Vivek Sriram

This study constructs an augmented disease network incorporating genetic correlations with endophenotypes to uncover genetic associations across diseases and biomarkers.

This paper introduces netCRS, a network-based comorbidity risk score that improves myocardial infarction prediction using PheWAS data, achieving better AUC than traditional PRS methods.

NETMAGE generates interactive phenotype networks from PheWAS data to visualize shared genetic associations and identify pleiotropy, aiding in drug target discovery.