Md. Moksedul Momin

The paper introduces R2ROC, a method to compare AUC values from polygenic scores efficiently, offering faster computation and direct mapping to R2 for better interpretation.

This study examines cross-ancestry genetic architecture of cholesterol traits, finding significant genetic heterogeneity and identifying concordant SNPs with higher predictive ability.

This study introduces a novel GxE PRS model that improves type 1 error control and statistical power for genetic risk prediction, with applications to quantitative and binary traits.

The paper develops statistical methods to estimate variance and covariance of R2 values for polygenic scores, enabling significance testing of predictive ability differences across samples and SNP types.