Mendelian randomization highlights significant difference and genetic heterogeneity in clinically diagnosed Alzheimer’s disease GWAS and self-report proxy phenotype GWAX
Open accessAbstract
Background: Until now, Mendelian randomization (MR) studies have investigated the causal association of risk factors with Alzheimer’s disease (AD) using large-scale AD genome-wide association studies (GWAS), GWAS by proxy (GWAX), and meta-analyses of GWAS and GWAX (GWAS+GWAX) datasets. However, it currently remains unclear about the consistency of MR estimates across these GWAS, GWAX, and GWAS+GWAX datasets. Methods: Here, we first selected 162 independent educational attainment genetic variants as the potential instrumental variables (N = 405,072). We then selected one AD GWAS dataset (N = 63,926), two AD GWAX datasets (N = 314,278 and 408,942), and three GWAS+GWAX datasets (N = 388,324, 455,258, and 472,868). Finally, we conducted a MR analysis to evaluate the impact of educational attainment on AD risk across these datasets. Meanwhile, we tested the genetic heterogeneity of educational attainment genetic variants across these datasets. Results: In AD GWAS dataset, MR analysis showed that each SD increase in years of schooling (about 3.6 years) was significantly associated with 29% reduced AD risk (OR=0.71, 95% CI: 0.60–0.84, and P=1.02E−04). In AD GWAX dataset, MR analysis highlighted that each SD increase in years of schooling significantly increased 84% AD risk (OR=1.84, 95% CI: 1.59–2.13, and P=4.66E−16). Meanwhile, MR analysis suggested the ambiguous findings in AD GWAS+GWAX datasets. Heterogeneity test indicated evidence of genetic heterogeneity in AD GWAS and GWAX datasets. Conclusions: We highlighted significant difference and genetic heterogeneity in clinically diagnosed AD GWAS and self-report proxy phenotype GWAX. Our MR findings are consistent with recent findings in AD genetic variants. Hence, the GWAX and GWAS+GWAX findings and MR findings from GWAX and GWAS+GWAX should be carefully interpreted and warrant further investigation using the AD GWAS dataset.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
This is in accordance with previous reports of biases observed with genome-wide summary statistics of studies including proxy cases.
“This is in accordance with previous reports of biases observed with genome-wide summary statistics of studies including proxy cases14–16.”
From Consensus meta-analysis of genome-wide association studies for Alzheimer’s disease and related dementias (2026) · cites this paper as [15]
Using genome-wide summary statistics from studies including proxy cases can introduce biases.
“The no-proxy summary statistics were selected for this analysis to maximize power while avoiding biases that can arise when using genome-wide summary statistics from studies including proxy cases14–16.”
From Consensus meta-analysis of genome-wide association studies for Alzheimer’s disease and related dementias (2026) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 52 · Cited by 51
Research works printed but not linked: 43
- [1]Liu G Yao L Liu J Jiang Y Ma G Chen Z Zhao B Li K Cardiovascular disease contributes to Alzheimer's disease: evidence from large-scale genome-wide association studies Neurobiol Aging 2014 35 4 786 792 24231519
- [2]Hu Y Sun JY Zhang Y Zhang H Gao S Wang T Han Z Wang L Sun BL Liu G rs1990622 variant associates with Alzheimer's disease and regulates TMEM106B expression in human brain tissues BMC Med 2021 19 1 11 33461566 PMC7814705
- [3]Seshadri S Fitzpatrick AL Ikram MA DeStefano AL Gudnason V Boada M Bis JC Smith AV Carassquillo MM Lambert JC Genome-wide analysis of genetic loci associated with Alzheimer disease JAMA 2010 303 18 1832 1840 20460622 PMC2989531
- [4]Hollingworth P Harold D Sims R Gerrish A Lambert JC Carrasquillo MM Abraham R Hamshere ML Pahwa JS Moskvina V Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease Nat Genet 2011 43 5 429 435 21460840 PMC3084173
- [5]Lambert JC Heath S Even G Campion D Sleegers K Hiltunen M Combarros O Zelenika D Bullido MJ Tavernier B Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease Nat Genet 2009 41 10 1094 1099 19734903
- [6]Lambert JC Ibrahim-Verbaas CA Harold D Naj AC Sims R Bellenguez C DeStafano AL Bis JC Beecham GW Grenier-Boley B Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease Nat Genet 2013 45 12 1452 1458 24162737 PMC3896259
