Systems genetic and reverse phenotypic analysis of age and retirement
Description: PUBLIC HEALTH RELEVANCE: State of the art statistical, computational, and network approaches for integrating genomic data with the valuable phenotypic and genetic data provided by the Health and Retirement Study is expected to lead to the identification of genetic markers relevant for improving the lives of America's older adults. Validated genetic markers will inform researchers in many fields including biomedical researchers, epidemiologists, psychologists, sociologists, and economists.
Funder: National Institute on Aging
Funding type: research
Funder scheme: R01
Start date: 2013-07-01
End date: 2018-01-31
Investigator: STEVE HORVATH
Institution: UNIVERSITY OF CALIFORNIA LOS ANGELES
Subfield: Genetics
Domain: Life Sciences
Funded outputs count: 23
Funder award ID: R01AG042511
OpenAlex ID: G8889001892