HRS Bibliography

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Ojalehto E, Zhan Y, Jylhava J, Reynolds C, Aslan AKDahl, Karlsson I. Genetically and environmentally predicted obesity in relation to cardiovascular disease: a nationwide cohort study. The Lancet. 2023. doi:10.1016/j.eclinm.2023.101943.
Liu SY, Walter S, Marden JR, et al. Genetic vulnerability to diabetes and obesity: does education offset the risk?. Soc Sci Med. 2015;127:150-8. doi:10.1016/j.socscimed.2014.09.009.
http://www.ncbi.nlm.nih.gov/pubmed/25245452?dopt=Abstract
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TE, Curran SP. Genetic variation in ALDH4A1 predicts muscle health over the lifespan and across species. Elife. 2022;11(e74308). doi:10.7554/eLife.74308.
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TEm, Curran SP. Genetic variation in ALDH4A1 is associated with muscle health over the lifespan and across species. Elife. 2022;11:e74308. doi:10.7554/eLife.74308.
Ward ME, McMahon G, St Pourcain B, et al. Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children. Li Y, ed. PLoS One. 2014;9(7):e100248. doi:10.1371/journal.pone.0100248.
http://www.ncbi.nlm.nih.gov/pubmed/25032841?dopt=Abstract
Arpawong TE, Pendleton N, Mekli K, et al. Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort. PLoS One. 2017;12(8):e0182448. doi:10.1371/journal.pone.0182448.
http://www.ncbi.nlm.nih.gov/pubmed/28800603?dopt=Abstract
Lu AT, Hannon E, Levine ME, et al. Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nat Commun. 2016;7:10561. doi:10.1038/ncomms10561.
http://www.ncbi.nlm.nih.gov/pubmed/26830004?dopt=Abstract
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.
http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract
Zhang C, Pierce BL. Genetic susceptibility to accelerated cognitive decline in the US Health and Retirement Study. Neurobiol Aging. 2014;35(6):1512.e11-8. doi:10.1016/j.neurobiolaging.2013.12.021.
http://www.ncbi.nlm.nih.gov/pubmed/24468470?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Wehby GL, Domingue BW, Wolinsky FD. Genetic risks for chronic conditions: Implications for long-term wellbeing. Journals of Gerontology, Series A: Biological Sciences & Medical Sciences. 2018;73(4):477-483. doi:10.1093/gerona/glx154.
http://www.ncbi.nlm.nih.gov/pubmed/28958056?dopt=Abstract
Linnér RKarlsson, Koellinger PD. Genetic risk scores in life insurance underwriting. Journal of Health Economics. 2022;81:102556. doi:https://doi.org/10.1016/j.jhealeco.2021.102556.
Arpawong TEm, Huh J. GENETIC RISK FOR ADHD ON LATER LIFE EMOTIONAL AND COGNITIVE HEALTH: TESTING MECHANISMS OF EFFECT. Innovation in Aging. 2022;6(Suppl 1):431. doi:10.1093/geroni/igac059.1691.
Slob E, Rietveld CA. Genetic predispositions moderate the effectiveness of tobacco excise taxes. PLoS One. 2021;16(11):e0259210. doi:10.1371/journal.pone.0259210.
Wehby GL, Domingue BW, Ullrich FA, Wolinsky FD. Genetic Predisposition to Obesity and Medicare Expenditures. The Journals of Gerontology: Series A. 2017;73:66-72. doi:10.1093/gerona/glx062.PDF icon glx062.pdf (148.77 KB)
Levine ME, Crimmins EM. A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans. J Gerontol A Biol Sci Med Sci. 2016;71(6):703-12. doi:10.1093/gerona/glv141.
http://www.ncbi.nlm.nih.gov/pubmed/26355015?dopt=Abstract
Runge SK. Genetic Moderators of Cognitive Decline in the Health and Retirement Study. Aging Studies. 2016;Ph.D.:121.
Hupfeld KE, Vaillancourt DE, Seidler RD. Genetic markers of dopaminergic transmission predict performance for older males but not females. Neurobiology of Aging. 2018;66(180):.e11-180.e21. doi:10.1016/j.neurobiolaging.2018.02.005.
http://www.ncbi.nlm.nih.gov/pubmed/29525179?dopt=Abstract
Walter S, Mejía-Guevara I, Tchetgen Tchetgen EJ, et al. A Genetic IV Analysis to Assess the Effect of Body Mass Index on Depression in the Health And Retirement Study. Am J Epidemiol. 2013;177:S12.
Nazarian A, Arbeev KG, Yashkin AP, Kulminski AM. Genetic heterogeneity of Alzheimer's disease in subjects with and without hypertension. Geroscience. 2019;41(2):137-154. doi:10.1007/s11357-019-00071-5.
http://www.ncbi.nlm.nih.gov/pubmed/31055733?dopt=Abstract
Domingue BW, Liu H, Okbay A, Belsky DW. Genetic Heterogeneity in Depressive Symptoms Following the Death of a Spouse: Polygenic Score Analysis of the U.S. Health and Retirement Study. American Journal of Psychiatry. 2017;174(10):963-970. doi:10.1176/appi.ajp.2017.16111209.
Linnér RKarlsson, Koellinger PD. Genetic health risks, insurance, and retirement. Tilburg: Netspar; 2020.
Kweon H, Burik C, Linnér RKarlsson, et al. Genetic Fortune: Winning or Losing Education, Income, and Health. Amsterdam: Tinbergen Institute; 2020.
Beauchamp JP. Genetic evidence for natural selection in humans in the contemporary United States. Proc Natl Acad Sci U S A. 2016;113(28):7774-9. doi:10.1073/pnas.1600398113.
http://www.ncbi.nlm.nih.gov/pubmed/27402742?dopt=Abstract
Castellini-Perez O, Iakovliev A, Martinez-Bueno M, et al. GENETIC EVALUATION OF MOLECULAR TRAITS IN SYSTEMIC LUPUS ERYTHEMATOSUS. Lupus Science & Medicine . 2022;9(Suppl 2):A13-A14. doi:10.1136/lupus-2022-elm2022.19.