HRS Bibliography

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Journal Article

C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
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
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
Fong TG, Jones RN, Rudolph JL, et al. Development and validation of a brief cognitive assessment tool: the sweet 16. Arch Intern Med. 2011;171(5):432-7. doi:10.1001/archinternmed.2010.423.
http://www.ncbi.nlm.nih.gov/pubmed/21059967?dopt=Abstract
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Depressive symptoms in spouses of older patients with severe sepsis. Crit Care Med. 2012;40(8):2335-41. doi:10.1097/CCM.0b013e3182536a81.
http://www.ncbi.nlm.nih.gov/pubmed/22635049?dopt=Abstract
Sirdari MZangeneh, M. Islam A, Awang N. Dependence in binary outcomes: A quadratic exponential model approach. Bulletin of the Malaysian Mathematical Sciences Society. 2014;37(1):129-137.
Govindan S, Shapiro L, Langa KM, Iwashyna TJ. Death certificates underestimate infections as proximal causes of death in the U.S. PLoS One. 2014;9(5):e97714. doi:10.1371/journal.pone.0097714.
http://www.ncbi.nlm.nih.gov/pubmed/24878897?dopt=Abstract
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
Dey R, M. Islam A. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?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
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Hülür G, Infurna FJ, Ram N, Gerstorf D. Cohorts based on decade of death: no evidence for secular trends favoring later cohorts in cognitive aging and terminal decline in the AHEAD study. Psychol Aging. 2013;28(1):115-27. doi:10.1037/a0029965.
http://www.ncbi.nlm.nih.gov/pubmed/23046001?dopt=Abstract
Dushi I, Iams HM. Cohort differences in wealth and pension participation of near-retirees. Soc Secur Bull. 2008;68(3):45-66.
http://www.ncbi.nlm.nih.gov/pubmed/19260617?dopt=Abstract
Shaffer VA, Merkle EC, Fagerlin A, Griggs JJ, Langa KM, Iwashyna TJ. Chemotherapy was not associated with cognitive decline in older adults with breast and colorectal cancer: findings from a prospective cohort study. Med Care. 2012;50(10):849-55. doi:10.1097/MLR.0b013e31825a8bb0.
http://www.ncbi.nlm.nih.gov/pubmed/22683591?dopt=Abstract
Carey MR, Prescott HC, Iwashyna TJ, Wilson ME, Fagerlin A, Valley TS. Changes in Self-Rated Health After Sepsis in Older Adults: A Retrospective Cohort Study. Chest. 2020;S0012-3692(20):31732-3. doi:10.1016/j.chest.2020.05.606.
Rakoski MO, McCammon RJ, Piette JD, et al. Burden of cirrhosis on older Americans and their families: analysis of the health and retirement study. Hepatology. 2012;55(1):184-91. doi:10.1002/hep.24616.
http://www.ncbi.nlm.nih.gov/pubmed/21858847?dopt=Abstract
M. Islam A, Chowdhury RI, Briollais L. A bivariate binary model for testing dependence in outcomes. Bulletin of the Malaysian Mathematical Sciences Society. 2012;35(4):845-858.PDF icon BMMS_bernoulliv35n4p2.pdf (144.95 KB)
Elliot AJ, Mooney CJ, Infurna FJ, Chapman BP. Associations of lifetime trauma and chronic stress with C-reactive protein in adults ages 50 and older. Psychosomatic Medicine. 2017;79(6):622-630. doi:10.1097/PSY.0000000000000476.
Brilleman SL, Wolfe R, Moreno-Betancur M, et al. Associations between community-level disaster exposure and individual-level changes in disability and risk of death for older Americans. Soc Sci Med. 2017;173:118-125. doi:10.1016/j.socscimed.2016.12.007.
http://www.ncbi.nlm.nih.gov/pubmed/27960126?dopt=Abstract
Hoppmann CA, Infurna FJ, Ram N, Gerstorf D. Associations Among Individuals' Perceptions of Future Time, Individual Resources, and Subjective Well-Being in Old Age. J Gerontol B Psychol Sci Soc Sci. 2017;72(3):388-399. doi:10.1093/geronb/gbv063.
http://www.ncbi.nlm.nih.gov/pubmed/26437862?dopt=Abstract
Liu M, Jiang Y, Wedow R, et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics. 2019;51(2):237-244. doi:10.1038/s41588-018-0307-5.