HRS Bibliography

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Das A. Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States. Social Science & Medicine. 2019;242:112586. doi:doi.org/10.1016/j.socscimed.2019.112586.
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.
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.
Das A. Genes-in-Dyads: A Study of Relationship Quality. Research on Aging. 2020. doi:10.1177/0164027520920024.
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.
Domingue BW, Fletcher JM, Dalton C. Conley, 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.
http://www.ncbi.nlm.nih.gov/pubmed/24843128?dopt=Abstract
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.
Yu PP, Shockley KM. Genetic approaches in studying work-family conflict and enrichment. Society for Industrial and Organizational Psychology. 2016.
Lu AT, Hannon E, Levine ME, et al. Genetic architecture of epigenetic and neuronal ageing rates in human brain regions. Nat Commun. 2017;8:15353. doi:10.1038/ncomms15353.
http://www.ncbi.nlm.nih.gov/pubmed/28516910?dopt=Abstract
Liu H. Genetic architecture of socioeconomic outcomes: Educational attainment, occupational status, and wealth. Soc Sci Res. 2019;82:137-147. doi:10.1016/j.ssresearch.2019.04.008.
http://www.ncbi.nlm.nih.gov/pubmed/31300074?dopt=Abstract
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.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Bae H, Lunetta KL, Murabito JM, et al. Genetic associations with age of menopause in familial longevity. Menopause. 2019;26(10):1204-1212. doi:10.1097/GME.0000000000001367.
http://www.ncbi.nlm.nih.gov/pubmed/31188284?dopt=Abstract
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.
http://www.ncbi.nlm.nih.gov/pubmed/30737336?dopt=Abstract
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.
Davies G, Armstrong N, Bis JC, 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.
http://www.ncbi.nlm.nih.gov/pubmed/25644384?dopt=Abstract
Bihlmeyer NA, Brody JA, Smith AV, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014;15:159. doi:10.1186/s12863-014-0159-7.
http://www.ncbi.nlm.nih.gov/pubmed/25543667?dopt=Abstract
Smith JA, Kho M, Zhao W, Yu M, Mitchell C, Faul JD. Genetic effects and gene-by-education interactions on episodic memory performance and decline in an aging population. Soc Sci Med. 2018:112039. doi:10.1016/j.socscimed.2018.11.019.
http://www.ncbi.nlm.nih.gov/pubmed/30449520?dopt=Abstract
Jonathan P. Beauchamp. 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
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. Am J Psychiatry. 2017;174(10):963-970. doi:10.1176/appi.ajp.2017.16111209.
http://www.ncbi.nlm.nih.gov/pubmed/28335623?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.
Hupfeld KE, Vaillancourt DE, Seidler RD. Genetic markers of dopaminergic transmission predict performance for older males but not females. Neurobiol 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
Runge SK. Genetic Moderators of Cognitive Decline in the Health and Retirement Study. Aging Studies. 2016;Ph.D.:121.
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
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)
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