HRS Bibliography

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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)
Ware EB, Schmitz LL, Faul JD, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
Ware EB, Schmitz LL, Faul JD. HRS Polygenic Scores: 2006-2010 Genetic Data. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (599.95 KB)

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Zhao W, Ware EB, He Z, Kardia SLR, Faul JD. Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting. International Journal of Environmental Research and Public Health. 2017;14(10):1153. doi:10.3390/ijerph14101153.

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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.
http://www.ncbi.nlm.nih.gov/pubmed/26414677?dopt=Abstract

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Heisler M, 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. Archives of Internal Medicine. 2007;167(17):1853-1860.
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.
Liu C, Kraja AT, Smith JA, Morrison A, 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.

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Weiss A, Baselmans BML, Hofer E, et al. Personality Polygenes, Positive Affect, and Life Satisfaction. Twin Res Hum Genet. 2016;19(5):407-17. doi:10.1017/thg.2016.65.
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
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
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract

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Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract

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Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychological Medicine. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.

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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)