HRS Bibliography

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B

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
Barcelo H, Faul JD, Crimmins EM, Thyagarajan B. A Practical Cryopreservation and Staining Protocol for Immunophenotyping in Population Studies. Current Protocols in Cytometry. 2018;84(1):e35. doi:10.1002/cpcy.35.
http://www.ncbi.nlm.nih.gov/pubmed/30040214?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
Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genetics. 2014;15:159. doi:10.1186/s12863-014-0159-7.
Blue L, Gill L, Faul JD, Bradway K, Stapleton DC. Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study. Journal of Aging and Health. 2019;31(4):555-579. doi:10.1177/0898264317737893.
http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract
Broer L, Aron S. Buchman, Deelen J, Smith JA, et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2015;70(1):110-8. doi:10.1093/gerona/glu166.

C

Crimmins EM, Kim JKi, McCreath H, Faul JD, Weir DR, Seeman TE. Validation of Blood-Based Assays Using Dried Blood Spots for Use in Large Population Studies. Biodemography and Social Biology. 2014;60(1):38 - 48. doi:10.1080/19485565.2014.901885.
Crimmins EM, Faul JD, Thyagarajan B, Weir DR. Venous Blood Collection and Assay Protocol in the 2016 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (1.55 MB)
Crimmins EM, Faul JD, Kim JKi, Weir DR. Documentation of Biomarkers in the 2010 and 2012 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, University of Michigan; 2015:15.PDF icon Download PDF (198.27 KB)
Crimmins EM, Faul JD, Kim JKi, Weir DR. Documentation of Blood-Based Biomarkers in the 2014 Health and Retirement Study. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (247.04 KB)
Crimmins EM, Faul JD, Kim JKi, et al. Documentation of Biomarkers in the 2006 and 2008 Health and Retirement Study. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (364.89 KB)

F

Faul JD. The Effect of Lifecourse Socioeconomic Position and Health on Trajectories of Cognitive Function in Older Adults. 2008.
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.
Faul JD, Smith J. Health and Retirement Study: Genetic Data Consortia Collaboration. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (180.32 KB)
Fisher GG, Hassan H, Faul JD, Rogers W, Weir DR. Health and Retirement Study Imputation of Cognitive Functioning Measures: 1992-2014. Ann Arbor, Michigan: Survey Research Center, University of Michigan; 2017.PDF icon Download PDF (321.27 KB)
Fisher GG, Faul JD, Weir DR, Wallace RB. Documentation of Chronic Disease Measures in the Health and Retirement Study. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2005.PDF icon Download PDF (460.3 KB)
Fisher GG, Stachowski A, Infurna FJ, Faul JD, Grosch JW, Tetrick LE. Mental Work Demands, Retirement, and Longitudinal Trajectories of Cognitive Functioning. Journal of Occupational Health Psychology. 2014;19(2):231-242. doi:10.1037/a0035724.
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.

J

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