HRS Bibliography

Bibliography Search
Export 218 results:
Filters: First Letter Of Title is G  [Clear All Filters]

2016

Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Rietveld CA, Webbink D. On the genetic bias of the quarter of birth instrument. Economics and Human Biology. 2016;21:137-146. doi:10.1016/j.ehb.2016.01.002.
Beauchamp JP. Genetic evidence for natural selection in humans in the contemporary United States. Proc Natl Acad Sci U S A. 2016;113(28):7774-9. doi:10.1073/pnas.1600398113.
http://www.ncbi.nlm.nih.gov/pubmed/27402742?dopt=Abstract
Runge SK. Genetic Moderators of Cognitive Decline in the Health and Retirement Study. Aging Studies. 2016;Ph.D.:121.
Levine ME, Crimmins EM. A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans. J Gerontol A Biol Sci Med Sci. 2016;71(6):703-12. doi:10.1093/gerona/glv141.
http://www.ncbi.nlm.nih.gov/pubmed/26355015?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
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
Barakatt M. Genetics and geography in admixed populations. School of Computer Science. 2016;Master of Science.
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
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
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
Staudinger UM, Finkelstein R, Calvo E, Sivaramakrishnan K. A Global View on the Effects of Work on Health in Later Life. Gerontologist. 2016;56 Suppl 2:S281-92. doi:10.1093/geront/gnw032.
http://www.ncbi.nlm.nih.gov/pubmed/26994267?dopt=Abstract
Ondrich JI, Falevich A. The Great Recession, Housing Wealth, and the Retirement Decisions of Older Workers. Public Finance Review. 2016;44(1):109-131. doi:10.1177/1091142114551600.
Matteini AM, Tanaka T, Karasik D, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract

2015

Mudrazija S, Thomeer MBeth, Angel JL. Gender Differences in Institutional Long-Term Care Transitions. Womens Health Issues. 2015;25(5):441-9. doi:10.1016/j.whi.2015.04.010.
http://www.ncbi.nlm.nih.gov/pubmed/26123639?dopt=Abstract
Lyu J. Gender Differences in the Association between Childhood Socioeconomic Status and Cognitive Function in Later Life. Journal of Geriatrics. 2015;2015(896876). doi:10.1155/2015/896876.
Davies G, Armstrong N, Joshua C. Bis, Ibrahim-Verbaas CA, et al. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry. 2015;20(2):183-92. doi:10.1038/mp.2014.188.
http://www.ncbi.nlm.nih.gov/pubmed/25644384?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
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
Singer AE. Go Gentle into That Good Night The Past, Present, and Future of End-of-Life Care. 2015;3663332:391.
Ho C. Grandchild care, intergenerational transfers, and grandparents labor supply. Review of Economics of the Household. 2015;13:359-384. doi:10.1007/s11150-013-9221-x.
Gustman AL, Steinmeier TL, Tabatabai N. The Great Recession, Retirement and Related Outcomes. Cambridge, MA, National Bureau of Economic Research; 2015.
Rippon I, Zaninotto P, Steptoe A. Greater Perceived Age Discrimination in England than the United States: Results from HRS and ELSA. J Gerontol B Psychol Sci Soc Sci. 2015;70(6):925-33. doi:10.1093/geronb/gbv040.
http://www.ncbi.nlm.nih.gov/pubmed/26224759?dopt=Abstract