HRS Bibliography

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Book Chapter

Ware EB, Faul JD. Genomic data measures and methods: a primer for social scientists. In: Ferraro KF, Carr D, eds. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Academic Press; 2021:49-62. doi:

Conference Proceedings

Yu PP, Shockley KM. Genetic approaches in studying work-family conflict and enrichment. Society for Industrial and Organizational Psychology. 2016.

Journal Article

Dutta A, Henley W, Robine J-M, et al. Aging children of long-lived parents experience slower cognitive decline. Alzheimer's and Dementia. 2014;10(5):S315-S322. doi:10.1016/j.jalz.2013.07.002.
Mez J, Marden JR, Mukherjee S, et al. Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2017;8:188-195. doi:10.1016/j.dadm.2017.07.002.
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.
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.
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 EM, 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.
Harrati A. Characterizing the Genetic Influences on Risk Aversion. Biodemography and Social Biology. 2014;60(2):185-198. doi:10.1080/19485565.2014.951986.
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.
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.
Rehkopf D, Rosero-Bixby L, Dow WH. A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:255-277. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s255.
Rietveld CA, Slob EAW, A. Thurik R. A decade of research on the genetics of entrepreneurship: a review and view ahead. Small Business Economics. 2020. doi:10.1007/s11187-020-00349-5.
Robinette JW, Boardman JD, Crimmins EM. Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology & Community Health. 2019;73(5):388–392. doi:10.1136/jech-2018-211373.
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.
Karlsson IK, Gatz M, Arpawong TE, Aslan AKDahl, Reynolds CA. The dynamic association between body mass index and cognition from midlife through late-life, and the effect of sex and genetic influences. Scientific Reports. 2021;11(1):7206. doi:10.21203/
Patel PC, Rietveld CA. Effect of genetic propensity for obesity on income and wealth through educational attainment. Obesity (Silver Spring). 2019. doi:10.1002/oby.22528.
Schmitz LL, Conley DC. The Effect of Vietnam-Era Conscription and Genetic Potential for Educational Attainment on Schooling Outcomes. Economics of Education Review. 2017;61:85-97. doi:10.1016/j.econedurev.2017.10.001.
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.
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.
Faul JD, Mitchell CM, Zhao W. Estimating Telomere Length Heritability in an Unrelated Sample of Adults: Is Heritability of Telomere Length Modified by Life Course Socioeconomic Status?. Biodemography and Social Biology. 2016;62(1):73-86. doi:10.1080/19485565.2015.1120645.
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. doi:10.1002/ajmg.b.32748.