SETD2 and neoplasm: We next performed unsupervised hierarchical clustering based on the 10,000 most variable CpGs on the 450K array in each tumor type (Figure 7G-7I), revealing two major clusters based on 5mC profiles; one cluster dominated by hypermethylation that significantly coincided with high prevalence of SETD2 mutation (KIRC, p = 1.67E-7; KIRP, p = 0.0048; LuCa, p = 0.025).