesman‐Segev, O. H., Liu, L., Ganmore, I., Alkelai, A., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.853695 · Cited by 6 · see citing works
Frederiksen, S., Wicki‐Stordeur, L. E., & Swayne, L. A. (2023) · Channels · doi:10.1080/19336950.2023.2253102 · Cited by 10 · see citing works
Albanus, R. D., Finan, G. M., Brase, L., Chen, S., Guo, Q., Kannan, A., Acquarone, M., You, S.-F., Novotny, B., Pereira, P. M. R., et al. (2023) · bioRxiv · doi:10.1101/2022.11.11.516215 · Cited by 9 · see citing works
“342 Consistent with the well-established roles of PSEN1 and APP in AD onset (34), the PSEN1 and 343 APP co-expression sub-networks were among the most positively correlated with high Braak 344 stage (betas = 0.”
Mazzoli, R., Chiari, A., Vitolo, M., Garuti, C., Adani, G., Vinceti, G., Zamboni, G., Tondelli, M., Galli, C., Costa, M., et al. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21060688 · Cited by 6 · see citing works
“Familial AD has been associated with autosomal dominant mutations of APP , PSEN1 , and PSEN2 , while more than 550 genes have been implicated in AD risk modulation [14], with the APOE ε 4 allele being a major genetic risk factor [15–17].”
BackgroundGenetic-based patient stratification in Alzheimer’s disease
Hernández-Lorenzo, L., García‐Gutiérrez, F., Solbas-Casajús, A., Corrochano, S., Matías‐Guiu, J. A., & Ayala, J. L. (2024) · Scientific Reports · doi:10.1038/s41598-024-60707-1 · Cited by 7 · see citing works
“Thus, in addition to tau gene alterations, this cluster showed a higher risk of developing dementia and amyloid formation 38 .”
BackgroundInfluentialMiao, Y., Cui, L., Li, J., Chen, Y., Xie, X., & Guo, Q. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220374 · Cited by 6 · see citing works
“The main factor contributing to AD susceptibility in APOE (cid:2) 4 carriers is their interaction with environmental factors, which means that APOE (cid:2) 4 carriers are more susceptible to the deleterious effects of environmental risk factors [22–24].”
Moon, H., Mahzarnia, A., Stout, J. A., Anderson, R. J., Strain, M., Tremblay, J. T., Han, Z., Niculescu, A., MacFarlane, A., King, J., et al. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02731-x · Cited by 5 · see citing works
“Moreover, several genes, such as Pex1, Myo1e, and Arg1, exhibited differential expression with aging, with roles in protein import into peroxisomes, intracellular movement, and immune responses, respectively (Karch and Goate 2015; Neuner et al. 2020; Romero-Molina et al. 2022).”
Almkvist, O., & Nordberg, A. K. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01231-8 · Cited by 5 · see citing works
“The mechanisms involved in disease development in these individuals could involve gene–gene or gene-environment interactions, comorbidity, lifestyle choices, resilience, or compensation [1, 4].”
BackgroundSalminen, A. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106115 · Cited by 5 · see citing works
Chandy, T. (2023) · Dementia & Neuropsychologia · doi:10.1590/1980-5764-dn-2022-0025 · Cited by 4 · see citing works
Neuropsychiatric Profiles and Cerebral Amyloid Burden in Adults without Dementia
Gontrum, E. Q., Paolillo, E. W., Lee, S. Y., Diaz, V., Ehrenberg, A. J., Saloner, R., Mundada, N. S., Joie, R. L., Rabinovici, G. D., Kramer, J. H., et al. (2024) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000538376 · Cited by 5 · see citing works
“…variants associated with mechanisms that contribute to more intense NPS burden (i.e., variants that contribute to tau-mediated disruption of frontal serotonergic and dopaminergic networks and prefrontal atrophy, for example.) is relevant, this was similarly outside the scope of this study [46, 49].”
ResultO’Connor, A., Abel, E., Fraser, M. R., Ryan, N. S., Jiménez, D., Koriath, C., Chávez‐Gutiérrez, L., Ansorge, O., Mummery, C. J., Lashley, T., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.01.032 · Cited by 4 · see citing works
Wiltfang, J., Esselmann, H., & Barnikol, U. B. (2021) · Psychiatrische Praxis · doi:10.1055/a-1369-3133 · Cited by 5 · see citing works
“Durch funktionelle Analyse von Stoffwechselwegen („functional pathway analysis“) mittels Risikogencluster aus GWAS und Next-generation Sequencing (NGS)-Studien [14] ergeben sich bei AD Hinweise auf sehr heterogene molekulare Pathomechanismen, was molekulare Subphänotypen der AD wahrscheinlich macht, die ggf.”
