Scott Kulm

This study benchmarks 26 variations of polygenic risk score models to assess how different assumptions affect disease prediction accuracy using UK Biobank data.

This study identifies gene-drug interactions that stratify breast cancer risk using polygenic scores and UK Biobank data, finding significant associations with corticosteroid use.

This paper develops a statistical framework to detect gene-environment interactions by focusing on variance-associated genetic variants, finding higher discovery rates for BMI and disease-related traits.

This paper evaluates the clinical impact of polygenic risk scores across 23 diseases using UK Biobank data, showing improved prediction accuracy and actionable risk mitigation strategies.