This project will utilize high-throughput genetic technologies in a major longitudinal behavioral study and renew the biomedical research community by building scientific partnerships for the integration of behavioral and genetic science. The 7,000 individual participants to be genotyped will be added to a database of 13,000 being constructed under an earlier ARRA project. The Health and Retirement Study (HRS), begun in 1992, sets the standard for data-sharing and dissemination, with over 1,000 publications by over 1,000 different authors and co-authors. Its rich measurement across domains of health, psychological characteristics, social networks, and economic status and behavior creates an unparalleled body of phenotypic data observed over time that can now be paired with a rich genotypic characterization of a million SNPs using the Illumina Omni1-quad beadchip. Valuable as a replication sample for many established GWA studies, this resource, building on a study already widely known in behavioral aging research, will revolutionize research on behavioral science as one of the first large-scale studies to combine genetics with behavioral phenotypes, creating a platform for discovery. Specifically, this project aims to conduct genotyping through the Center for Inherited Disease Research (CIDR) on approximately 7,000 samples derived from saliva;to make the genotype data available through dbGaP with a limited array of phenotypes;to maintain a process for sharing genotype and broader phenotype data more widely in the research community;and to conduct a limited set of association studies with established phenotypes of cardiovascular health and cognition to demonstrate the potential of the data resource and serve as examples for future studies. The data and data-sharing mechanisms will be integrated into the ongoing HRS at the conclusion of this project.
This project will conduct genetic analysis on 16,000 individual participants in an ongoing longitudinal study of older Americans, and create mechanisms by which qualified researchers anywhere in the country can access the data for scientific analysis of health and behavior in the older population. It will conduct demonstration studies of genetic factors in cardiovascular health and in cognition.
| Giuliani, Cristina; Sazzini, Marco; Pirazzini, Chiara et al. (2018) Impact of demography and population dynamics on the genetic architecture of human longevity. Aging (Albany NY) 10:1947-1963 |
| Qiao, Zhen; Powell, Joseph E; Evans, David M (2018) MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes (Basel) 9: |
| DiPrete, Thomas A; Burik, Casper A P; Koellinger, Philipp D (2018) Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data. Proc Natl Acad Sci U S A 115:E4970-E4979 |
| Yashin, Anatoliy I; Fang, Fang; Kovtun, Mikhail et al. (2018) Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol 107:148-160 |
| Kulminski, Alexander M; Huang, Jian; Loika, Yury et al. (2018) Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes. Aging (Albany NY) 10:492-514 |
| Belsky, Daniel W; Domingue, Benjamin W; Wedow, Robbee et al. (2018) Genetic analysis of social-class mobility in five longitudinal studies. Proc Natl Acad Sci U S A 115:E7275-E7284 |
| Zhan, Yiqiang; Clements, Mark S; Roberts, Rosebud O et al. (2018) Association of telomere length with general cognitive trajectories: a meta-analysis of four prospective cohort studies. Neurobiol Aging 69:111-116 |
| McAninch, Elizabeth A; Rajan, Kumar B; Evans, Denis A et al. (2018) A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans. J Clin Endocrinol Metab 103:1818-1826 |
| Wehby, George L; Domingue, Benjamin W; Wolinsky, Fredric D (2018) Genetic Risks for Chronic Conditions: Implications for Long-term Wellbeing. J Gerontol A Biol Sci Med Sci 73:477-483 |
| Tropf, Felix C; Lee, S Hong; Verweij, Renske M et al. (2017) Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav 1:757-765 |
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