Musharoff Research Lab

The Musharoff Lab studies human disease architecture with the goal of reducing health disparities. We use population and statistical genetics approaches to understand how demographic and cultural factors like admixture, assortative mating, migration, and sex-bias affect patterns of genetic variation. From these insights, we develop statistical methods to interrogate disease (e.g. genome-wide association studies, GWAS) and predict traits (e.g. polygenic scores, PGS) in diverse and admixed populations.

Current work in the lab includes: investigating the extent to which population-specific gene-by-environment interactions drive disease risk, accounting for genetic and environmental heterogeneity in population samples, and developing continuous descriptors of ancestry for disease and demographic studies.