<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><study_type>Cancer Genomics</study_type><full_dataset_link>https://ega-archive.org/studies/EGAS00001006425</full_dataset_link><host>EGA</host><description>EGA study EGAS00001006425</description><dataset_title>Garvan/St VincentÃ¢Â€Â™s Prostate Cancer Tissue and Data</dataset_title><dataset_title>Southern African Prostate Cancer Study (SAPCS) Ethnic Disparity</dataset_title><category>restricted</category><repository>EGA</repository></additional><is_claimable>false</is_claimable><name>Prostate cancer ancestral genomic disparity</name><description>Prostate cancer is characterised by significant global disparity; mortality rates in SubSaharan Africa are double to quadruple those in Eurasia. Hypothesising unknown interplay between genetic and non-genetic factors, tumour genome profiling envisages contributing mutational processes. Through whole-genome sequencing of treatment-naÃƒÂ¯ve prostate cancer from 183 ethnically/globally distinct patients (African versus European), we generate the largest cancer genomics resource for Sub-Saharan Africa. Identifying ~2 million somatic variants, Africans carried the greatest burden. We describe a new molecular taxonomy using all mutational types and ethno39 geographic identifiers, including Asian. Defined as Global Mutational Subtypes (GMS) AÃ¢Â€Â“D, although Africans presented within all subtypes, we found GMS-B to be Ã¢Â€Â˜African-specificÃ¢Â€Â™ and GMS-D Ã¢Â€Â˜African-predominantÃ¢Â€Â™, including Admixed and European Africans. Conversely, Europeans from Australia, Africa and Brazil predominated within Ã¢Â€Â˜mutationally-quietÃ¢Â€Â™ and ethnically/globally Ã¢Â€Â˜universalÃ¢Â€Â™ GMS-A, while European Australians shared a higher mutational burden with Africans in GMS45 C. GMS predicts clinical outcomes; reconstructing cancer timelines suggests four evolutionary trajectories with different mutation rates (GMS-A, low 0.968/year versus D, highest 1.315/year). Our data suggest both common genetic factors across extant populations and regional environmental factors contributing to carcinogenesis, analogous to gene-environment interaction defined here as a different effect of an environmental surrounding in persons with different ancestries or vice versa. We anticipate GMS acting as a proxy to intrinsic and extrinsic mutational processes in cancers, promoting global inclusion in landmark studies.</description><dates><updated>2022-07-20 11:10:43</updated></dates><accession>EGAS00001006425</accession><cross_references><TAXONOMY>9606</TAXONOMY><EGA>EGAD00001009067</EGA><EGA>EGAD00001009066</EGA><EGA>EGAC00001002768</EGA><EGA>EGAC00001002769</EGA></cross_references></HashMap>