An Analytic Pipeline to Obtain Reliable Genetic Ancestry Estimates from Tumor-Derived RNA Sequencing Data.

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Bibliographic Details
Title: An Analytic Pipeline to Obtain Reliable Genetic Ancestry Estimates from Tumor-Derived RNA Sequencing Data.
Authors: Johnson CE; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia., Ran X; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia., Wrobel J; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia., Davidson NR; Department of Obstetrics and Gynecology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado., Greene CS; Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado., Epstein MP; Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia., Marks JR; Department of Surgery, Duke University School of Medicine, Durham, North Carolina., Peres LC; Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida., Doherty JA; Department of Population Health Sciences at the Spencer Fox Eccles School of Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah., Schildkraut JM; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology [Cancer Epidemiol Biomarkers Prev] 2025 Sep 02; Vol. 34 (9), pp. 1593-1599.
Publication Type: Journal Article
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9200608 Publication Model: Print Cited Medium: Internet ISSN: 1538-7755 (Electronic) Linking ISSN: 10559965 NLM ISO Abbreviation: Cancer Epidemiol Biomarkers Prev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1538-7755
DOI:10.1158/1055-9965.EPI-25-0371