HRS Bibliography

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Journal Article

Song J, Chang RD, Manheim LM, Dunlop DD. Gender Differences across Race/Ethnicity in Use of Health Care among Medicare-Aged Americans. Journal of Women's Health. 2006;15(10):1205-1213.
Kühn M, Díaz-Venegas C, Jasilionis D, Oksuzyan A. Gender differences in health in Havana versus in Mexico City and in the US Hispanic population. European Journal of Ageing. 2020. doi:10.1007/s10433-020-00563-w.
Glauber R, Day MD. Gender, Spousal Caregiving, and Depression: Does Paid Work Matter?. Journal of Marriage and Family. 2018;80(2):537-554. doi:10.1111/jomf.2018.80.issue-210.1111/jomf.12446.
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Das A. Genes, childhood trauma, and late life depressive symptoms. Journal of Aging and Health. 2019. doi:10.1177/0898264319861001.
http://www.ncbi.nlm.nih.gov/pubmed/31288597?dopt=Abstract
Das A. Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States. Social Science & Medicine. 2019;242:112586. doi:doi.org/10.1016/j.socscimed.2019.112586.
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.
Das A. Genes-in-Dyads: A Study of Relationship Quality. Research on Aging. 2020. doi:10.1177/0164027520920024.
Oster E, Shoulson I, Quaid K, E. Dorsey R. Genetic adverse selection: Evidence from long-term care insurance and Huntington disease. Journal of Public Economics. 2010;94(11-12):1041-1050. doi:https://doi.org/10.1016/j.jpubeco.2010.06.009.
Domingue BW, Fletcher JM, Conley DC, Boardman JD. Genetic and educational assortative mating among US adults. Proc Natl Acad Sci U S A. 2014;111(22):7996-8000. doi:10.1073/pnas.1321426111.
http://www.ncbi.nlm.nih.gov/pubmed/24843128?dopt=Abstract
Das A. Genetic and Educational Correlates of Religious Belief. Adaptive Human Behavior and Physiology. 2020;6(1):119 - 136. doi:10.1007/s40750-020-00131-7.
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract