{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Arora K"],"funding":["National Cancer Institute","NCI NIH HHS"],"pagination":["2552-2565"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9633436"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(11)"],"pubmed_abstract":["Accurate ancestry inference is critical for identifying genetic contributors of cancer disparities among populations. Although methods to infer genetic ancestry have historically relied upon genome-wide markers, the adaptation to targeted clinical sequencing panels presents an opportunity to incorporate ancestry inference into routine diagnostic workflows. We show that global ancestral contributions and admixture of continental populations can be quantitatively inferred using markers captured by the MSK-IMPACT clinical panel. In a pan-cancer cohort of 45,157 patients, we observed differences by ancestry in the frequency of somatic alterations, recapitulating known associations and revealing novel associations. Despite the comparable overall prevalence of driver alterations by ancestry grou"],"journal":["Cancer discovery"],"pubmed_title":["Genetic Ancestry Correlates with Somatic Differences in a Real-World Clinical Cancer Sequencing Cohort."],"pmcid":["PMC9633436"],"funding_grant_id":["P30 CA008748","P50 CA221745","R01 CA227534"],"pubmed_authors":["Vijai J","Razavi P","Bandlamudi C","Ladanyi M","Carrot-Zhang J","Offit K","Brown CL","Rizvi HA","Chakravarty D","Hellmann MD","Reynolds TC","Arora K","Liu YL","Stopsack KH","Ostrovnaya I","Schultz N","Nandakumar S","Berger MF","Mehine M","Stadler ZK","Smith SA","Brannon AR","Fagin JA","Kemel Y","Tran TN","Zehir A","Safonov A","Solit DB"],"additional_accession":[]},"is_claimable":false,"name":"Genetic Ancestry Correlates with Somatic Differences in a Real-World Clinical Cancer Sequencing Cohort.","description":"Accurate ancestry inference is critical for identifying genetic contributors of cancer disparities among populations. Although methods to infer genetic ancestry have historically relied upon genome-wide markers, the adaptation to targeted clinical sequencing panels presents an opportunity to incorporate ancestry inference into routine diagnostic workflows. We show that global ancestral contributions and admixture of continental populations can be quantitatively inferred using markers captured by the MSK-IMPACT clinical panel. In a pan-cancer cohort of 45,157 patients, we observed differences by ancestry in the frequency of somatic alterations, recapitulating known associations and revealing novel associations. Despite the comparable overall prevalence of driver alterations by ancestry grou","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2025-04-04T10:28:00.897Z","creation":"2025-04-04T10:28:00.897Z"},"accession":"S-EPMC9633436","cross_references":{"pubmed":["36048199"],"doi":["10.1158/2159-8290.CD-22-0312","10.1158/2159-8290.cd-22-0312"]}}