Supplementary Tables (Excel) from Whole-Genome Sequencing Reveals Elevated Tumor Mutational Burden and Initiating Driver Mutations in African Men with Treatment-Naïve, High-Risk Prostate Cancer

Supplementary Excel Tables include Supplementary Table S5. Segmented copy number alterations in six African PCa patients identified by WGS. Supplementary Table S6. Clinical characteristics of previously published prostate tumors compared in this study. Supplementary Table S7. Allele distribution for known PCa risk alleles in SAPCS. Supplementary Table S9. Small somatic mutations in six African (SAPCS) and nine European (APCRC) patients with high-risk PCa. Supplementary Table S10. Oncogenic driver mutations in six African PCa patients. Supplementary Table S11. Somatic SVs in six African (SAPCS) and nine European (APCRC) patients with high-risk PCa. Supplementary Table S14. Machine learning prediction results of missense mutations (CanDrA program) showing potential oncogenic drivers in six African PCa patients and the impact of the drivers on cellular pathway alterations using PANTHER classification system. Supplementary Table S15. Recurrent SCNAs in six African PCa patients. Supplementary Table S16. Gene level copy number alterations in six African PCa patients. Columns 4 - 9 are absolute values and Columns 10 - 15 are relative values for percentage genome alteration, including 276 signature genes in Columns 16 - 19. Positive and negative values indicate gains and losses, respectively. Zero means neutral copy number variation.