It is important to note that despite the low alteration prevalence we observed for these genes, the disease ontologies identified in our screen had the highest alteration prevalence rates for RAD51B (uterus leiomyosarcoma) and POT1 (angiosarcoma) among all sarcoma diseases surveyed, both within our cohort, as well as in independent cohorts73,74. Here, RAD51B is linked to sarcoma.