Inferring genetic ancestry from cancer sequencing data Editorial

  


Authors: Arora, K.; Berger, M. F.
Title: Inferring genetic ancestry from cancer sequencing data
Abstract: Genetic ancestry is an important biological determinant of cancer health disparities that is not captured by self-identified race and ethnicity (SIRE). Belleau et al. recently developed a systematic computational approach to infer genetic ancestry from cancer-derived molecular data from different genomic and transcriptomic profiling assays, creating opportunities to interrogate population-scale data sets. © 2023 Elsevier Ltd
Keywords: controlled study; genetics; neoplasm; neoplasms; genomics; short survey; genome; ethnicity; health disparity; race; humans; human; ancestry; tumor sequencing; protein fingerprinting
Journal Title: Trends in Genetics
Volume: 39
Issue: 6
ISSN: 0168-9525
Publisher: Elsevier Inc.  
Date Published: 2023-06-01
Start Page: 431
End Page: 432
Language: English
DOI: 10.1016/j.tig.2023.03.003
PUBMED: 36973098
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150843776&doi=10.1016%2fj.tig.2023.03.003&partnerID=40&md5=3b72392ddd392a2f28fc7cb99bada017
Notes: Source: Scopus
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MSK Authors
  1. Michael Forman Berger
    765 Berger
  2. Kanika Suresh Arora
    27 Arora
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