HRS Bibliography

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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. Alzheimer's and Dementia. 2015;11(12). doi:http://dx.doi.org/10.1016/j.jalz.2015.05.015.
Barakatt M. Genetics and geography in admixed populations. School of Computer Science. 2016;Master of Science.
Belsky DW, Moffitt TE, Caspi A. Genetics in population health science: strategies and opportunities. American Journal of Public Health. 2013;103 Suppl 1:S73-83. doi:10.2105/AJPH.2012.301139.
Yashin AI, 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
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):Article 6.
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. American Journal of Human Genetics. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
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. Depression & Anxiety. 2016;33(4):265-80. doi:10.1002/da.22484.
Okbay A, Jonathan P. Beauchamp, Fontana MA, Chen G-B, 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
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.
Tanaka T, Dutta A, Pilling LC, et al. Genome-wide Association Study of Parental Life Span. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2017;72(10):1407-1410. doi:10.1093/gerona/glw206.
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.
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 KM, Seltzer JA, Michigan Retirement Research Center. Geographic Dispersion and the Well-being of the Elderly. The University of Michigan, Michigan Retirement Research Center; 2010.
Rehkopf DH, 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
Chen LM, Norton EC, Langa KM, Le S, Epstein AM. Geographic Variation in Out-of-Pocket Expenditures of Elderly Medicare Beneficiaries. Journal of the American Geriatrics Society. 2014;62(6):1097-1104. doi:10.1111/jgs.12834.
Cigolle CT, Langa KM, Kabeto MU, Tian Z, Blaum CS. Geriatric Conditions and Disability: The Health and Retirement Study. Annals of Internal Medicine. 2007;147(3):156-164.
Cigolle CT, Lee PG, Langa KM, Lee Y-Y, Tian Z, Blaum CS. Geriatric conditions develop in middle-aged adults with diabetes. J Gen Intern Med. 2011;26(3):272-9. doi:10.1007/s11606-010-1510-y.
http://www.ncbi.nlm.nih.gov/pubmed/20878496?dopt=Abstract
Shen H-W, Perry TE. Giving Back and Staying Put: Volunteering as a Stabilizing Force in Relocation. Journal of Housing for the Elderly. 2014;28(3):310-328. doi:10.1080/02763893.2014.930368.
White-Means SI, Hong G-S. Giving Incentives of Adult Children Who Care for Disabled Parents. Journal of Consumer Affairs. 2001;35(2):364-389.
Curl AL, Stowe JD, Cooney TM, Proulx CM. Giving Up the Keys: How Driving Cessation Affects Engagement in Later Life. Gerontologist. 2014;54(3):423-433. doi:10.1093/geront/gnt037.
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.
Pappas C, Andel R, Infurna FJ, Seetharaman S. Glycated haemoglobin (HbA1c), diabetes and trajectories of change in episodic memory performance. Journal of Epidemiology & Community Health. 2017;71(2):115-120. doi:10.1136/jech-2016-207588.