HRS Bibliography

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Journal Article

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
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.
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.
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
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
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.
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
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
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.
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.
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
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
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.
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
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
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.
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
Zai CC, Fabbri C, Hosang GM, et al. Genome-wide association study of suicidal behaviour severity in mood disorders. World Journal of Biological Psychiatry. 2021;22(9):722-731. doi:10.1080/15622975.2021.1907711.
Van Winkle Z, Conley DC. Genome-Wide Heritability Estimates for Family Life Course Complexity. Demography. 2021;58((4):1575-1602. doi:10.1215/00703370-9373608.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. Forthcoming. doi:10.1038/s41380-022-01710-8.
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.
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.
Guo G, Wang L, Liu H, Randall T. Genomic assortative mating in marriages in the United States. PLoS One. 2014;9(11):e112322. doi:10.1371/journal.pone.0112322.
http://www.ncbi.nlm.nih.gov/pubmed/25384046?dopt=Abstract