HRS Bibliography

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A

Vivek S, Crimmins EM, Prizment AE, et al. Age-related differences in T cell subsets and markers of subclinical inflammation in aging are independently associated with type 2 diabetes in the Health and Retirement Study. Canadian Journal of Diabetes. 2023;47(7):594-602.e6. doi:10.1016/j.jcjd.2023.05.010.
Thyagarajan B, Faul J, Vivek S, et al. Age-related differences in T cell subsets in a nationally representative sample of people over age 55: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A . 2022;77(5):927-933. doi:10.1093/gerona/glab300.
Olchanski N, Daly AT, Zhu Y, et al. Alzheimer's disease medication use and adherence patterns by race and ethnicity. Alzheimer's & Dementia. 2023. doi:10.1002/alz.12753.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Meier H, Mitchell C, Crimmins EM, Thyagarajan B, Faul J. Association of GrimAge DNA methylation components and 2-year mortality in the Health and Retirement Study . Innovation in Aging. 2021;5(Suppl _1):675. doi:https://doi.org/10.1093/geroni/igab046.2525.
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.
Crimmins EM, Thyagarajan B, Levine ME, Weir DR, Faul J. Associations of Age, Sex, Race/Ethnicity and Education with 13 Epigenetic Clocks in a Nationally Representative US Sample: The Health and Retirement Study. The Journals of Gerontology: Series A . 2021;76(6):1117-1123. doi:10.1093/gerona/glab016.
Gao J, de Leon CFMendes, D'Souza J, et al. Associations of Long-term Air Pollution Exposure and Incident Late-Life Disability in Older U.S. Adults: The Health Retirement Study. In: ISEE Conference Abstracts. Vol. 2021. ISEE Conference Abstracts. ; 2021.
Hickman R, Bakulski KM, Brandt D, Faul J, Ware EB. Associations of self‐rated mental and physical work demands with cognition are dependent in a cross‐sectional sample of the Health and Retirement Study. Alzheimer's & dementia. 2023;19. doi:10.1002/alz.066265.

C

Ramasubramanian R, Kim JWon, Guan W, et al. Cohabitation as a determinant of adaptive and innate immune cell profiles: Findings from the Health and Retirement Study. Brain, Behavior, and Immunity - Health. 2023;33:100676. doi:10.1016/j.bbih.2023.100676.
Sonnega A, Faul J, Ofstedal MBeth, Langa KM, Phillips JWR, Weir DR. Cohort Profile: the Health and Retirement Study (HRS). Int J Epidemiol. 2014;43(2):576-85. doi:10.1093/ije/dyu067.
http://www.ncbi.nlm.nih.gov/pubmed/24671021?dopt=Abstract
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Vivek S, Thyagarajan B, Nelson HHammond, Prizment A, Crimmins EM, Faul J. COMBINED EFFECT OF CMV SEROPOSITIVITY AND SYSTEMIC INFLAMMATION ON DEMENTIA PREVALENCE IN CANCER SURVIVORS. Innovation in Aging. 2019;3:S461-S461. doi:10.1093/geroni/igz038.1724.
Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.
Langa KM, Larson EB, Crimmins EM, et al. A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med. 2017;177(1):51-58. doi:10.1001/jamainternmed.2016.6807.
http://www.ncbi.nlm.nih.gov/pubmed/27893041?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
Ware EB, Faul J, Mitchell C, Bakulski KM. Considering the APOE locus in Alzheimer's disease polygenic scores in the Health and Retirement Study: a longitudinal panel study. BMC Medical Genomics. 2020;13(1):164. doi:10.1186/s12920-020-00815-9.
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.
Vivek S, Nelson HHammond, Prizment A, Faul J, Crimmins EM, Thyagarajan B. Cross sectional association between cytomegalovirus seropositivity, inflammation and cognitive impairment in elderly cancer survivors. Cancer Causes & Control. 2022;33(1):81-90. doi:https://doi.org/10.1007/s10552-021-01504-3.
Bakulski KM, Vadari HS, Faul J, et al. Cumulative Genetic Risk and APOE ε4 Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. Neurology Genetics. 2021;7(2):e576. doi:10.1212/NXG.0000000000000576.

D

Lin P-J, Daly AT, Olchanski N, et al. Dementia Diagnosis Disparities by Race and Ethnicity. Medical Care. 2021;59(8):679-686. doi:10.1097/MLR.0000000000001577.
Ajnakina O, Agbedjro D, McCammon RJ, et al. Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation. BMC Medical Research Methodology. 2021;21(1):8. doi:10.1186/s12874-020-01204-7.
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
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.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.