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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.
Overview
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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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In the paper
“common polymorphisms in the gene apolipoprotein E (APOE) are the most significant genetic risk factor for AD [52–54].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [53] Roses AD, & Saunders AM (1994). APOE is a major susceptibility gene for Alzheimer’s disease. Current opinion in biotechnology, 5(6), 663– 667. 7765750 source
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“the effect of APOEε4 has been reported to differ across ethnicities [58–61]”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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 yetcites [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 source
- Not checked yetcites [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 source
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“A majority of ADAD families carry a pathogenic mutation in one of three genes: APP, presenilin 1 (PSEN1), or presenilin 2 (PSEN2) [2, 33].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“PSEN2 mutations are much rarer, with only around 30 mutations identified in ADAD families [2].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“To date, more than 50 highly penetrant mutations have been identified in APP [2].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Mutations in the Aβ domain itself alter the hydrophobicity and downstream aggregation propensity of Aβ peptides, leading to an increase in plaque load [36].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Estimates of heritability for EOAD are as high as 90–100% [24]”
§ Genetic architecture of Alzheimer’s disease > Introduction to Alzheimer’s disease
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [48] Mehta ND, Refolo LM, Eckman C, Sanders S, Yager D, Perez-Tur J, … Hutton M (1998). Increased Abeta42(43) from cell lines expressing presenilin 1 mutations. Annals of neurology, 43(2), 256– 258. 9485068 source
- Not checked yetcites [49] Cacquevel M, Aeschbach L, Houacine J, & Fraering PC (2012). Alzheimer’s disease-linked mutations in presenilin-1 result in a drastic loss of activity in purified gamma-secretase complexes. PloS one, 7(4), e35133. 22529981 PMC3329438 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“heritability estimates for LOAD are slightly lower, in the range of 60–80% [25]”
§ Genetic architecture of Alzheimer’s disease > Introduction to Alzheimer’s disease
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [35] Citron M, Vigo-Pelfrey C, Teplow DB, Miller C, Schenk D, Johnston J, … Selkoe DJ (1994). Excessive production of amyloid beta-protein by peripheral cells of symptomatic and presymptomatic patients carrying the Swedish familial Alzheimer disease mutation. Proceedings of the National Academy of Sciences of the United States of America, 91(25), 11993– 11997. 7991571 PMC45362 source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- It may state two separate claims as one. 73
- Probably not a substantial claim. 30
- The quote only partly states this claim. 2
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“APOEε4 is less frequent (~14%) among the general population but drastically increases risk for AD in a dose-dependent manner [54, 57]”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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 yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“the two subsets share common pathological features and are both considered to be highly heritable.”
§ Genetic architecture of Alzheimer’s disease > Introduction to Alzheimer’s disease
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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In the paper
“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).”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“ADAD is very rare, accounting for less than <1% of all cases of AD [2, 31–33]”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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 yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Of the three alleles, APOEε3 is the most common in all human populations, present in almost 80% of individuals [57].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Monogenic causes of AD
What the sources say
- Not checked yetcites [39] Hardy JA, & Higgins GA (1992). Alzheimer’s disease: the amyloid cascade hypothesis. Science, 256(5054), 184– 185. 1566067
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Variations on traditional GWAS
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > APOE as a major genetic risk factor for AD
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“this GWAS identified novel variants not previously associated with the disease by standard GWAS, including variants near IQCK [97].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe quote only partly states this claim.
None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Variations on traditional GWAS
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In 2009, the first large-scale GWAS were published and loci outside of APOE were implicated in LOAD risk for the first time.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Variations on traditional GWAS
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
Tests✗ Asserted: fails✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. The authors may not put it forward as true. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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).”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Genome-wide association studies (GWAS)
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Variations on traditional GWAS
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“These “polygenic risk scores” (PRS) have since been expanded upon in the context of AD and used for individualized risk prediction [118]”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Variations on traditional GWAS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“and decreases the stability of the protein, potentially conferring reduced functionality [136].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [145] Lord J, Lu AJ, & Cruchaga C (2014). Identification of rare variants in Alzheimer’s disease. Frontiers in genetics, 5, 369. 25389433 PMC4211559
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“PLGC2, which harbors a protective variant, encodes a transmembrane signaling enzyme implicated in lipid metabolism, calcium homeostasis, and immune response [130, 142].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Polygenic risk scores
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Given the overlap between EOAD and LOAD as discussed above, these modifiers may provide potential therapeutic targets for a more general population.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
In the paper
“A variety of assays now exist to capture this three-dimensional architecture, including various adaptations of chromosome conformation capture (3C) [179].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetics of AD > Rare variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Enhancers, short genomic sequences distally located from their target genes, confer additional cell- and tissue-type specificity to the regulation of gene expression.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The GWAS discussed above were primarily performed on case/control datasets and provide information regarding the genetic architecture of disease risk.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The identification of enrichment among “liver” datasets is particularly notable given that the liver is the principal site responsible for maintaining”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It should be noted that most of the currently available functional annotation data is derived from healthy donors.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
What the sources say
- Not checked yetcites [203] Salter MW, & Stevens B (2017). Microglia emerge as central players in brain disease. Nature medicine, 23(9), 1018– 1027. 28886007 source
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Understanding the regulatory function of non-coding risk variants
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“These associations were observed whether APOE was included or not, confirming the enrichment was not driven by a single moderate-effect variant [183].”
