Show simple item record

Alzheimer’s disease genetic risk variants beyond APOE ε4 predict mortality

dc.contributor.authorMez, Jesse
dc.contributor.authorMarden, Jessica R.
dc.contributor.authorMukherjee, Shubhabrata
dc.contributor.authorWalter, Stefan
dc.contributor.authorGibbons, Laura E.
dc.contributor.authorGross, Alden L.
dc.contributor.authorZahodne, Laura B.
dc.contributor.authorGilsanz, Paola
dc.contributor.authorBrewster, Paul
dc.contributor.authorNho, Kwangsik
dc.contributor.authorCrane, Paul K.
dc.contributor.authorLarson, Eric B.
dc.contributor.authorGlymour, M. Maria
dc.date.accessioned2020-01-13T15:11:06Z
dc.date.available2020-01-13T15:11:06Z
dc.date.issued2017
dc.identifier.citationMez, Jesse; Marden, Jessica R.; Mukherjee, Shubhabrata; Walter, Stefan; Gibbons, Laura E.; Gross, Alden L.; Zahodne, Laura B.; Gilsanz, Paola; Brewster, Paul; Nho, Kwangsik; Crane, Paul K.; Larson, Eric B.; Glymour, M. Maria (2017). "Alzheimer’s disease genetic risk variants beyond APOE ε4 predict mortality." Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring 8(C): 188-195.
dc.identifier.issn2352-8729
dc.identifier.issn2352-8729
dc.identifier.urihttps://hdl.handle.net/2027.42/152833
dc.description.abstractIntroductionWe hypothesized that, like apolipoprotein E (APOE), other late‐onset Alzheimer’s disease (LOAD) genetic susceptibility loci predict mortality.MethodsWe used a weighted genetic risk score (GRS) from 21 non‐APOE LOAD risk variants to predict survival in the Adult Changes in Thought and the Health and Retirement Studies. We meta‐analyzed hazard ratios and examined models adjusted for cognitive performance or limited to participants with dementia. For replication, we assessed the GRS‐longevity association in the Cohorts for Heart and Aging Research in Genomic Epidemiology, comparing cases surviving to age ≥90 years with controls who died between ages 55 and 80 years.ResultsHigher GRS predicted mortality (hazard ratio = 1.05; 95% confidence interval: 1.00–1.10, P = .04). After adjusting for cognitive performance or restricting to participants with dementia, the relationship was attenuated and no longer significant. In case‐control analysis, the GRS was associated with reduced longevity (odds ratio = 0.64; 95% confidence interval: 0.41–1.00, P = .05).DiscussionNon‐APOE LOAD susceptibility loci confer risk for mortality, likely through effects on dementia incidence.HighlightsA genetic risk score from 21 non‐APOE late‐onset Alzheimer’s disease risk variants predicts mortality.The genetic risk score likely confers risk for mortality through its effect on dementia incidence.Late‐onset Alzheimer’s disease risk loci effect estimates from genome‐wide association unlikely suffer from selection bias.
dc.publisherWiley Periodicals, Inc.
