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dc.contributor.authorKessler, M.D.
dc.contributor.authorBateman, N.W.
dc.contributor.authorConrads, T.P.
dc.date.accessioned2019-09-13T14:49:28Z
dc.date.available2019-09-13T14:49:28Z
dc.date.issued2019
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85066404482&doi=10.1002%2fcncr.32020&partnerID=40&md5=e206dbddc5dc7ca754341c0a76192ff1
dc.identifier.urihttp://hdl.handle.net/10713/10552
dc.description.abstractBackground: Although cell lines are an essential resource for studying cancer biology, many are of unknown ancestral origin, and their use may not be optimal for evaluating the biology of all patient populations. Methods: An admixture analysis was performed using genome-wide chip data from the Catalogue of Somatic Mutations in Cancer (COSMIC) Cell Lines Project to calculate genetic ancestry estimates for 1018 cancer cell lines. After stratifying the analyses by tissue and histology types, linear models were used to evaluate the influence of ancestry on gene expression and somatic mutation frequency. Results: For the 701 cell lines with unreported ancestry, 215 were of East Asian origin, 30 were of African or African American origin, and 453 were of European origin. Notable imbalances were observed in ancestral representation across tissue type, with the majority of analyzed tissue types having few cell lines of African American ancestral origin, and with Hispanic and South Asian ancestry being almost entirely absent across all cell lines. In evaluating gene expression across these cell lines, expression levels of the genes neurobeachin line 1 (NBEAL1), solute carrier family 6 member 19 (SLC6A19), HEAT repeat containing 6 (HEATR6), and epithelial cell transforming 2 like (ECT2L) were associated with ancestry. Significant differences were also observed in the proportions of somatic mutation types across cell lines with varying ancestral proportions. Conclusions: By estimating genetic ancestry for 1018 cancer cell lines, the authors have produced a resource that cancer researchers can use to ensure that their cell lines are ancestrally representative of the populations they intend to affect. Furthermore, the novel ancestry-specific signal identified underscores the importance of ancestral awareness when studying cancer. Copyright 2019 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society.en_US
dc.description.sponsorshipThis work was supported in part from the National Institutes of Health (NIH) (T32CA154274), the Center for Health Related Informatics and Bioimaging, the Institute for Genome Sciences and Program in Personalized Genomic Medicine at the University of Maryland School of Medicine, NIH Genomic Commons award (OT3 OD025459-01), and National Heart, Lung, and Blood Institute grant (U01 HL137181-01).en_US
dc.description.urihttps://doi.org/10.1002/cncr.32020en_US
dc.language.isoen-USen_US
dc.publisherJohn Wiley and Sons Inc.en_US
dc.relation.ispartofCancer
dc.subjectadmixtureen_US
dc.subjectAfrican ancestryen_US
dc.subjectAsian ancestryen_US
dc.subjectcancer genomicsen_US
dc.subjectclinical geneticsen_US
dc.subjectgenomic ancestryen_US
dc.subjectpopulation geneticsen_US
dc.subjectprecision medicineen_US
dc.titleAncestral characterization of 1018 cancer cell lines highlights disparities and reveals gene expression and mutational differencesen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/cncr.32020
dc.identifier.pmid30865299


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