This program focuses on developing statistical tools that enable us to better understand complex traits and diseases. In particular, we create tools for detecting causal variants, creating prediction models, and understanding genetic architecture. We apply these tools to a wide variety of datasets (e.g., UK Biobank and Psychiatric Genomics Consortium) and traits (e.g., epilepsy, height, obesity, heart disease, type 1 diabetes).
Analysis of GWAS data | Understanding Complex Traits | Classifying Heterogeneous Diseases | Polygenic Risk Scores
