HRS Bibliography

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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, 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=53 949). Molecular Psychiatry. 2015;20(2):183-192. doi:10.1038/mp.2014.188.
Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genetics. 2014;15:159. doi:10.1186/s12863-014-0159-7.
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. Forthcoming. 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. Proceedings of the National Academy of Sciences of the United States of America. 2016;113(28):7774-7779. doi:10.1073/pnas.1600398113.
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.
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. 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
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. Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2016;71(6):703-12. doi:10.1093/gerona/glv141.
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
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
Zhang C, Pierce BL. Genetic susceptibility to accelerated cognitive decline in the US Health and Retirement Study. Neurobiology of Aging. 2014;35(6):1512.e11-8. doi:10.1016/j.neurobiolaging.2013.12.021.
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. Nature Genetics. 2016;48(6):624-33. doi:10.1038/ng.3552.
Lu AT, Hannon E, Levine ME, et al. Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nature Communications. 2016;7:105-61. doi:10.1038/ncomms10561.
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
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.
Liu SY, Walter S, Marden JR, et al. Genetic vulnerability to diabetes and obesity: does education offset the risk?. Social Science & Medicine. 2015;127:150-8. doi:10.1016/j.socscimed.2014.09.009.
Mukherjee S, Walter S, Kauwe JSK, et al. Genetically predicted body mass index and Alzheimer's disease related phenotypes in three large samples: Mendelian randomization analyses. Alzheimer's and Dementia. 2015;11(12). doi:http://dx.doi.org/10.1016/j.jalz.2015.05.015.
Barakatt M. Genetics and geography in admixed populations. School of Computer Science. 2016;Master of Science.
Belsky DW, Moffitt TE, Caspi A. Genetics in population health science: strategies and opportunities. American Journal of Public Health. 2013;103 Suppl 1:S73-83. doi:10.2105/AJPH.2012.301139.
Yashin AI, Arbeev KG, Wu D, et al. Genetics of human longevity from incomplete data: New findings from the long life family study. Journals of Gerontology, Series A: Biological Sciences & Medical Sciences. 2018;73(11):1472-1481. doi:10.1093/gerona/gly057.
http://www.ncbi.nlm.nih.gov/pubmed/30299504?dopt=Abstract
Singer B. Genome-Phenome Linkages in Human Population Surveys, with Special Emphasis on the Health and Retirement Survey. Forum for Health Economics and Policy. 2011;14(3):Article 6.
Barban N, Jansen R, de Vlaming R, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet. 2016;48(12):1462-1472. doi:10.1038/ng.3698.
http://www.ncbi.nlm.nih.gov/pubmed/27798627?dopt=Abstract