BackgroundGenetic overlap between major depression, bipolar disorder and Alzheimer’s DiseasePreprint
Santos, F. C. D., Mendes‐Silva, A. P., Nikolova, Y. S., Sibille, E. L., & Diniz, B. S. (2021) · medRxiv · doi:10.1101/2021.05.01.21256220 · Cited by 3 · see citing works
de Sousa, D. S., da Silva, M. V. F., da Fonseca, A. M., Paiva, M. M. P. C., Salmito‐Vanderley, C. S. B., & Marinho, G. S. (2025) · Steroids · doi:10.1016/j.steroids.2025.109705 · Cited by 3 · see citing works
Waqar, Z., Sethi, P., Jain, D., Singh, K., Alsaidan, O. A., Alzarea, S. I., Gupta, J. K., Saxena, S., & Sharma, M. C. (2025) · Current Genomics · doi:10.2174/0113892029372437251010114053 · Cited by 6 · see citing works
“ApoE-476 ε4 has modest penetrance but a strong association with typical late-onset forms of the disease [120].”
Hovhannisyan, Y., Yeritsyan, H., Hakobjanyan, G., Petrosyan, G., Harutyunyan, H. A., Muradyan, A. A., Azizian, A., & Yenkoyan, K. B. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146965 · Cited by 3 · see citing works
“Alzheimer’s disease (AD), the most common cause of dementia [2], typically presents in older adults, but early-onset AD (EOAD)—occurring before age 65— represents a rarer form (~2% of AD cases), primarily affecting younger individuals.”
Belapurkar, V., Swamy, H. S. M., Singh, N., Kedia, S., Setty, S. R. G., Jose, M., & Nair, D. K. (2023) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-023-04939-w · Cited by 3 · see citing works
“It is now considered as a multifactorial disease, with combined risk of genetic and sporadic factors, affecting the pathological progression of the disease [5, 38].”
BackgroundTalemi, M. D., Tapak, L., Haghi, A. R., Ahghari, P., Moradi, S., & Afshar, S. (2023) · Avicenna Journal of Medical Biochemistry · doi:10.34172/ajmb.2475 · Cited by 3 · see citing works
Cognitive Impairment in the Primary Care Clinic
Womack, C. L., Perkins, A., & Arnold, J. M. (2024) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2024.02.010 · Cited by 3 · see citing works
Functional Genomics and Human Diseases
Banerjee, S., Banerjee, J., & Tiwari, A. K. (2024) · Springer eBooks · doi:10.1007/978-981-97-3169-5_7 · Cited by 4 · see citing works
Frederiksen, S., Wicki‐Stordeur, L. E., & Swayne, L. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/801563 · Cited by 3 · see citing works
Crist, A. M., Hinkle, K. M., Wang, X., Moloney, C. M., Matchett, B. J., Labuzan, S. A., Frankenhauser, I., Azu, N. O., Liesinger, A. M., Lesser, E. R., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.18.423469 · Cited by 3 · see citing works
Fibrillar Aβ causes profound microglial metabolic perturbations in a novel APP knock-in mouse modelPreprint
Xia, D., Lianoglou, S., Sandmann, T., Calvert, M., Suh, J. H., Thomsen, E. R., Dugas, J. C., Pizzo, M. E., DeVos, S. L., Earr, T., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.19.426731 · Cited by 5 · see citing works
Hermes, S., Cady, J., Armentrout, S. L., O’Connor, J., Carlson, S. E., Cruchaga, C., Wingo, T. S., Greytak, E. M., & Initiative, T. A. D. N. (2023) · medRxiv · doi:10.1101/2023.02.10.23285766 · Cited by 3 · see citing works
“The strongest risk factor for LOAD, the Apolipoprotein E ( APOE ) " 4 allele, increases risk of developing LOAD ⇡ 15 fold for those with two copies of the " 4 allele and ⇡ 3 fold for those with one copy [5]; however, it only accounts for ⇡ 6 % of phenotypic variance [6].”
Relationship periodontitis and Alzheimer's disease: Relevant aspects from an epigenetic view
Chacón, T., & Hernández, H. G. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251397406 · Cited by 2 · see citing works
“104,105 These molecular and cellular alterations drive neurodegeneration that is characterized by synaptic and neuronal loss.”
