Ancestry-adjusted genomic analysis to identify known and novel associations with single and multiple cancer phenotypes Meeting Abstract


Authors: Joseph, V.; Ravichandran, V.; Ostrovnaya, I.; Liu, Y. L.; Tkachuk, K.; Khurram, A.; Kemel, Y.; Mandelker, D.; Bandlamudi, C.; Walsh, M. F.; Conry, M. T.; Syed, A.; Schultz, N.; Solit, D. B.; Berger, M. F.; Robson, M. E.; Stadler, Z. K.; Offit, K.
Abstract Title: Ancestry-adjusted genomic analysis to identify known and novel associations with single and multiple cancer phenotypes
Meeting Title: 2023 ASCO Annual Meeting
Journal Title: Journal of Clinical Oncology
Volume: 41
Issue: 16 Suppl.
Meeting Dates: 2023 Jun 2-6
Meeting Location: Chicago, IL
ISSN: 0732-183X
Publisher: American Society of Clinical Oncology  
Date Published: 2023-06-01
Language: English
DOI: 10.1200/JCO.2023.41.16_suppl.10504
PROVIDER: EBSCOhost
PROVIDER: cinahl
DOI/URL:
Notes: Meeting abstract: 10504 -- Meeting also presented virtually -- Source: Cinahl
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MSK Authors
  1. Kenneth Offit
    791 Offit
  2. Mark E Robson
    682 Robson
  3. David Solit
    781 Solit
  4. Zsofia Kinga Stadler
    395 Stadler
  5. Vijai Joseph
    213 Joseph
  6. Michael Forman Berger
    770 Berger
  7. Nikolaus D Schultz
    491 Schultz
  8. Yelena Kemel
    106 Kemel
  9. Aijazuddin Syed
    53 Syed
  10. Michael Francis Walsh
    156 Walsh
  11. Diana Lauren Mandelker
    183 Mandelker
  12. Ying Liu
    108 Liu
  13. Kaitlyn Ann Tkachuk
    22 Tkachuk
  14. Aliya Khurram
    22 Khurram
  15. Michael T Conry
    4 Conry