- [9]Kunkle BW Grenier-Boley B Sims R Bis JC Damotte V Naj AC Boland A Vronskaya M van der Lee SJ Amlie-Wolf A Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing Nat Genet 2019 51 3 414 430 30820047 PMC6463297
- [10]Andrews SJ Fulton-Howard B Goate A Interpretation of risk loci from genome-wide association studies of Alzheimer's disease Lancet Neurol 2020 19 4 326 335 31986256 PMC8176461
- [12]Sims R Hill M Williams J The multiplex model of the genetics of Alzheimer's disease Nat Neurosci 2020 23 3 311 322 32112059
- [14]Jansen IE Savage JE Watanabe K Bryois J Williams DM Steinberg S Sealock J Karlsson IK Hagg S Athanasiu L Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk Nat Genet 2019 51 3 404 413 30617256 PMC6836675
- [15]Schwartzentruber J Cooper S Liu JZ Barrio-Hernandez I Bello E Kumasaka N Young AMH Franklin RJM Johnson T Estrada K Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes Nat Genet 2021 53 3 392 402 33589840 PMC7610386
- [16]Larsson SC Traylor M Malik R Dichgans M Burgess S Markus HS Modifiable pathways in Alzheimer's disease: Mendelian randomisation analysis BMJ 2017 359 j5375 29212772 PMC5717765
- [17]Wang Z Meng L Shen L Ji HF Impact of modifiable risk factors on Alzheimer's disease: A two-sample Mendelian randomization study Neurobiol Aging 2020 91 167 e111 167 e119 32204957
- [18]Andrews SJ Fulton-Howard B O'Reilly P Marcora E Goate AM Causal Associations Between Modifiable Risk Factors and the Alzheimer's Phenome Ann Neurol 2021 89 1 54 65 32996171 PMC8088901
- [19]Liu G Zhao Y Jin S Hu Y Wang T Tian R Han Z Xu D Jiang Q Circulating vitamin E levels and Alzheimer's disease: a Mendelian randomization study Neurobiol Aging 2018 72 189 e181 189 e189 30174138
- [20]Wang L Qiao Y Zhang H Zhang Y Hua J Jin S Liu G Circulating Vitamin D Levels and Alzheimer's Disease: A Mendelian Randomization Study in the IGAP and UK Biobank J Alzheimers Dis 2020 73 2 609 618 31815694
- [21]He Y Zhang H Wang T Han Z Ni QB Wang K Wang L Zhang Y Hu Y Jin S Impact of Serum Calcium Levels on Alzheimer's Disease: A Mendelian Randomization Study J Alzheimers Dis 2020 76 2 713 724 32538835
- [22]Fani L Georgakis MK Ikram MA Ikram MK Malik R Dichgans M Circulating biomarkers of immunity and inflammation, risk of Alzheimer's disease, and hippocampal volume: a Mendelian randomization study Transl Psychiatry 2021 11 1 291 34001857 PMC8129147
- [23]Lord J, Jermy B, Green R, Wong A, Xu J, Legido-Quigley C, et al. Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer's disease. Proc Natl Acad Sci U S A. 2021;118(16):e2009808118. PMC8072203 33879569
- [24]Anderson EL Richmond RC Jones SE Hemani G Wade KH Dashti HS Lane JM Wang H Saxena R Brumpton B Is disrupted sleep a risk factor for Alzheimer's disease? Evidence from a two-sample Mendelian randomization analysis Int J Epidemiol 2021 50 3 817 828 33150399 PMC8271193
- [25]Zhuang Z Yang R Wang W Qi L Huang T Associations between gut microbiota and Alzheimer's disease, major depressive disorder, and schizophrenia J Neuroinflammation 2020 17 1 288 33008395 PMC7532639
- [26]Li X Tian Y Yang YX Ma YH Shen XN Chen SD Dong PQ Tan L Yu JT Life Course Adiposity and Alzheimer's Disease: A Mendelian Randomization Study J Alzheimers Dis 2021 82 2 503 512 34057091
- [27]Ma YH Yang YX Shen XN Chen SD Tan L Dong Q Yu JT Evaluation relationships between subjective wellbeing, personality traits, and Alzheimer's disease: A two-sample Mendelian randomization study J Psychiatr Res 2021 137 498 505 33798978
- [28]Sproviero W Winchester L Newby D Fernandes M Shi L Goodday SM Prats-Uribe A Alhambra DP Buckley NJ Nevado-Holgado AJ High Blood Pressure and Risk of Dementia: A Two-Sample Mendelian Randomization Study in the UK Biobank Biol Psychiatry 2021 89 8 817 824 33766239
- [29]Shen LX Yang YX Kuo K Li HQ Chen SD Chen KL Dong Q Tan L Yu JT Social Isolation, Social Interaction, and Alzheimer's Disease: A Mendelian Randomization Study J Alzheimers Dis 2021 80 2 665 672 33579855
- [30]Yeung CHC Schooling CM Systemic inflammatory regulators and risk of Alzheimer's disease: a bidirectional Mendelian-randomization study Int J Epidemiol 2021 50 3 829 840 33313759
- [31]Zhuang Z Gao M Yang R Liu Z Cao W Huang T Causal relationships between gut metabolites and Alzheimer's disease: a bidirectional Mendelian randomization study Neurobiol Aging 2021 100 119 e115 119 e118 33280888
