ArticleScientific reports2016
Simulation shows that HLA-matched stem cell donors can remain unidentified in donor searches.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Unrelated Stem Cell Donor HLA Match Likelihood in the US Registry Incorporating HLA-DPB1 Permissive Mismatching.Transplantation and cellular therapy · 2023Article
- Empirical Study of Large-Scale HLA Simulation of Parallel Region-Matching Knowledge Recognition Algorithm Based on Region Matching.Computational intelligence and neuroscience · 2022Article
- Marriage does not relate to major histocompatibility complex: a genetic analysis based on 3691 couples.Proceedings. Biological sciences · 2020Article
- Immunogenetics in stem cell donor registry work: The DKMS example (Part 1).International journal of immunogenetics · 2020Review
- Human Leukocyte Antigen-A, B, C, DRB1, and DQB1 Allele and Haplotype Frequencies in a Subset of 237 Donors in the South African Bone Marrow Registry.Journal of immunology research · 2018Article
- Performance of an allele-level multi-locus HLA genotype imputation tool in hematopoietic stem cell donors from Quebec.Immunity, inflammation and disease · 2017Article
- Hapl-o-Mat: open-source software for HLA haplotype frequency estimation from ambiguous and heterogeneous data.BMC bioinformatics · 2017Article
- 2.7 million samples genotyped for HLA by next generation sequencing: lessons learned.BMC genomics · 2017Article
- Exploring Italians' knowledge of, and perceptions and feelings about stem cell donation: a GITMO-IBMDR nationwide survey.Blood transfusion = Trasfusione del sangueArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The heterogeneous nature of HLA information in real-life stem cell donor registries may hamper unrelated donor searches. It is even possible that fully HLA-matched donors with incomplete HLA information are not identified. In our simulation study, we estimated the probability of these unnecessarily failed donor searches. For that purpose, we carried out donor searches in several virtual donor registries. The registries differed by size, composition with respect to HLA typing levels, and genetic diversity. When up to three virtual HLA typing requests were allowed within donor searches, the share of unnecessarily failed donor searches ranged from 1.19% to 4.13%, thus indicating that non-identification of completely HLA-matched stem cell donors is a problem of practical relevance. The following donor registry characteristics were positively correlated with the share of unnecessarily failed donor searches: large registry size, high genetic diversity, and, most strongly correlated, large fraction of registered donors with incomplete HLA typing. Increasing the number of virtual HLA typing requests within donor searches up to ten had a smaller effect. It follows that the problem of donor non-identification can be substantially reduced by complete high-resolution HLA typing of potential donors.
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