Genetic ancestry correlates with somatic differences in a real-world clinical cancer sequencing cohort Journal Article


Authors: Arora, K.; Tran, T. N.; Kemel, Y.; Mehine, M.; Liu, Y. L.; Nandakumar, S.; Smith, S. A.; Brannon, A. R.; Ostrovnaya, I.; Stopsack, K. H.; Razavi, P.; Safonov, A.; Rizvi, H. A.; Hellmann, M. D.; Vijai, J.; Reynolds, T. C.; Fagin, J. A.; Carrot-Zhang, J.; Offit, K.; Solit, D. B.; Ladanyi, M.; Schultz, N.; Zehir, A.; Brown, C. L.; Stadler, Z. K.; Chakravarty, D.; Bandlamudi, C.; Berger, M. F.
Article Title: Genetic ancestry correlates with somatic differences in a real-world clinical cancer sequencing cohort
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 group, the proportion of patients with clinically actionable alterations was lower for African (30%) compared with European (33%) ancestry. Although this result is largely explained by population-specific cancer subtype differences, it reveals an inequity in the degree to which different populations are served by existing precision oncology interventions. SIGNIFICANCE: We performed a comprehensive analysis of ancestral associations with somatic mutations in a real-world pan-cancer cohort, including >5,000 non-European individuals. Using an FDA-authorized tumor sequencing panel and an FDA-recognized oncology knowledge base, we detected differences in the prevalence of clinically actionable alterations, potentially contributing to health care disparities affecting underrepresented populations. © 2022 American Association for Cancer Research.
Keywords: adult; major clinical study; single nucleotide polymorphism; somatic mutation; polymorphism, single nucleotide; neoplasm; neoplasms; prevalence; cohort analysis; genetics, population; caucasian; personalized medicine; health care disparity; knowledge base; population genetics; whites; ancestry group; humans; human; male; female; article; precision medicine
Journal Title: Cancer Discovery
Volume: 12
Issue: 11
ISSN: 2159-8274
Publisher: American Association for Cancer Research  
Date Published: 2022-11-01
Start Page: 2552
End Page: 2565
Language: English
DOI: 10.1158/2159-8290.Cd-22-0312
PUBMED: 36048199
PROVIDER: scopus
PMCID: PMC9633436
DOI/URL:
Notes: Article -- MSK author Vijai Joseph's names are reversed on the original publication -- Export Date: 1 December 2022 -- Source: Scopus
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MSK Authors
  1. James A Fagin
    181 Fagin
  2. Kenneth Offit
    790 Offit
  3. Carol Brown
    167 Brown
  4. David Solit
    780 Solit
  5. Zsofia Kinga Stadler
    393 Stadler
  6. Marc Ladanyi
    1332 Ladanyi
  7. Ahmet Zehir
    344 Zehir
  8. Vijai Joseph
    212 Joseph
  9. Michael Forman Berger
    768 Berger
  10. Matthew David Hellmann
    412 Hellmann
  11. Nikolaus D Schultz
    490 Schultz
  12. Angela Rose Brannon
    99 Brannon
  13. Yelena Kemel
    104 Kemel
  14. Pedram Razavi
    182 Razavi
  15. Hira Abbas Rizvi
    123 Rizvi
  16. Ying Liu
    106 Liu
  17. Shaleigh Anne Smith
    15 Smith
  18. Anton Safonov
    35 Safonov
  19. Kanika Suresh Arora
    27 Arora
  20. Thinh Ngoc Tran
    10 Tran
  21. Miika Mehine
    16 Mehine