Zhiyu Yang

This study identifies genetic variants associated with healthcare costs across multiple systems, finding polygenic influences and large effects from specific loss-of-function variants.

The paper reduces misclassification bias in EHR-based GWAS of psychiatric traits using SuperControl and PRISMA, increasing locus discovery and biological specificity.

The paper removes genetic effects from plasma proteins to enhance their utility as disease biomarkers, showing improved associations with diseases and environmental factors.

The paper compares genetic effects on disease susceptibility and progression, finding limited overlap and suggesting larger samples or different progression measures are needed.

This study examines how polygenic scores and socioeconomic status jointly influence risk for 19 diseases, finding distinct and partly interacting effects across populations.