HRS Bibliography

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Ware EB, Faul J. Genomic data measures and methods: a primer for social scientists. In: Ferraro KF, Carr D, eds. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Academic Press; 2021:49-62. doi:https://doi.org/10.1016/B978-0-12-815970-5.00004-8.
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
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.
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.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. 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.
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
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.
http://www.ncbi.nlm.nih.gov/pubmed/26079416?dopt=Abstract