dc.publisherInstitute for Social Research, University of Michigan
dc.subject.otherSelection bias
dc.subject.otherLongevity
dc.subject.otherCollider stratification bias
dc.subject.otherSurvivor bias
dc.subject.otherGenome‐wide association study (GWAS)
dc.subject.otherAPOE
dc.subject.otherAdult Changes in Thought (ACT)
dc.subject.otherHealth and Retirement Study (HRS)
dc.subject.otherCohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)
dc.subject.otherAlzheimer’s disease
dc.subject.otherSurvival analysis
dc.subject.otherGenetic risk score
dc.subject.otherMortality
dc.titleAlzheimer’s disease genetic risk variants beyond APOE ε4 predict mortality
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelNeurology and Neurosciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/152833/1/dad2jdadm201707002.pdf
dc.identifier.doi10.1016/j.dadm.2017.07.002
dc.identifier.sourceAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
dc.identifier.citedreferenceA.D. Johnson, R.E. Handsaker, S.L. Pulit, M.M. Nizzari, C.J. O’Donnell, D. Bakker, et al. SNAP: a web‐based tool for identification and annotation of proxy SNPs using HapMap. Bioinformatics. 24: 2008; 2938 – 2939
dc.identifier.citedreferenceS. Mukherjee, S. Walter, J.S.K. Kauwe, A.J. Saykin, D.A. Bennett, E.B. Larson, et al. Genetically predicted body mass index and Alzheimer’s disease–related phenotypes in three large samples: Mendelian randomization analyses. Alzheimers Dement. 11: 2015; 1439 – 1451
dc.identifier.citedreferenceX. Wang, O. Lopez, R.A. Sweet, J.T. Becker, S.T. DeKosky, M.M. Barmada, et al. Genetic determinants of survival in patients with Alzheimer’s disease. J Alzheimers Dis. 45: 2015; 651 – 658
dc.identifier.citedreferenceE.R. Mayeda, E.J. Tchetgen Tchetgen, M.C. Power, J. Weuve, H. Jacqmin‐Gadda, J.R. Marden, et al. A Simulation Platform for Quantifying Survival Bias: An Application to Research on Determinants of Cognitive Decline. Am J Epidemiol. 184: 2016; 378 – 387
dc.identifier.citedreferenceA. Sonnega, J.D. Faul, M.B. Ofstedal, K.M. Langa, J.W.R. Phillips, D.R. Weir. Cohort profile: the Health and Retirement Study (HRS). Int J Epidemiol. 43: 2014; 576 – 585
dc.identifier.citedreferenceL. Broer, A.S. Buchman, J. Deelen, D.S. Evans, J.D. Faul, K.L. Lunetta, et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. J Gerontol A Biol Sci Med Sci. 70: 2015; 110 – 118
dc.identifier.citedreferenceE.L. Teng, K. Hasegawa, A. Homma, Y. Imai, E. Larson, A. Graves, et al. The Cognitive Abilities Screening Instrument (CASI): a practical test for cross‐cultural epidemiological studies of dementia. Int Psychogeriatr. 6: 1994; 45 – 58, discussion 62
dc.identifier.citedreferenceD.R. Weir, S. Kardia, K.M. Langa, J.D. Faul, Y.V. Sun, R. Mayeux, et al. Health and Retirement Study. Genome Wide Association Study Overview. 2010; Institute for Social Research, University of Michigan: Ann Arbor, MI
dc.identifier.citedreferenceM. Szklo. Population‐based cohort studies. Epidemiol Rev. 20: 1998; 81 – 90
dc.identifier.citedreferenceB.W. Whitcomb, E.F. Schisterman, N.J. Perkins, R.W. Platt. Quantification of collider‐stratification bias and the birthweight paradox. Paediatr Perinat Epidemiol. 23: 2009; 394 – 402
dc.identifier.citedreferenceA.M. Kulminski, K.G. Arbeev, I. Culminskaya, L. Arbeeva, S.V. Ukraintseva, E. Stallard, et al. Age, gender, and cancer but not neurodegenerative and cardiovascular diseases strongly modulate systemic effect of the Apolipoprotein E4 allele on lifespan. PLoS Genet. 10: 2014; e1004141
