A rare variant analysis framework using public genotype summary counts to prioritize disease-predisposition genes

Abstract

Sequencing studies in clinical and cancer genomics often utilize public data sets to identify genes enriched with pathogenic variants. Here, the authors propose a framework which controls for confounding factors that can bias the results in these studies.