HRS Bibliography

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Kulminski AM. Genetic Association Studies of Age-Related Traits: New Perspectives. Advances in Geriatric Medicine and Research. 2021;3(1):e210003. doi:https://doi.org/10.20900/agmr20210003.
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
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.
Yu PP, Shockley KM. Genetic approaches in studying work-family conflict and enrichment. Society for Industrial and Organizational Psychology. 2016.
Kulminski AM, Shu L, Loika Y, et al. Genetic and regulatory architecture of Alzheimer's disease in the APOE region. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2020;12:e12008. doi:https://doi.org/10.1002/dad2.12008.
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.
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
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.
Das A. Genes-in-Dyads: A Study of Relationship Quality. Research on Aging. 2020. doi:10.1177/0164027520920024.
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.
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.
Papageorge N, Thom K. Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study. Journal of the European Economic Association. 2020;18(3):1351 - 1399. doi:10.1093/jeea/jvz072.
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.
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
Shapiro A, R Remle C. Generational jeopardy? Parents' marital transitions and the provision of financial transfers to adult children. J Gerontol B Psychol Sci Soc Sci. 2011;66(1):99-108. doi:10.1093/geronb/gbq010.
http://www.ncbi.nlm.nih.gov/pubmed/20197303?dopt=Abstract
M. Islam A, Chowdhury RI. A generalized right truncated bivariate Poisson regression model with applications to health data. PLoS One. 2017;12(6):e0178153. doi:10.1371/journal.pone.0178153.
http://www.ncbi.nlm.nih.gov/pubmed/28586344?dopt=Abstract
Lazar DM, Begum M. GENERALIZED LINEAR MODELING OF A PANEL MOBILITY INDEX WITH CORRELATED MULTIVARIATE CATEGORICAL RESPONSES. Journal of Statistical Research. 2020;54(2):207-221. doi:10.47302/jsr.2020540207.
Ejima K, Pavela G, Li P, Allison DB. Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index. International Journal of Obesity. 2018;42(4):930-933. doi:10.1038/ijo.2017.262.
Maronge JM, Tao R, Schildcrout JS, Rathouz PJ. Generalized case-control sampling under generalized linear models. Biometrics. Forthcoming. doi:10.1111/biom.13571.
M. Islam A, Alzaid AA, Chowdhury RI, Sultan KS. A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 2013;40:1064-1075. doi:10.1080/02664763.2013.780156.
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.
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
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
Park S. Gene by Environment Interactions on Late-Life Cognitive Functioning: Integrative Roles of Polygenic Score, Early Life Trauma, and Psychological Resilience. 2021.
Chi DL, Tucker-Seeley RD. Gender-stratified models to examine the relationship between financial hardship and self-reported oral health for older US men and women. American journal of public health. 2013;103(8):1507-15. doi:10.2105/ajph.2012.301145.