HRS Bibliography

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Journal Article

Walter S, Mejía-Guevara I, Estrada K, Liu SY, M. Glymour M. Association of a Genetic Risk Score With Body Mass Index Across Different Birth Cohorts. JAMA. 2016;316(1):63-9. doi:10.1001/jama.2016.8729.
http://www.ncbi.nlm.nih.gov/pubmed/27380344?dopt=Abstract
Liu M, Jiang Y, Wedow R, et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics. 2019;51(2):237-244. doi:10.1038/s41588-018-0307-5.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.
Zhang C, Pierce BL. Genetic susceptibility to accelerated cognitive decline in the US Health and Retirement Study. Neurobiol Aging. 2014;35(6):1512.e11-8. doi:10.1016/j.neurobiolaging.2013.12.021.
http://www.ncbi.nlm.nih.gov/pubmed/24468470?dopt=Abstract
Lu AT, Hannon E, Levine ME, et al. Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nat Commun. 2016;7:10561. doi:10.1038/ncomms10561.
http://www.ncbi.nlm.nih.gov/pubmed/26830004?dopt=Abstract
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TE, Curran SP. Genetic variation in ALDH4A1 predicts muscle health over the lifespan and across species. Elife. 2022;11(e74308). doi:10.7554/eLife.74308.
Pare G, Mao S, Deng WQ. A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics. Sci Rep. 2016;6:27644. doi:10.1038/srep27644.
http://www.ncbi.nlm.nih.gov/pubmed/27273519?dopt=Abstract
Levine ME, Crimmins EM, Prescott CA, Phillips DF, Arpawong TE, Lee J. A polygenic risk score associated with measures of depressive symptoms among older adults. Biodemography Soc Biol. 2014;60(2):199-211. doi:10.1080/19485565.2014.952705.
http://www.ncbi.nlm.nih.gov/pubmed/25343367?dopt=Abstract

Web Article

Communications USCLeonard Da. USC Scientists Identify Genetic Variants Linked to Mobility Changes in Aging.