HRS Bibliography

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2019

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.
http://www.ncbi.nlm.nih.gov/pubmed/31219244?dopt=Abstract
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.
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
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.
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
Bae H, Lunetta KL, Murabito JM, et al. Genetic associations with age of menopause in familial longevity. Menopause. 2019. doi:10.1097/GME.0000000000001367.
http://www.ncbi.nlm.nih.gov/pubmed/31188284?dopt=Abstract
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.
http://www.ncbi.nlm.nih.gov/pubmed/30737336?dopt=Abstract
Blue L, Gill L, Faul JD, Bradway K, Stapleton D. 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.
http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract
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. 2019;48(5): 703–710. doi:10.1093/ageing/afz071.
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.

2018

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.
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.
Newell-Stamper BL. From Cells to Mice: Mutations Conferring Oxidative Stress-resistance on Longevity Phenotypes in the Mouse. Integrative Physiology. 2018;PhD:139.
Papageorge N, Thom K. Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study. Cambridge, MA: National Bureau of Economic Research; 2018. doi:10.3386/w25114.
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
Wehby GL, Domingue BW, Wolinsky FD. Genetic risks for chronic conditions: Implications for long-term wellbeing. Journals of Gerontology, Series A: Biological Sciences & Medical Sciences. 2018;73(4):477-483. doi:10.1093/gerona/glx154.
http://www.ncbi.nlm.nih.gov/pubmed/28958056?dopt=Abstract
Yashin A, Arbeev KG, Wu D, et al. Genetics of human longevity from incomplete data: New findings from the long life family study. Journals of Gerontology, Series A: Biological Sciences & Medical Sciences. 2018;73(11):1472-1481. doi:10.1093/gerona/gly057.
http://www.ncbi.nlm.nih.gov/pubmed/30299504?dopt=Abstract
Yashin A, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.
Wu Y, Zeng J, Zhang F, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03371-0.
Van Dam A. It’s better to be born rich than gifted. The Washington Post. https://www.washingtonpost.com/business/2018/10/09/its-better-be-born-rich-than-talented/?noredirect=on&utm_term=.e6c0cc49f545. Published 2018.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
Qiao Z, Powell J. MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes. 2018;9(2):53. doi:10.3390/genes9010053.
Primes G, Fieder M. Real-life helping behaviours in North America: A genome-wide association approach. PLoS One. 2018;13(1):e0190950. doi:10.1371/journal.pone.0190950.
http://www.ncbi.nlm.nih.gov/pubmed/29324852?dopt=Abstract
Wolf DA, Middleton FA. A role for genes in the ‘caregiver stress process’?. Translational Psychiatry. 2018;8(1). doi:10.1038/s41398-018-0275-7.