Wu, Y., Zhang, H., Qu, J., Zhu, R., Xu, G., Xu, W., Yan, G., Yang, J., Xin, J., Li, Y., et al. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.111737 · Cited by 2 · see citing works
Multilayer Analysis of RNA Sequencing Data in Alzheimer’s Disease to Unravel Molecular Mysteries
Uzuner, D., İlgün, A., Düz, E., Bozkurt, F. B., & Çakır, T. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-69188-1_9 · Cited by 2 · see citing works
Rostagno, A. A., & Ghiso, J. A. (2025) · Antioxidants · doi:10.3390/antiox14070812 · Cited by 2 · see citing works
“Only a small percentage of AD cases are associated with dominant genetic mutations in the amyloid precursor protein (APP) and the presenilin (PSEN) genes, while the vast majority of the cases are sporadic in nature and have no single genetic cause [2,3].”
Structural analysis on mutations related to Alzheimer’s disease
Avramouli, A., Polychronidou, E., & Vlamos, P. (2022) · EMBnet journal · doi:10.14806/ej.27.0.1011
“Interestingly SNPs in exon 3 act protectively against AD through decreased aggregation of tau protein (Neuner et al., 2020).”
BackgroundInfluentialGenetic Associations with Age at Dementia Onset in the PSEN1 E280A Colombian KindredPreprint
Cochran, J. N., Acosta‐Uribe, J., Esposito, B. T., et al. (2020) · medRxiv · doi:10.1101/2020.09.23.20198424 · Cited by 2 · see citing works
Self-citationPanyard, D. J., McKetney, J., Deming, Y. K., Morrow, A. R., Ennis, G. E., Jonaitis, E. M., Hulle, C. A. V., Yang, C., Sung, Y. J., Ali, M., et al. (2021) · medRxiv · doi:10.1101/2021.09.02.21262642 · Cited by 2 · see citing works
“Genomics research has highlighted a number of important loci, from the role of mutations in APP , PSEN1 , and PSEN2 in early-onset familial AD 13 to late-onset AD genetic risk factors like APOE , CR1 , and ABCA7 14 – 16 .”
Rosene, M. J., Hsu, S., You, S. F., Brase, L., Verbeck, A. C., Martinez, R. J., Wallace, C. E., Li, Z., Yan, P., Dräger, N. M., et al. (2022) · medRxiv · doi:10.1101/2022.01.31.22270175 · Cited by 2 · see citing works
“Large-scale genomic 75 studies have led to the identification of novel genes and risk loci that contribute to AD [2, 3].”
Self-citationPeyvand, P., Allami, P., & Rezaei, N. (2025) · Reviews in the Neurosciences · doi:10.1515/revneuro-2025-0025 · Cited by 1 · see citing works
Zhang, X., Wijenayake, S., Hossain, S., et al. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1617611 · Cited by 1 · see citing works
Mapping cross‐domain drivers of Alzheimer's disease risk through integrated network analysis
Cary, G. A., Keegan, S., Wiley, J. C., Gockley, J., Butler, R. R., Longo, F. M., Levey, A. I., Greenwood, A. K., Leal, K., & Carter, G. W. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71564 · Cited by 1 · see citing works
“The set of AD genome-wide association studies (GWAS) genes ( N = 123) was derived by taking the union of lists from three sources: the supplementary table that accompanies Neuner et al 22 ( N = 71), Table S5 from Bellenguez et al 1 that identifies all genome-wide signifi-cantloci( N = 77),andthelistofADlociwithgenetic…”
Comparison of Ensemble Techniques for Early Prediction of Alzhiemer DiseasePreprint
Orochi, O. P., & Onuodu, F. E. (2024) · Research Square · doi:10.21203/rs.3.rs-5644910/v1 · Cited by 1 · see citing works
- Authors
- Neuner, S. M., TCW, J., & Goate, A. M.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Goate, Alison M.
- Venue
- Neurobiology of Disease
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 143
- Pages
- 104976
- ISSN
- 0969-9961 (ISSN-L)
- PMC
- PMC7409822
- OpenAlex
- W3036672623
- Semantic Scholar
- e8cdbd032f24aa8300cd48223447f05ebe6d8746
- Cited by
- 126
- References
- 294
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 21 · 2023: 24 · 2022: 21 · 2021: 27 · 2020: 4 · 2019: 1
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Neurobiology of Disease (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- JPB Foundation
- National Institute on Aging (U01AG058635, U01AG052411, K01AG062683)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, genetic architecture, genetic susceptibility, APP, presenilin 1, presenilin 2, apolipoprotein E, genetic susceptibility loci, regulatory elements, myeloid cells, hepatocytes, cell type enrichment, gene-environment interaction, sex differences, ethnicity, therapeutic target
- MeSH terms
- Alzheimer Disease, Humans, Genetic Predisposition to Disease
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