HRS Bibliography

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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.
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.
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.
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.
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.
Smith JA, Kho M, Zhao W, Yu M, Mitchell CM, Faul JD. Genetic effects and gene-by-education interactions on episodic memory performance and decline in an aging population. Social Science & Medicine. 2018. doi:10.1016/j.socscimed.2018.11.019.
Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014;15:159. doi:10.1186/s12863-014-0159-7.
Davies G, Armstrong N, Joshua C. Bis, Ibrahim-Verbaas CA, et al. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry. 2015;20(2):183-92. doi:10.1038/mp.2014.188.
Rietveld CA, Webbink D. On the genetic bias of the quarter of birth instrument. Economics and Human Biology. 2016;21:137-146. doi:10.1016/j.ehb.2016.01.002.
Sathyan S, Wang T, Ayers E, Verghese J. Genetic basis of motoric cognitive risk syndrome in the Health and Retirement Study. Neurology. 2019;92(13):e1427-e1434. doi:10.1212/WNL.0000000000007141.
Bae H, Lunetta KL, Murabito JM, et al. Genetic associations with age of menopause in familial longevity. Menopause. 2019. doi:10.1097/GME.0000000000001367.
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
Liu H. Genetic architecture of socioeconomic outcomes: Educational attainment, occupational status, and wealth. Social Science Research. 2019;82:137-147. doi:10.1016/j.ssresearch.2019.04.008.
Lu AT, Hannon E, Levine ME, et al. Genetic architecture of epigenetic and neuronal ageing rates in human brain regions. Nature Communications. 2017;8. doi:10.1038/ncomms15353.
Yu PP, Shockley KM. Genetic approaches in studying work-family conflict and enrichment. Society for Industrial and Organizational Psychology. 2016.
Das A. Genetic and Educational Correlates of Religious Belief. Adaptive Human Behavior and Physiology. 2020;6(1):119 - 136. doi:10.1007/s40750-020-00131-7.
Domingue BW, Fletcher JM, Conley DC, Boardman JD. Genetic and educational assortative mating among US adults. Proc Natl Acad Sci U S A. 2014;111(22):7996-8000. doi:10.1073/pnas.1321426111.
Oster E, Shoulson I, Quaid K, E. Dorsey R. Genetic adverse selection: Evidence from long-term care insurance and Huntington disease. Journal of Public Economics. 2010;94:1041-1050.
Das A. Genes-in-Dyads: A Study of Relationship Quality. Research on Aging. 2020. doi:10.1177/0164027520920024.
Herd P, Freese J, Sicinski K, et al. Genes, Gender Inequality, and Educational Attainment. AMERICAN SOCIOLOGICAL REVIEW. 2019;84:1069-1098. doi:10.1177/0003122419886550.
Papageorge NW, Thom K. Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study. Journal of the European Economic Association. 2020;18(3):1351 - 1399. doi:10.1093/jeea/jvz072.
Papageorge N, Thom K. Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study. Cambridge, MA: National Bureau of Economic Research; 2018. doi:10.3386/w25114.
Das A. Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States. Social Science & Medicine. 2019;242:112586.