§ Genetic architecture of Alzheimer’s disease > Functional genomic architecture > Cell-type specificity of AD risk
What the sources say
- Not checked yetcites [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
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Notably, several of these novel variants, including those near GLIS1 and within SERPINB1, were associated with additional aspects of disease including risk, age at”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, this approach greatly facilitates interpretation of the downstream functional consequences of the prioritized loci.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
None of the sources cited for this claim have been checked yet.
In the paper
“along with levels of various additional proteins, the clinical and biological relevance of which remain to be elucidated [216–218].”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
- Not checked yetcites [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
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As the quantitative nature of endophenotypes results in improved phenotype definition beyond traditional case-control analyses”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“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].”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD endophenotypes
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Sex-specific genetic architecture
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Somatic variation
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Sex-specific genetic architecture
What the sources say
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Copy number variation
What the sources say
- Not checked yetcites [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
- Not checked yetcites [251] Menendez M (2005). Down syndrome, Alzheimer’s disease and seizures. Brain & development, 27(4), 246– 252. 15862185 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“APOE has been associated with sex-specific alterations in CSF tau levels and disease progression but not robustly with CSF Aβ1–42”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Sex-specific genetic architecture
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“CNVs may alter gene dosage and have a profound impact on both gene and protein function.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Copy number variation
What the sources say
- Not checked yetcites [247] Li W, & Olivier M (2013). Current analysis platforms and methods for detecting copy number variation. Physiological genomics, 45(1), 1– 16. 23132758 PMC3544484
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“One offspring of the affected patient inherited the PSEN1 mutation in all cells of her body and exhibited signs of dementia by age 27”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Somatic variation
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Copy number variation
What the sources say
- Not checked yetcites [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
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Somatic variation
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“AD is well-known to be more prevalent among elderly females”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Sex-specific genetic architecture
What the sources say
- Not checked yetcites [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.
- Not checked yetcites [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
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“CNVs may span multiple genes and have a measurable impact on more than one target [247]”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Copy number variation
What the sources say
- Not checked yetcites [247] Li W, & Olivier M (2013). Current analysis platforms and methods for detecting copy number variation. Physiological genomics, 45(1), 1– 16. 23132758 PMC3544484
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Genetic architecture of AD: beyond SNPs > Somatic variation
What the sources say
- Not checked yetcites [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
- Not checked yetcites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Missing heritability of AD
What the sources say
- Not checked yetcites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Missing heritability of AD
What the sources say
- Not checked yetcites [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
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Missing heritability of AD
What the sources say
- Not checked yetcites [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
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Missing heritability of AD
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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]”
§ Genetic architecture of Alzheimer’s disease > Additional Considerations > Use of model systems that reflect the genetic architecture of disease
What the sources say
- Not checked yetcites [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 yetcites [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 yetcites [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
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Genetic architecture of Alzheimer’s disease > Conclusions and future directions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
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?
In the citing paper
“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]
Citations
Cites
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · cited 1×
“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).”
BackgroundCorder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484 · cited 1×
“Together, this evidence has led to the development of 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 (Hardy and Higgins, 1992).”
BackgroundIntegrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368 · cited 2×
“This search has been facilitated by large-scale annotation projects such as the Roadmap Epigenomics Project (Roadmap Epigenomics, Consortium, et al., 2015), the Blueprint Project (Fernandez et al., 2016), and PsychENCODE (Psych, Encode Consortium, et al., 2015).”
MethodDementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072 · cited 1×
“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 (Eid et al., 2019; Livingston et al., 2017).”
BackgroundCommon polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821 · cited 1×
“Approaches to better understand how many associated variants may act together to predict risk of disease were first developed by the International Schizophrenia Consortium in 2009 [117].”
BackgroundMeta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · cited 3×
“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-citationCloning of a gene bearing missense mutations in early-onset familial Alzheimer's disease
Sherrington, R., Rogaev, E. I., Liang, Y., Rogaeva, E. A., Levesque, G., Ikeda, M., Chi, H., Lin, C., Li, G., Holman, K., et al. (1995) · Nature · doi:10.1038/375754a0 · Cited by 4,051
Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716 · cited 2×
“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) (Maurano et al., 2012) or assay for transposaseaccessible chromatin using seq…”
BackgroundMethodApolipoprotein E and Alzheimer disease: risk, mechanisms and therapy
Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.263 · Cited by 3,459 · cited 8×
“Of the three alleles, APOEε3 is the most common in all human populations, present in almost 80% of individuals (Liu et al., 2013).”
