Somatic mutation distribution across tumour cohorts provides a signal for positive selection in cancer

Abstract

Evolutionary principles could help distinguish driver from passenger mutations in cancer. Here, the authors develop SEISMIC, a method to identify cancer driver genes based on their deviation from expected mutation status patterns across a cohort under neutral evolution, and find potential drivers in melanoma and other cancer types.