HRS Bibliography

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Journal Article

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
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
Ye Y, Noche RB, Szejko N, et al. A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways. Geroscience. 2023. doi:10.1007/s11357-023-00771-z.
Jian X, Sofer T, Tarraf W, et al. Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos. Translational Psychiatry. 2020;10(1):245. doi:10.1038/s41398-020-00930-2.
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract
Dunn EC, Wiste A, Radmanesh F, et al. GENOME-WIDE ASSOCIATION STUDY (GWAS) AND GENOME-WIDE BY ENVIRONMENT INTERACTION STUDY (GWEIS) OF DEPRESSIVE SYMPTOMS IN AFRICAN AMERICAN AND HISPANIC/LATINA WOMEN. Depress Anxiety. 2016;33(4):265-80. doi:10.1002/da.22484.
http://www.ncbi.nlm.nih.gov/pubmed/27038408?dopt=Abstract
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.
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.
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Barban N, Jansen R, de Vlaming R, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet. 2016;48(12):1462-1472. doi:10.1038/ng.3698.
http://www.ncbi.nlm.nih.gov/pubmed/27798627?dopt=Abstract
Singer B. Genome-Phenome Linkages in Human Population Surveys, with Special Emphasis on the Health and Retirement Survey. Forum for Health Economics and Policy. 2011;14(3):6-6. doi:10.2202/1558-9544.1261.
Thompson MD, Pirkle CM, Youkhana F, Wu YYan. Gene–obesogenic environment interactions on body mass indices for older black and white men and women from the Health and Retirement Study. International Journal of Obesity. 2020. doi:10.1038/s41366-020-0589-4.
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
Belsky DW, Moffitt TE, Caspi A. Genetics in population health science: strategies and opportunities. Am J Public Health. 2013;103 Suppl 1:S73-83. doi:10.2105/AJPH.2012.301139.
http://www.ncbi.nlm.nih.gov/pubmed/23927511?dopt=Abstract
Das A. Genetically-predicted trait-BMI, everyday discrimination and life satisfaction among older U.S. adults. Adaptive Human Behavior and Physiology. 2022;8:179–201. doi:10.1007/s40750-022-00189-5.
Mukherjee S, Walter S, Kauwe JSK, et al. Genetically predicted body mass index and Alzheimer's disease-related phenotypes in three large samples: Mendelian randomization analyses. Alzheimers Dement. 2015;11(12):1439-1451. doi:10.1016/j.jalz.2015.05.015.
http://www.ncbi.nlm.nih.gov/pubmed/26079416?dopt=Abstract
Ojalehto E, Zhan Y, Jylhava J, Reynolds C, Aslan AKDahl, Karlsson I. Genetically and environmentally predicted obesity in relation to cardiovascular disease: a nationwide cohort study. The Lancet. 2023. doi:10.1016/j.eclinm.2023.101943.
Liu SY, Walter S, Marden JR, et al. Genetic vulnerability to diabetes and obesity: does education offset the risk?. Soc Sci Med. 2015;127:150-8. doi:10.1016/j.socscimed.2014.09.009.
http://www.ncbi.nlm.nih.gov/pubmed/25245452?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.
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TEm, Curran SP. Genetic variation in ALDH4A1 is associated with muscle health over the lifespan and across species. Elife. 2022;11:e74308. doi:10.7554/eLife.74308.
Ward ME, McMahon G, St Pourcain B, et al. Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children. Li Y, ed. PLoS One. 2014;9(7):e100248. doi:10.1371/journal.pone.0100248.
http://www.ncbi.nlm.nih.gov/pubmed/25032841?dopt=Abstract
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
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
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.
http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract
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