Article ; Online: Use of selective phenotyping and genotyping to identify rare blood donors in Canada.
2023 Volume 118, Issue 5, Page(s) 398–401
Abstract: Background and objectives: The distribution of rare and specific red cell phenotypes varies between races and ethnicities. Therefore, the most compatible red cell units for patients with haemoglobinopathies and other rare blood requirements are most ... ...
Abstract | Background and objectives: The distribution of rare and specific red cell phenotypes varies between races and ethnicities. Therefore, the most compatible red cell units for patients with haemoglobinopathies and other rare blood requirements are most likely to be found in donors from similar genetic backgrounds. Our blood service introduced a voluntary question asking donors to provide their racial background/ethnicity. Results triggered additional phenotyping and/or genotyping. Materials and methods: We analysed the results of additional testing performed between January 2021 and June 2022, and rare donors were added to the Rare Blood Donor database. We determined the incidence of various rare phenotypes and blood group alleles based on donor race/ethnicity. Results: Over 95% of donors answered the voluntary question; 715 samples were tested, and 25 donors were added to the Rare Blood Donor database, including five k-, four U-, two Jk(a-b-) and two D- - phenotypes. Conclusion: Asking donors about their race/ethnicity was well received by donors, and the resulting selective testing enabled us to identify individuals with a higher likelihood of being rare blood donors, support patients with rare blood requirements and better understand the incidence of common and rare alleles and red blood cell phenotypes in the Canadian donor population. |
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MeSH term(s) | Humans ; Blood Donors ; Genotype ; Canada/epidemiology ; Blood Group Antigens/genetics ; Erythrocytes |
Chemical Substances | Blood Group Antigens |
Language | English |
Publishing date | 2023-03-09 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 80313-3 |
ISSN | 1423-0410 ; 0042-9007 |
ISSN (online) | 1423-0410 |
ISSN | 0042-9007 |
DOI | 10.1111/vox.13419 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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