- [32]Kwok MK Schooling CM Herpes simplex virus and Alzheimer's disease: a Mendelian randomization study Neurobiol Aging 2021 99 101 e111 101 e113 33139072
- [33]Anderson EL Howe LD Wade KH Ben-Shlomo Y Hill WD Deary IJ Sanderson EC Zheng J Korologou-Linden R Stergiakouli E Education, intelligence and Alzheimer's disease: evidence from a multivariable two-sample Mendelian randomization study Int J Epidemiol 2020 49 4 1163 1172 32003800 PMC7660137
- [34]Okbay A Beauchamp JP Fontana MA Lee JJ Pers TH Rietveld CA Turley P Chen GB Emilsson V Meddens SF Genome-wide association study identifies 74 loci associated with educational attainment Nature 2016 533 7604 539 542 27225129 PMC4883595
- [35]Sudlow C Gallacher J Allen N Beral V Burton P Danesh J Downey P Elliott P Green J Landray M UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age PLoS Med 2015 12 3 e1001779 25826379 PMC4380465
- [36]Burgess S Thompson SG Interpreting findings from Mendelian randomization using the MR-Egger method Eur J Epidemiol 2017 32 5 377 389 28527048 PMC5506233
- [39]Yavorska OO Burgess S MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data Int J Epidemiol 2017 46 6 1734 1739 28398548 PMC5510723
- [42]Liu G Zhang S Cai Z Ma G Zhang L Jiang Y Feng R Liao M Chen Z Zhao B PICALM Gene rs3851179 Polymorphism Contributes to Alzheimer's Disease in an Asian Population Neuromolecular Med 2013 15 2 384 388 23572399
- [43]Dahl A Cai N Ko A Laakso M Pajukanta P Flint J Zaitlen N Reverse GWAS: Using genetics to identify and model phenotypic subtypes PLoS Genet 2019 15 4 e1008009 30951530 PMC6469799
- [44]Zhou M, Li H, Wang Y, Pan Y. Causal effect of insulin resistance on small vessel stroke and Alzheimer's disease: A Mendelian randomization analysis. Eur J Neurol. 2021. 10.1111/ene.15190. Online ahead of print. 34797599 · DOI
- [45]Liu H Zhang Y Hu Y Zhang H Wang T Han Z Gao S Wang L Liu G Mendelian randomization to evaluate the effect of plasma vitamin C levels on the risk of Alzheimer's disease Genes Nutr 2021 16 1 19 34715780 PMC8555275
- [46]Huang SY Yang YX Kuo K Li HQ Shen XN Chen SD Cui M Tan L Dong Q Yu JT Herpesvirus infections and Alzheimer's disease: a Mendelian randomization study Alzheimers Res Ther 2021 13 1 158 34560893 PMC8464096
- [47]Zhang Z Wang M Liu X C-reactive protein and risk of Alzheimer's disease Neurobiol Aging 2022 109 259 263 34538509
- [48]Wang RZ Yang YX Li HQ Shen XN Chen SD Cui M Wang Y Dong Q Yu JT Genetically determined low income modifies Alzheimer's disease risk Ann Transl Med 2021 9 15 1222 34532359 PMC8421944
- [50]Zhang Z Wang M Yuan S Cai H Zhu SG Liu X Genetically Predicted Coffee Consumption and Risk of Alzheimer's Disease and Stroke J Alzheimers Dis 2021 83 4 1815 1823 34459406
- [51]Handy A Lord J Green R Xu J Aarsland D Velayudhan L Hye A Dobson R Proitsi P Assessing Genetic Overlap and Causality Between Blood Plasma Proteins and Alzheimer's Disease J Alzheimers Dis 2021 83 4 1825 1839 34459398 PMC8609677
- [52]Li GH Cheung CL Cheung EY Chan WC Tan KC Genetically Determined TSH Level Within Reference Range Is Inversely Associated With Alzheimer Disease J Clin Endocrinol Metab 2021 106 12 e5064 e5074 34272859
- Authors
- Liu, H., Hu, Y., Zhang, Y., Zhang, H., Gao, S., Wang, L., Wang, T., Han, Z., Sun, B.-L., & Liu, G.
- Affiliations
- Capital Medical University (CN)
- Harbin Institute of Technology (CN)
- Weifang Medical University (CN)
- Chinese Institute for Brain Research (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Corresponding author
- Liu, Guiyou
- Venue
- Alzheimer's Research & Therapy
- Published
- 2022-01-28
- Volume
- 14
- Issue
- 1
- Pages
- 17-17
- ISSN
- 1758-9193 (ISSN-L)
- PMC
- PMC8800228
- OpenAlex
- W4210363323
- Cited by
- 51
- References
- 52
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 11 · 2023: 10 · 2022: 5
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Alzheimer s Research & Therapy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- national natural science foundation of china (82071212, and 81901181)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, educational attainment, years of schooling, genetic heterogeneity, instrumental variables, causal risk factors, Alzheimer's disease risk
- MeSH terms
- Alzheimer Disease, Humans, Phenotype, Genetic Heterogeneity, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Mendelian Randomization Analysis, Self Report
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review