HRS Bibliography

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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.
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.
Das A. Genes, childhood trauma, and late life depressive symptoms. Journal of Aging and Health. Forthcoming. doi:10.1177/0898264319861001.
Bae H, Lunetta KL, Murabito JM, et al. Genetic associations with age of menopause in familial longevity. Menopause. Forthcoming. doi:10.1097/GME.0000000000001367.
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.
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.
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.


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.
Ng CD, Weiss J. Association of genetic and behavioral characteristics with the onset of diabetes. BMC Public Health. 2019;19(1):1297.
Liu Z, Chen X, Gill TM, Ma C, Crimmins E, Levine ME. ASSOCIATIONS OF GENETICS AND LIFE COURSE CIRCUMSTANCES WITH A NOVEL AGING MEASURE THAT CAPTURES MORTALITY RISK. Innovation in Aging. 2019;3:S322-S323. doi:10.1093/geroni/igz038.1177.
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.
Li Z-H, Zhong W-F, Bin Lv Y-, et al. Associations of plasma high-sensitivity C-reactive protein concentrations with all-cause and cause-specific mortality among middle-aged and elderly individuals. Immunity & Ageing. 2019;16:28. doi:10.1186/s12979-019-0168-5.
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.
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.
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.
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.
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.
Das A. Transpersonal genetic effects among older U.S. couples: A longitudinal study. The Journals of Gerontology: Series B. 2019. doi:10.1093/geronb/gbz151.