Johanna L. Smith

The paper examines how covariates affect polygenic score performance across European and African cohorts, finding significant differences in R2 and interaction effects, and proposes methods to improve model performance.

This study evaluates polygenic risk scores (PRS) for ASCVD subtypes across diverse ancestry groups, finding that multi-ancestry and multi-trait PRS perform best, with CHD and AAA scores outperforming IS and PAD.

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

The paper selects and validates ten polygenic risk scores for clinical use in diverse populations, focusing on chronic diseases and addressing disparities in predictive performance.