Using novel computational approaches (FSig-SNV and FSig-SV), we identify known PCa genes that are significantly mutated by SNVs (SPOP) or rearranged by SVs (TMPRSS2, ERG, PTEN, CHD1, NKX3-1, and TP53) and predict novel candidate genes with significant SNVs or SVs in their coding or non-coding regions (promoters and enhancers). The gene discussed is TP53; the disease is posterior cortical atrophy.