Neda Rasouli

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

This paper develops a pipeline for translating type 1 diabetes polygenic risk scores into clinical use, showing they can distinguish type 1 from type 2 diabetes and identify high-risk individuals.

Summix2 uses mixture modeling to estimate and adjust for substructure in genetic summary data, improving the robustness and equity of research using diverse datasets.