HRS Bibliography

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Harrati A, Schmitz LL. The Interaction of Health, Genetics, and Occupational Demands in SSDI Determinations. Cambridge, MA: National Bureau of Economic Research, Retirement and Disability Research Center; 2020.
Harrati A. Characterizing the Genetic Influences on Risk Aversion. Biodemography and Social Biology. 2014;60(2):185-198. doi:10.1080/19485565.2014.951986.
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.
Huibregtse BM, Newell-Stamper BL, Domingue BW, Boardman JD. Genes Related to Education Predict Frailty Among Older Adults in the United States. The Journals of Gerontology, Series B . 2021;76(1):173-183. doi:10.1093/geronb/gbz092.
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

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Karlsson I, 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/rs.3.rs-186197/v1.
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.
Kurtz A. Your Genes May Predict How Wealthy You Are. Forbes.
Kweon H, Burik C, Linnér RKarlsson, et al. Genetic Fortune: Winning or Losing Education, Income, and Health. Amsterdam: Tinbergen Institute; 2020.

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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.
http://www.ncbi.nlm.nih.gov/pubmed/28911009?dopt=Abstract
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.
Lin M-J. The Intergenerational Transmission of Educational Attainment Revisited: The Effects of Socioeconomic Background, Genetic Inheritance, and Cohort. Department of Sociology. 2017;Master of Arts.
Liu H. Social and Genetic Pathways in Multigenerational Transmission of Educational Attainment. American Sociological Review. 2018;83(2):278-304. doi:10.1177/0003122418759651.
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.
http://www.ncbi.nlm.nih.gov/pubmed/31211779?dopt=Abstract
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
Liu H, Guo G. Lifetime Socioeconomic Status, Historical Context, and Genetic Inheritance in Shaping Body Mass in Middle and Late Adulthood. American Sociological Review. 2015;80(4):705-737. doi:10.1177/0003122415590627.
Lu AT, Hannon E, Levine ME, et al. Genetic architecture of epigenetic and neuronal ageing rates in human brain regions. Nature Communications. 2017;8. doi:10.1038/ncomms15353.
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
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.

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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.
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
Mills MC, Barban N, Tropf FC. The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits. RSF: The Russell Sage Foundation Journal of the Social Sciences. 2018;4(4):122-136. doi:10.7758/rsf.2018.4.4.07.
Mirina A. Computational approaches for intelligent processing of biomedical data. 2015;3664552:111.

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Newell-Stamper BL. From Cells to Mice: Mutations Conferring Oxidative Stress-resistance on Longevity Phenotypes in the Mouse. Integrative Physiology. 2018;PhD:139.