SCOTT M. DUDEK

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 the reliability of coronary artery disease polygenic risk scores across diverse populations, finding poor individual agreement despite equivalent population-level performance.

The paper identifies epistatic SNP-SNP interactions in long-range LD across five diseases using UK Biobank and eMERGE data, finding associations involving conserved genes and essential genes.

The paper evaluates the frequency and impact of pharmacogenetic alleles in a diverse biobank population, finding high prevalence of actionable alleles and disparities by ancestry.

The paper introduces a collective feature selection approach to identify epistatic variants by combining multiple methods, showing improved performance in detecting true positive interactions in both simulated and real BMI data.

This study simulates PheWAS to assess how sample size, case-control ratio, minor allele frequency, and disease penetrance affect statistical power for binary and quantitative traits.