HRS Bibliography

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Ware EB, Schmitz LL, Faul J, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
Cao H, Henretta JC, Norgard TM, Soldo BJ, Weir DR. HRS 2001 HUMS College Tuition Imputations. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2005.PDF icon Download PDF (50.75 KB)
Weir DR. HRS Institutional Review Board Information. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon PDF Download (87.78 KB)
Smith J, Ryan LH, Fisher GG, Sonnega A, Weir DR. HRS Psychosocial and Lifestyle Questionnaire 2006-2016. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.
Please note that this replaces an earlier version of this report.
PDF icon Download PDF (638.16 KB)

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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.
http://www.ncbi.nlm.nih.gov/pubmed/24693862?dopt=Abstract
Plassman BL, Langa KM, McCammon RJ, et al. Incidence of dementia and cognitive impairment, not dementia in the United States. Ann Neurol. 2011;70(3):418-26. doi:10.1002/ana.22362.
http://www.ncbi.nlm.nih.gov/pubmed/21425187?dopt=Abstract
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.
http://www.ncbi.nlm.nih.gov/pubmed/11983744?dopt=Abstract

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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
Smith J, Ofstedal MBeth, Larkina M, Helppie-McFall B, Sonnega A, Weir DR. LHMS User Guide 2015-2017. Ann Arbor, MI: Institute for Social Research, University of Michigan ; 2022.PDF icon Download PDF (944.41 KB)
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.
http://www.ncbi.nlm.nih.gov/pubmed/27698131?dopt=Abstract
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.
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.
http://www.ncbi.nlm.nih.gov/pubmed/26246388?dopt=Abstract

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Heisler MM, Faul J, 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.
http://www.ncbi.nlm.nih.gov/pubmed/17893306?dopt=Abstract
Rentería MArce, Briceño EM, Chen D, et al. Memory and language cognitive data harmonization across the United States and Mexico. Alzheimer's & Dementia (Amsterdam, Netherlands). 2023;15(3):e12478. doi:10.1002/dad2.12478.
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.
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.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
Domingue BW, McCammon R, West BT, Langa KM, Weir DR, Faul J. The mode effect of web-based surveying on the 2018 HRS measure of cognitive functioning. J Gerontol B Psychol Sci Soc Sci. 2023. doi:10.1093/geronb/gbad068.
Faul J, Domingue B, Stenhaug B, West BT, Langa KM, Weir DR. MODE EFFECTS ON COGNITIVE FUNCTIONING ASSESSMENTS IN THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2022;6(Suppl 1):163. doi:10.1093/geroni/igac059.652.
Domingue BW, Belsky DW, Harrati A, Conley DC, Weir DR, Boardman JD. Mortality selection in a genetic sample and implications for association studies. International Journal of Epidemiolpgy. 2017;46(4). doi:10.1093/ije/dyx041.
Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. Human Genetics and Genomics Advances. 2021;2(1):100013. doi:10.1016/j.xhgg.2020.100013.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.

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Evangelou E, Gao H, Chu C, et al. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour. 2019;3(9):950-961. doi:10.1038/s41562-019-0653-z.
Weir DR, Waite LJ, Wong R, Freedman VA. New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064.
Fisher GG, McArdle JJ, McCammon RJ, Sonnega A, Weir DR. New Measures of Fluid Intelligence in the HRS. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (401.25 KB)