Literature DB >> 32305144

Next generation sequencing of 11 HLA loci characterises a diverse UK cord blood bank.

Sandra G Guerra1, Siobhan Hamilton-Jones1, Colin J Brown2, Cristina V Navarrete3, Winnie Chong4.   

Abstract

The introduction of next generation sequencing (NGS) for stem cell donor registry typing has contributed to faster identification of compatible stem cell donors. However, the successful search for a matched unrelated donor for some patient groups is still affected by their ethnicity. In this study, DNA samples from 714 National Health Service (NHS) Cord Blood Bank donors were typed for HLA-A, -B, -C, -DRB1, -DRB345, -DQA1, -DQB1, -DPA1 and -DPB1 by NGS. Analysis of the ethnic diversity showed a high level of diversity, with the cohort comprising of 62.3% European and 37.7% of either multi-ethnic or non-European donors, of which 12.3% were multi-ethnic. The HLA diversity was further confirmed using PyPop analysis, 405 distinct alleles were observed in the overall NHS-CBB cohort, of which 37 alleles are non-CWD, including A*31:14N, B*35:68:02, C*14:23 and DQA1*05:10. Furthermore, HLA-DQA1 and HLA-DPA1 analysis showed 12% and 10%, respectively, of the alleles currently submitted to IMGT, confirming further diversity of the NHS-CBB cohort. The application of 11 HLA loci resolution by NGS revealed a high level of diversity in the NHS-CBB cohort. The incorporation of this data coupled with ethnicity data could lead to improved donor selection, contributing to better clinical outcomes for patients.
Copyright © 2020 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

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Keywords:  Diverse population; HLA; NGS; Transplantation

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Year:  2020        PMID: 32305144     DOI: 10.1016/j.humimm.2020.04.001

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  1 in total

1.  Allele and haplotype frequencies of human leukocyte antigen-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 by next generation sequencing-based typing in Koreans in South Korea.

Authors:  In-Cheol Baek; Eun-Jeong Choi; Dong-Hwan Shin; Hyoung-Jae Kim; Haeyoun Choi; Tai-Gyu Kim
Journal:  PLoS One       Date:  2021-06-21       Impact factor: 3.240

  1 in total

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