HRS Bibliography

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D

Crimmins EM, Faul J, Kim JK, 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)
Crimmins EM, Faul J, Kim JK, 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 J, Kim JK, 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)
Fisher GG, Faul J, 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)
Crimmins E, Faul J, Kim JK, Weir DR. Documentation of lnterleukin-6 (IL-6) Assays from Dried Blood Spots 2014 and 2016. Ann Arbor, MI: Institute for Social Research, University of Michigan; 2023.PDF icon Download PDF (479.07 KB)
Crimmins EM, Zhang YS, Kim JK, 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.

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Faul J, Ware EB, Kabeto MU, Fisher J, Langa KM. The Effect of Childhood Socioeconomic Position and Social Mobility on Cognitive Function and Change Among Older Adults: A Comparison Between the United States and England. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S51-S63. doi:10.1093/geronb/gbaa138.
Thyagarajan B, Barcelo H, Crimmins EM, et al. Effect of delayed cell processing and cryopreservation on immunophenotyping in multicenter population studies. Journal of Immunological Methods. 2018;463:61-70. doi:10.1016/j.jim.2018.09.007.
Faul J. The Effect of Lifecourse Socioeconomic Position and Health on Trajectories of Cognitive Function in Older Adults. 2008.
Zhu Y, Olchanski N, Freund KM, et al. End-of-life burdensome interventions among Medicare fee-for-service beneficiaries with no dementia, non-advanced dementia, and advanced dementia. Alzheimer's & Dementia. 2022;18(S9):e063807. doi:10.1002/alz.063807.
Zhu Y, Olchanski N, Freund KM, et al. End-of-life burdensome interventions among Medicare fee-for-service beneficiaries with no dementia, non-advanced dementia, and advanced dementia. Alzheimer's & Dementia . 2022;18(S9):e063807. doi:10.1002/alz.063807.
Faul J, Kim JK, Levine ME, Thyagarajan B, Weir DR, Crimmins EM. Epigenetic-based age acceleration in a representative sample of older Americans: Associations with aging-related morbidity and mortality. PNAS. 2023;120(9):e2215840120. doi:10.1073/pnas.2215840120.
Fisher J, Meier H, Faul J, Mitchell C, Crimmins EM, Thyagarajan B. Epigenome Wide Associations of Smoking Behavior in the Health and Retirement Study. Innovation in Aging. 2021;5(Suppl _1):668. doi:https://doi.org/10.1093/geroni/igab046.2503.
Faul J, Mitchell C, 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.
Ramasubramanian R, Meier HCS, Vivek S, et al. Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study. Immunity & Ageing. 2022;19(1):33. doi:10.1186/s12979-022-00290-z.
Xu H, Nguyen K, Gaynor BJ, et al. Exome Array Analysis of 9721 Ischemic Stroke Cases from the SiGN Consortium. Genes . 2022;14(1):61. doi:10.3390/genes14010061.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.

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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
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
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 C, Faul J. 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