HRS Bibliography

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2019

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
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 EM, 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.
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
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.
Robinette JW, Boardman JD, Crimmins EM. Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology & Community Health. 2019;73(5):388–392. doi:10.1136/jech-2018-211373.
Patel PC, Rietveld CA. Effect of genetic propensity for obesity on income and wealth through educational attainment. Obesity (Silver Spring). 2019. doi:10.1002/oby.22528.
http://www.ncbi.nlm.nih.gov/pubmed/31199061?dopt=Abstract
Fletcher JM. Environmental bottlenecks in children's genetic potential for adult socio-economic attainments: Evidence from a health shock. Population Studies (Camb). 2019;73(1):139-148. doi:10.1080/00324728.2018.1498533.
http://www.ncbi.nlm.nih.gov/pubmed/30350750?dopt=Abstract
Schmitz LL, Gard AM, Ware EB. Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics. 2019. doi:10.1002/ajmg.b.32748.
http://www.ncbi.nlm.nih.gov/pubmed/31219244?dopt=Abstract
Schmitz LL, Gard AM, Ware EB. Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2019;180(6):448 - 468. doi:10.1002/ajmg.v180.610.1002/ajmg.b.32748.
Das A. Genes, childhood trauma, and late life depressive symptoms. Journal of Aging and Health. 2019. doi:10.1177/0898264319861001.
http://www.ncbi.nlm.nih.gov/pubmed/31288597?dopt=Abstract
Herd P, Freese J, Sicinski K, et al. Genes, Gender Inequality, and Educational Attainment. AMERICAN SOCIOLOGICAL REVIEW. 2019;84:1069-1098. doi:10.1177/0003122419886550.
Liu H. Genetic architecture of socioeconomic outcomes: Educational attainment, occupational status, and wealth. Social Science Research. 2019;82:137-147. doi:10.1016/j.ssresearch.2019.04.008.
http://www.ncbi.nlm.nih.gov/pubmed/31300074?dopt=Abstract
Bae H, Lunetta KL, Murabito JM, et al. Genetic associations with age of menopause in familial longevity. Menopause. 2019. doi:10.1097/GME.0000000000001367.
http://www.ncbi.nlm.nih.gov/pubmed/31188284?dopt=Abstract
Sathyan S, Wang T, Ayers E, Verghese J. Genetic basis of motoric cognitive risk syndrome in the Health and Retirement Study. Neurology. 2019;92(13):e1427-e1434. doi:10.1212/WNL.0000000000007141.
http://www.ncbi.nlm.nih.gov/pubmed/30737336?dopt=Abstract
Das A. Major discrimination experiences, education, and genes. Journal of Aging and Health. 2019. doi:10.1177/0898264319851661.
http://www.ncbi.nlm.nih.gov/pubmed/31142169?dopt=Abstract
Blue L, Gill L, Faul JD, Bradway K, Stapleton D. 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
Niedzwiedz CL, Katikireddi SVittal, Pell JP, Smith DJ. Sex differences in the association between salivary telomere length and multimorbidity within the US Health & Retirement Study. Age and Ageing. 2019;48(5): 703–710. doi:10.1093/ageing/afz071.