HRS Bibliography

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Book Chapter

Ware EB, Faul JD. 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.

Journal Article

Crimmins EM, Thyagarajan B, Levine ME, Weir DR, Faul JD. Associations of Age, Sex, Race/Ethnicity and Education with 13 Epigenetic Clocks in a Nationally Representative US Sample: The Health and Retirement Study. The Journals of Gerontology: Series A . 2021;76(6):1117-1123. doi:10.1093/gerona/glab016.
McGrath RP, Snih SAl, Markides KS, et al. The burden of health conditions across race and ethnicity for aging Americans: Disability-adjusted life years. Medicine . 2019;98(46):e17964. doi:10.1097/MD.0000000000017964.
Sonnega A, Faul JD, Ofstedal MBeth, Langa KM, Phillips JWR, Weir DR. Cohort Profile: the Health and Retirement Study (HRS). Int J Epidemiol. 2014;43(2):576-85. doi:10.1093/ije/dyu067.
http://www.ncbi.nlm.nih.gov/pubmed/24671021?dopt=Abstract
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Vivek S, Thyagarajan B, Nelson H, Prizment A, Crimmins EM, Faul JD. COMBINED EFFECT OF CMV SEROPOSITIVITY AND SYSTEMIC INFLAMMATION ON DEMENTIA PREVALENCE IN CANCER SURVIVORS. Innovation in Aging. 2019;3:S461-S461. doi:10.1093/geroni/igz038.1724.
Langa KM, Larson EB, Crimmins EM, et al. A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med. 2017;177(1):51-58. doi:10.1001/jamainternmed.2016.6807.
http://www.ncbi.nlm.nih.gov/pubmed/27893041?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ware EB, Faul JD, Mitchell CM, Bakulski KM. Considering the APOE locus in Alzheimer's disease polygenic scores in the Health and Retirement Study: a longitudinal panel study. BMC Medical Genomics. 2020;13(1):164. doi:10.1186/s12920-020-00815-9.
Bakulski KM, Vadari HS, Faul JD, et al. Cumulative Genetic Risk and APOE ε4 Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. Neurology Genetics. 2021;7(2):e576. doi:10.1212/NXG.0000000000000576.
Ajnakina O, Agbedjro D, McCammon RJ, et al. Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation. BMC Medical Research Methodology. 2021;21(1):8. doi:10.1186/s12874-020-01204-7.
Joshi PK, Esko T, Mattsson H, et al. Directional dominance on stature and cognition in diverse human populations. Nature. 2015;523(7561):459-62. doi:10.1038/nature14618.
http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract
Crimmins EM, Zhang YS, Kim JKi, et al. Dried blood spots: Effects of less than optimal collection, shipping time, heat, and humidity. American Journal of Human Biology. 2020;32(5):e23390. doi:10.1002/ajhb.23390.
Faul JD, Mitchell CM, Zhao W. Estimating Telomere Length Heritability in an Unrelated Sample of Adults: Is Heritability of Telomere Length Modified by Life Course Socioeconomic Status?. Biodemography and Social Biology. 2016;62(1):73-86. doi:10.1080/19485565.2015.1120645.
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.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
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
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.
http://www.ncbi.nlm.nih.gov/pubmed/25543667?dopt=Abstract
Smith JA, Kho M, Zhao W, Yu M, Mitchell CM, Faul JD. Genetic effects and gene-by-education interactions on episodic memory performance and decline in an aging population. Social Science & Medicine. 2021;271:112039. doi:10.1016/j.socscimed.2018.11.019.
http://www.ncbi.nlm.nih.gov/pubmed/30449520?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
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
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
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
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
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.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract