Award

Statistical analysis of gene expression quantitative trait loci (eQTL)

Description: PUBLIC HEALTH RELEVANCE: This project will generate and apply statistical tools for analyzing large-scale studies that aim to understand the impact of genetic variation on transcriptomes, and to better understand the different regulatory mechanisms underlying different tissue types, a fundamental issue in biology. Understanding these mechanisms, identifying the regulatory genetic variants, and correlating them with human disease, has the potential help understand the biology of disease, eventually leading to new treatment strategies.

Funder: National Institute of Mental Health

Funding type: research

Funder scheme: R01

Start date: 2013-08-01

End date: 2018-06-30

Investigator: MATTHEW STEPHENS

Institution: UNIVERSITY OF CHICAGO

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Funded outputs count: 120

Funder award ID: R01MH101825

OpenAlex ID: G6028903562