HRS Bibliography

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Forthcoming

Patel PC, Rietveld CA. Effect of genetic propensity for obesity on income and wealth through educational attainment. Obesity (Silver Spring). Forthcoming. doi:10.1002/oby.22528.
http://www.ncbi.nlm.nih.gov/pubmed/31199061?dopt=Abstract
Schmitz LL, Gard A, Ware EB. Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics. Forthcoming. doi:10.1002/ajmg.b.32748.
http://www.ncbi.nlm.nih.gov/pubmed/31219244?dopt=Abstract
Das A. Genes, childhood trauma, and late life depressive symptoms. Journal of Aging and Health. Forthcoming. doi:10.1177/0898264319861001.
http://www.ncbi.nlm.nih.gov/pubmed/31288597?dopt=Abstract
Bae H, Lunetta KL, Murabito JM, et al. Genetic associations with age of menopause in familial longevity. Menopause. Forthcoming. doi:10.1097/GME.0000000000001367.
http://www.ncbi.nlm.nih.gov/pubmed/31188284?dopt=Abstract
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
Ware EB, Schmitz LL, Faul JD, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
Das A. Major discrimination experiences, education, and genes. Journal of Aging and Health. Forthcoming. doi:10.1177/0898264319851661.
http://www.ncbi.nlm.nih.gov/pubmed/31142169?dopt=Abstract
Niedzwiedz CL, Katikireddi SVittal, Pell JP, Smith DJ. Sex differences in the association between salivary telomere length and multimorbidity within the US Health & Retirement Study. Age and Ageing. Forthcoming. doi:10.1093/ageing/afz071.
Das A. Social integration, self-rated health . . . and genes?. Journal of Aging and Health. Forthcoming. doi:10.1177/0898264319831513.
http://www.ncbi.nlm.nih.gov/pubmed/30819014?dopt=Abstract

2019

Lutz MW, Casanova R, Saldana S, Kuchibhatla M, Plassman BL, Hayden KM. Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study. Neurobiology of Aging. 2019;80:173-186. doi:10.1016/j.neurobiolaging.2018.10.028.
http://www.ncbi.nlm.nih.gov/pubmed/31201950?dopt=Abstract
Liu Z, Chen X, Gill TM, Ma C, Crimmins EM, Levine ME. Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the Health and Retirement Study. PLoS Medicine. 2019;16(6):e1002827. doi:10.1371/journal.pmed.1002827.
http://www.ncbi.nlm.nih.gov/pubmed/31211779?dopt=Abstract
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Robinette JW, Boardman JD, Crimmins EM. Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology and Community Health. 2019;73(5):388-392. doi:10.1136/jech-2018-211373.
Fletcher JM. Environmental bottlenecks in children's genetic potential for adult socio-economic attainments: Evidence from a health shock. Population Studies (Camb). 2019;73(1):139-148. doi:10.1080/00324728.2018.1498533.
http://www.ncbi.nlm.nih.gov/pubmed/30350750?dopt=Abstract
Schmitz LL, Gard AM, Ware EB. Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2019;180(6):448 - 468. doi:10.1002/ajmg.v180.610.1002/ajmg.b.32748.
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.
http://www.ncbi.nlm.nih.gov/pubmed/31300074?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
Blue L, Gill L, Faul JD, Bradway K, Stapleton DC. Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study. Journal of Aging and Health. 2019;31(4):555-579. doi:10.1177/0898264317737893.
http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract

2018

Kröger H, Hoffmann R. The association between CVD-related biomarkers and mortality in the Health and Retirement Survey. Demographic Research. 2018;38:1933-2002. doi:10.4054/DemRes.2018.38.62.
Day FR, Ong KK, Perry JRB. Elucidating the genetic basis of social interaction and isolation. Nature Communications. 2018;9(1):1-6. doi:10.1038/s41467-018-04930-1.
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.
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
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
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
Yashin AI, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.