Applying Biodemography Methods to Advance our Understanding of Socioeconomic Risk Factors for Alzheimer’s Disease

Funding Source:  National Institutes of Health, National Institute on Aging (P30 AG 017266–20S, Supplement)

Principal Investigator:  Jason Fletcher
Co-Investigators: Hyunseung Kang and Qiongshi Lu

This project includes a set of projects that will integrate findings from genetics, education research, health economics, and econometrics to estimate the causal effects of educational attainment on Alzheimer’s Disease (AD) related outcomes in two datasets. A second aim expands this analysis by focusing on the possible causal effects of sleep and loneliness on AD and cognitive health. Using newly available genetic data in the Health and Retirement Study and the UK Biobank, we will combine insights from genomic science and econometrics to uncover causal estimates in the form of genetic instrumental variables (GIV).