Cornell University
The Musharoff Lab studies human disease architecture. We use population and
statistical genetic approaches to understand how demographic and cultural factors like admixture, assortative mating, and
migration affect patterns of genetic variation. From these insights, we develop statistical methods to
interrogate disease (such as with genome-wide association studies, or GWAS) and predict traits (such as with polygenic scores, or PGS).
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.