HRS Bibliography

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2017

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.
Domingue BW, Liu H, Okbay A, Belsky DW. Genetic Heterogeneity in Depressive Symptoms Following the Death of a Spouse: Polygenic Score Analysis of the U.S. Health and Retirement Study. American Journal of Psychiatry. 2017;174(10):963-970. doi:10.1176/appi.ajp.2017.16111209.
Wehby GL, Domingue BW, Ullrich FA, Wolinsky FD. Genetic Predisposition to Obesity and Medicare Expenditures. The Journals of Gerontology: Series A. 2017;73:66-72. doi:10.1093/gerona/glx062.PDF icon glx062.pdf (148.77 KB)
Arpawong TE, Pendleton N, Mekli K, et al. Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort. PLoS One. 2017;12(8):e0182448. doi:10.1371/journal.pone.0182448.
http://www.ncbi.nlm.nih.gov/pubmed/28800603?dopt=Abstract
Gao J, Davis LK, Hart AB, et al. Genome-Wide Association Study of Loneliness Demonstrates a Role for Common Variation. Neuropsychopharmacology. 2017;42(4):811-821. doi:10.1038/npp.2016.197.
http://www.ncbi.nlm.nih.gov/pubmed/27629369?dopt=Abstract
Tanaka T, Dutta A, Pilling LC, et al. Genome-wide Association Study of Parental Life Span. J Gerontol A Biol Sci Med Sci. 2017;72(10):1407-1410. doi:10.1093/gerona/glw206.
http://www.ncbi.nlm.nih.gov/pubmed/27816938?dopt=Abstract
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Pappas C, Andel R, Infurna FJ, Seetharaman S. Glycated haemoglobin (HbA1c), diabetes and trajectories of change in episodic memory performance. J Epidemiol Community Health. 2017;71(2):115-120. doi:10.1136/jech-2016-207588.
http://www.ncbi.nlm.nih.gov/pubmed/27440936?dopt=Abstract
Kelley-Moore J, Huang W. The "Good Times" Cohort in Later-Life. Research on Aging. 2017;39(4):526-548. doi:10.1177/0164027516655582.
Chen T-Y, Lee S, Buxton OM. A Greater Extent of Insomnia Symptoms and Physician-Recommended Sleep Medication Use Predict Fall Risk in Community-Dwelling Older Adults. Sleep. 2017;40(11). doi:10.1093/sleep/zsx142.
http://www.ncbi.nlm.nih.gov/pubmed/29029240?dopt=Abstract
National Institute on Aging. Growing Older in America: The Health and Retirement Study. 2017.
Belbase A, Sanzenbacher GT. Guardianship and the Representative Payee Program. 2017:2-12.

2018

Niles AN, Smirnova M, Lin JE, O'Donovan A. Gender differences in longitudinal relationships between depression and anxiety symptoms and inflammation in the Health and Retirement Study. Psychoneuroendocrinology. 2018;95:149-157. doi:10.1016/j.psyneuen.2018.05.035.
http://www.ncbi.nlm.nih.gov/pubmed/29864671?dopt=Abstract
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
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.
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
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Zabaneh D, Krapohl E, Gaspar HA, et al. A genome-wide association study for extremely high intelligence. Molecular Psychiatry. 2018;23(5):1226 - 1232. doi:10.1038/mp.2017.121.
Mekli K, Phillips DF, Arpawong TE, et al. Genome-wide scan of depressive symptomatology in two representative cohorts in the United States and the United Kingdom. Journal of Psychiatric Research. 2018;100:63-70. doi:10.1016/j.jpsychires.2018.01.016.
Wang S. Grandchild Care and Marital Quality in Later Life. Philosophy. 2018;PhD:185.
Asquith B. Grandchildren and Grandparents’ Labor Force Attachment. In: American Economic Association. American Economic Association. NBER; 2018.