HRS Bibliography

Bibliography Search
Export 219 results:
Filters: First Letter Of Title is G  [Clear All Filters]

G

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.
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.
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.
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.
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. 2022. 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
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.
Timmers PRhj, Mounier N, Lall K, et al. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. Elife. 2019;8:e39856. doi:10.7554/eLife.39856.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Bianchi SM, McGarry K, Seltzer JA, Michigan Retirement Research Center. Geographic Dispersion and the Well-being of the Elderly. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2010.
Rehkopf D, Domingue BW, Cullen MR. The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States. Biodemography and Social Biology. 2016;62(1):126-42. doi:10.1080/19485565.2016.1141353.
http://www.ncbi.nlm.nih.gov/pubmed/27050037?dopt=Abstract
Nam TYob. Geographic Heterogeneity in Housing Market Risk and Portfolio Choice. Journal of Real Estate Finance and Economics. 2021;62(4):508-547. doi:10.1007/s11146-020-09762-9.
Zacher M, Brady S, Short SE. Geographic Patterns of Dementia in the United States: Variation by Place of Residence, Place of Birth, and Subpopulation. J Gerontol B Psychol Sci Soc Sci. 2023. doi:10.1093/geronb/gbad045.