HRS Bibliography

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A

Marden JR, Walter S, Kaufman JS, Glymour MM. African Ancestry, Social Factors, and Hypertension Among Non-Hispanic Blacks in the Health and Retirement Study. Biodemography and Social Biology. 2016;62(1):19-35. doi:10.1080/19485565.2015.1108836.
Dutta A, Henley W, Robine J-M, et al. Aging children of long-lived parents experience slower cognitive decline. Alzheimer's and Dementia. 2014;10(5):S315-S322. doi:10.1016/j.jalz.2013.07.002.
Mez J, Marden JR, Mukherjee S, et al. Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2017;8:188-195. doi:10.1016/j.dadm.2017.07.002.
Lutz MW, Casanova R, Saldana S, Kuchibhatla M, Plassman BL, Hayden KM. Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study. Neurobiology of Aging. 2019;80:173-186. doi:10.1016/j.neurobiolaging.2018.10.028.
http://www.ncbi.nlm.nih.gov/pubmed/31201950?dopt=Abstract
Brainerd CJ, Reyna VF, Petersen RC, et al. The apolipoprotein E genotype predicts longitudinal transitions to mild cognitive impairment but not to Alzheimer's dementia: findings from a nationally representative study. Neuropsychology. 2013;27(1):86-94. doi:10.1037/a0030855.
Kröger H, Hoffmann R. The association between CVD-related biomarkers and mortality in the Health and Retirement Survey. Demographic Research. 2018;38:1933-2002. doi:10.4054/DemRes.2018.38.62.
Peyrot WJ, Lee SH, Milaneschi Y, et al. The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25,000 subjects. Molecular Psychiatry. 2015;20(6):735-43. doi:10.1038/mp.2015.50.
Walter S, Mejía-Guevara I, Estrada K, Liu SY, Glymour MM. Association of a Genetic Risk Score With Body Mass Index Across Different Birth Cohorts. JAMA. 2016;316(1):63-69. doi:10.1001/jama.2016.8729.
Ng CD, Weiss J. Association of genetic and behavioral characteristics with the onset of diabetes. BMC Public Health. 2019;19(1):1297.
Liu Z, Chen X, Gill TM, Ma C, Crimmins E, Levine ME. ASSOCIATIONS OF GENETICS AND LIFE COURSE CIRCUMSTANCES WITH A NOVEL AGING MEASURE THAT CAPTURES MORTALITY RISK. Innovation in Aging. 2019;3:S322-S323. doi:10.1093/geroni/igz038.1177.
Liu Z, Chen X, Gill TM, Ma C, Crimmins EM, Levine ME. Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the Health and Retirement Study. PLoS Medicine. 2019;16(6):e1002827. doi:10.1371/journal.pmed.1002827.
http://www.ncbi.nlm.nih.gov/pubmed/31211779?dopt=Abstract
Li Z-H, Zhong W-F, Bin Lv Y-, et al. Associations of plasma high-sensitivity C-reactive protein concentrations with all-cause and cause-specific mortality among middle-aged and elderly individuals. Immunity & Ageing. 2019;16:28. doi:10.1186/s12979-019-0168-5.

C

Harrati A. Characterizing the Genetic Influences on Risk Aversion. Biodemography and Social Biology. 2014;60(2):185-198. doi:10.1080/19485565.2014.951986.
Domingue BW, Dalton C. Conley, Fletcher JM, Boardman JD. Cohort Effects in the Genetic Influence on Smoking. Behavior Genetics. 2016;46(1):31-42. doi:10.1007/s10519-015-9731-9.
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?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
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. Journal of Alzheimer's Disease. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
Mirina A. Computational approaches for intelligent processing of biomedical data. 2015;3664552:111.
Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.
http://www.ncbi.nlm.nih.gov/pubmed/28911009?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):3582-94. doi:10.1093/hmg/ddv097.
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS genetics. 2015;11(4):e1005103-e1005103. doi:10.1371/journal.pgen.1005103.
Rehkopf DH, Rosero-Bixby L, Dow WH. A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:255-277. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s255.

D

Walter S, Marden JR, Kubzansky LD, et al. Diabetic Phenotypes and Late-Life Dementia Risk: A Mechanism-specific Mendelian Randomization Study. Alzheimer disease and associated disorders. 2016;30(1):15-20. doi:10.1097/WAD.0000000000000128.
Robinette JW, Boardman JD, Crimmins EM. Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology and Community Health. 2019;73(5):388-392. doi:10.1136/jech-2018-211373.