HRS Bibliography

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Journal Article

Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
Liu C, Kraja AT, Smith JA, Morrison AC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48(10):1162-70. doi:10.1038/ng.3660.
Heisler MM, Faul JD, Hayward RA, Langa KM, Blaum CS, Weir DR. Mechanisms for racial and ethnic disparities in glycemic control in middle-aged and older Americans in the health and retirement study. Arch Intern Med. 2007;167(17):1853-60. doi:10.1001/archinte.167.17.1853.
Cole SW, Levine ME, Arevalo JMG, Ma J, Weir DR, Crimmins EM. Loneliness, eudaimonia, and the human conserved transcriptional response to adversity. Psychoneuroendocrinology. 2015;62:11-7. doi:10.1016/j.psyneuen.2015.07.001.
Sakshaug JW, Couper MP, Ofstedal MBeth, Weir DR. Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research. 2012;41(4):535-569. doi:10.1177/0049124112460381.
Puterman E, Gemmill A, Karasek D, et al. Lifespan adversity and later adulthood telomere length in the nationally representative US Health and Retirement Study. Proc Natl Acad Sci U S A. 2016;113(42):E6335-E6342. doi:10.1073/pnas.1525602113.
Day FR, Ruth KS, Thompson DJ, et al. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat Genet. 2015;47(11):1294-303. doi:10.1038/ng.3412.
Langa KM, Vijan S, Hayward RA, et al. Informal caregiving for diabetes and diabetic complications among elderly americans. J Gerontol B Psychol Sci Soc Sci. 2002;57(3):S177-86. doi:10.1093/geronb/57.3.s177.
Plassman BL, Langa KM, McCammon RJ, et al. Incidence of dementia and cognitive impairment, not dementia in the United States. Annals of Neurology. 2011;70(3):418-426. doi:10.1002/ana.22362.
Sakshaug JW, Weir DR, Nicholas LHersch. Identifying diabetics in Medicare claims and survey data: implications for health services research. BMC Health Serv Res. 2014;14:150. doi:10.1186/1472-6963-14-150.
Ware EB, Schmitz LL, Faul JD, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
Levy HG, Ubel PA, Dillard AJ, Weir DR, Fagerlin A. Health numeracy: the importance of domain in assessing numeracy. Med Decis Making. 2014;34(1):107-15. doi:10.1177/0272989X13493144.
Langa KM, Ryan LH, McCammon RJ, et al. The Health and Retirement Study Harmonized Cognitive Assessment Protocol Project: Study Design and Methods. Neuroepidemiology. 2020. doi:10.1159/000503004.
Sonnega A, Weir DR. The Health and Retirement Study: A Public Data Resource for Research on Aging. Open Health Data. 2014;2(1). doi:10.5334/
Broer L, Buchman AS, Deelen J, et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. J Gerontol A Biol Sci Med Sci. 2015;70(1):110-8. doi:10.1093/gerona/glu166.
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
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.
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.
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.
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.
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.
Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014;15:159. doi:10.1186/s12863-014-0159-7.
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.