Multiple measures for self-identification improve matching donors with patients in unrelated hematopoietic stem cell transplant
While these data are not used directly in matching for transplant, our results demonstrate that there is a place for the language of both race and geographic ancestry in the critical process of facilitating accurate prediction of HLA in the donor registry context.
Authors
- Chris Lin
- Jill A. Hollenbach (ORCID: https://orcid.org/0000-0001-6572-7962)
- Paul J. Norman (ORCID: https://orcid.org/0000-0001-8370-7703)
- Martin Maiers (ORCID: https://orcid.org/0000-0002-0198-2064)
- Yoram Louzoun (ORCID: https://orcid.org/0000-0003-1714-6148)
- Rochelle Kotlarz
- Abeer Madbouly (ORCID: https://orcid.org/0000-0003-4199-3435)
- Vincent Damotte (ORCID: https://orcid.org/0000-0002-7321-8575)
- Yong Wang (ORCID: https://orcid.org/0000-0001-8772-7349)
- Chao Zhao (ORCID: https://orcid.org/0000-0003-3569-2732)
- Marissa McDaniel
- Eric Williams
Institutions
- National Marrow Donor Program (US)
- Bar-Ilan University (IL)
- University of California, San Francisco (US)
- Neurosciences Institute (US)
- University of Washington (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1038/s43856-024-00620-w
- Citations
- 4
- Primary Topic
- Race, Genetics, and Society
- Type
- article
- Field-Weighted Citation Impact
- 2.20
Funders
- National Institutes of Health
- U.S. Navy
- Office of Naval Research
- National Human Genome Research Institute