BackgroundInfluential
Flagged first, then by citations
4 of the 294 references couldn’t be matched to a known paper.
Cited by
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Items 101–125 of 125
Human IL-34 Deficiency Primes Microglia Toward Alzheimer’s Disease-Associated StatesPreprint
Hernández-Rasco, F., Ruiz, R. R., de Rojas, I., Puerta, R., Garcia-Mayor, C., Espinosa‐Oliva, A. M., García‐Revilla, J., Bayón-Buján, P., Rivera-Ramos, A., Oualit, F. R., et al. (2026) · medRxiv · doi:10.64898/2026.02.21.26346696 · Cited by 2
Review of the Pathology, Diagnosis and Treatment for Alzheimer's Disease
Liu, X. (2021) · International Conference on Bioinformatics and Intelligent Computing (BIC) · doi:10.1145/3448748.3448767
Yamada, M. (2021) · Neurology and Clinical Neuroscience · doi:10.1111/ncn3.12505
Genetic Substrates of Brain Vulnerability and Resilience in Aging APOE2 MicePreprint
Mahzarnia, A., Moon, H. S., Stout, J. A., Anderson, R. J., Strain, M., Tremblay, J. T., Han, Z. Y., Niculescu, A., MacFarlane, A., King, J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.12.520146
Alzheimer's Disease and the Amyloid Cascade
Oliveira, I. C., Castro, M. D. M. E., CONSULIN, V., Antunes, G. H., dos Santos, T. A., Lourenço, J. P. V., Covizzi, I. V. B., Vayego, S. A., Lima, A. R. D. A., & Covizzi, U. D. S. (2024) · Seven Editora eBooks · doi:10.56238/sevened2024.016-023
Dayama, G., Gupta, S., Connizzo, B. K., Labadorf, A. T., Myers, R. H., & Lau, N. C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.22.619758
Ancestry-specific gene expression in peripheral monocytes mediates risk of neurodegenerative diseasePreprint
Wagen, A. Z., Reynolds, R. H., Foo, J. N., Fairbrother-Browne, A., Gustavsson, E. K., Galgiano-Turin, S., Wood, N. W., Blauwendraat, C., Gandhi, S., & Ryten, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.20.624489
“Genes causally implicated in AD were identified as described by Neuner et al 45 , selecting the 18 genes with increased confidence of causation.”
Genetics of Alzheimer’s Disease, Parkinson’s Disease, and Lewy Body Dementia
Renton, A. E., Fulton‐Howard, B., Andrews, S. J., Marcora, E. M., & Goate, A. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780197640654.003.0053
Self-citationThe complexity of Alzheiemer's disease: New frontiers
Stefanova, E. D. (2024) · Medicinski podmladak · doi:10.5937/mp75-54670
Sandhu, J. K., Thakur, K., Cai, D., Péladeau, C. L., Hewitt, M., & Ghadban, W. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-22300-6.00055-3 · Cited by 1
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14992873
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. (2022) · Figshare · doi:10.6084/m9.figshare.20056383
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14992879
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. (2022) · Figshare · doi:10.6084/m9.figshare.20056359
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14992870
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. (2022) · Figshare · doi:10.6084/m9.figshare.20056422
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14992882
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14992876
Benítez, D. P., Jiang, S., Wood, J. I., Wang, R., Hall, C. M., Peerboom, C., Wong, N., Stringer, K. M., Vitanova, K. S., Smith, V. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14992867
Epigenetics in neurodegeneration: Emerging biomarkers and translational insights
Singh, H., Gurjar, S., & Taliyan, R. (2025) · Brain Research · doi:10.1016/j.brainres.2025.150005
UK Biobank at 20 — a growing, global resource for dementia research
Matthews, P. M., Allen, N. E., Debette, S., Doherty, A., Douaud, G., Duff, E. P., Elliott, P., Fulda, E. S., Ilina, A., Grand, Q. L., et al. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-026-01200-3
“They have also been used to develop polygenic risk scores (PRS) to predict dementia risk 22,24 (Box 2) and in Mendelian randomization analyses, in which genetic variants are used as instruments to enable testing for potential causal associations.”
Dayama, G., Lee, J.-H. R., Gupta, S., Brion, C., Connizzo, B. K., Labadorf, A. T., Myers, R. H., & Lau, N. C. (2026) · Genome Research · doi:10.1101/gr.280565.125
Cheung, N. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261468711
Periyasamy, T. S., Sekar, N., & Lakshmanan, H. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261471812
The associations between ATN biomarkers and episodic memory diminish as age increases
Ekman, U., Gyllenhammar, M., Almkvist, O., Ocklind, A., Hallerstam, L., Ferreira, D., Eriksdotter, M., Wahlund, L., Rennie, A., & Westman, E. (2026) · European Geriatric Medicine · doi:10.1007/s41999-026-01606-8
Metadata
- 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
- 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
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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