dc.identifier.citedreferenceA.M. Herskind, M. McGue, N.V. Holm, T.I. Sørensen, B. Harvald, J.W. Vaupel. The heritability of human longevity: a population‐based study of 2872 Danish twin pairs born 1870‐1900. Hum Genet. 97: 1996; 319 – 323
dc.identifier.citedreferenceS. Burgess, S.G. Thompson. Use of allele scores as instrumental variables for Mendelian randomization. Int J Epidemiol. 42: 2013; 1134 – 1144
dc.identifier.citedreferenceZ. Dastani, M.F. Hivert, N. Timpson, J.R.B. Perry, X. Yuan, R.A. Scott, et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic Traits: a multi‐ethnic meta‐analysis of 45,891 individuals. PLoS Genet. 8: 2012; e1002607
dc.identifier.citedreferenceStata Statistical Software. 2009; StataCorp LP: College Station, TX
dc.identifier.citedreferenceJ.R. Marden, S. Walter, E.J. Tchetgen Tchetgen, I. Kawachi, M.M. Glymour. Validation of a polygenic risk score for dementia in black and white individuals. Brain Behav. 4: 2014; 687 – 697
dc.identifier.citedreferenceAssociation AP Diagnostic and Statistical Manual of Mental Disorders DSM‐IV‐TR Fourth Edition. 4th ed.. 2000; American Psychiatric Publishing, Inc.: Washington, DC
dc.identifier.citedreferenceQ. Wu, E.J. Tchetgen Tchetgen, T.L. Osypuk, K. White, M. Mujahid, M. Maria Glymour. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 27: 2013; 207 – 212
dc.identifier.citedreferenceP.K. Crane, G. van Belle, E.B. Larson. Test bias in a cognitive test: differential item functioning in the CASI. Stat Med. 23: 2004; 241 – 256
dc.identifier.citedreferenceJ.C. Lambert, C.A. Ibrahim‐Verbaas, D. Harold, A.C. Naj, R. Sims, C. Bellenguez, et al. Meta‐analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nat Genet. 45: 2013; 1452 – 1458
dc.identifier.citedreferenceJ. Deelen, M. Beekman, H.W. Uh, Q. Helmer, M. Kuningas, L. Christiansen, et al. Genome‐wide association study identifies a single major locus contributing to survival into old age; the APOE locus revisited. Aging Cell. 10: 2011; 686 – 698
dc.identifier.citedreferenceA. Nebel, R. Kleindorp, A. Caliebe, M. Nothnagel, H. Blanché, O. Junge, et al. A genome‐wide association study confirms APOE as the major gene influencing survival in long‐lived individuals. Mech Ageing Dev. 132: 2011; 324 – 330
dc.identifier.citedreferenceP. Sebastiani, N. Solovieff, A.T. Dewan, K.M. Walsh, A. Puca, S.W. Hartley, et al. Genetic signatures of exceptional longevity in humans. PLoS One. 7: 2012; e29848
dc.identifier.citedreferenceK.M. Hayden, P.P. Zandi, C.G. Lyketsos, J.T. Tschanz, M.C. Norton, A.S. Khachaturian, et al. Apolipoprotein E genotype and mortality: findings from the Cache County Study. J Am Geriatr Soc. 53: 2005; 935 – 942
dc.identifier.citedreferenceL. Rosvall, D. Rizzuto, H.‐X. Wang, B. Winblad, C. Graff, L. Fratiglioni. APOE‐related mortality: effect of dementia, cardiovascular disease and gender. Neurobiol Aging. 30: 2009; 1545 – 1551
dc.identifier.citedreferenceAlzheimer’s Association. 2015 Alzheimer’s disease facts and figures. Alzheimers Dement. 11: 2015; 332 – 384
dc.identifier.citedreferenceM.A. Hernán, S. Hernández‐Díaz, J.M. Robins. A structural approach to selection bias. Epidemiology. 15: 2004; 615 – 625
dc.identifier.citedreferenceM.M. Glymour. Invited commentary: when bad genes look good–APOE*E4, cognitive decline, and diagnostic thresholds. Am J Epidemiol. 165: 2007; 1239 – 1246, author reply 1247
dc.identifier.citedreferenceC. Lahoz, E.J. Schaefer, L.A. Cupples, P.W. Wilson, D. Levy, D. Osgood, et al. Apolipoprotein E genotype and cardiovascular disease in the Framingham Heart Study. Atherosclerosis. 154: 2001; 529 – 537
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.