HRS Bibliography

Bibliography Search
Export 213 results:
Filters: First Letter Of Title is G  [Clear All Filters]


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.
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.
Vasilopoulou C, McDaid-McCloskey SL, McCluskey G, Duguez S, Morris AP, Duddy W. Genome-Wide Gene-Set Analysis Identifies Molecular Mechanisms Associated with ALS. Int J Mol Sci. 2023;24(4). doi:10.3390/ijms24044021.
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.
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.
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.
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.
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.
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.
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.
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.
Barakatt M. Genetics and geography in admixed populations. School of Computer Science. 2016;Master of Science.
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.
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. Forthcoming. 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.
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.