Literature DB >> 28865670

Estimation of optimal donor number in Bone Marrow Donor Registry: Hong Kong's experience.

Janette Kwok1, Mengbiao Guo2, Wanling Yang2, Patrick Ip2, Godfrey C F Chan2, Jenny Ho3, C K Lee4, Derek Middleton5, Liwei Lu6.   

Abstract

Better outcome for hematopoietic stem cell transplantation (HSCT) requires optimal matching between donor and recipient at the HLA-A, -B, -C, and -DRB1 loci. This study estimates the likelihood of identifying HLA matched donors in Hong Kong. 7595 volunteer unrelated Chinese donors at the Hong Kong Bone Marrow Donor Registry were typed with HLA-A, -B, -C and -DRB1 genotypes. The matching probabilities for 8/8 and 7/8 HLA match via the matching models were determined. Based on current 100,000 donors in the HKBMDR, the matching probabilities are 45% at 8/8 HLA match and 65% at 7/8 match. By increasing the registry to 200,000, the likelihoods of match become 54% and 73% at 8/8 and 7/8 match stringencies respectively. Our findings may be helpful in planning future donor recruitment and HLA typing. A cost-effective Bone Marrow Donor Registry with a larger pool of donors could increase chance of matching and the success of HSCT.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Alleles; Chinese; Frequency haplotypes; HLA antigens; Hong Kong; Matching probability

Mesh:

Substances:

Year:  2017        PMID: 28865670     DOI: 10.1016/j.humimm.2017.08.007

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


  2 in total

1.  Revisit of Optimal Donor Number Estimation in the Hong Kong Bone Marrow Donor Registry.

Authors:  Jenny Chung Yee Ho; Stephen Kwok Fan Cheung; Zhongyi Lui; Ivan Wing Hong Tang; Wanling Yang; Patrick Ip; Cheuk Kwong Lee; Derek Middleton; Janette Siu Yin Kwok
Journal:  Front Immunol       Date:  2021-04-16       Impact factor: 7.561

2.  How Ancestry Influences the Chances of Finding Unrelated Donors: An Investigation in Admixed Brazilians.

Authors:  Kelly Nunes; Vitor R C Aguiar; Márcio Silva; Alexandre C Sena; Danielli C M de Oliveira; Carla L Dinardo; Fernanda S G Kehdy; Eduardo Tarazona-Santos; Vanderson G Rocha; Anna Barbara F Carneiro-Proietti; Paula Loureiro; Miriam V Flor-Park; Claudia Maximo; Shannon Kelly; Brian Custer; Bruce S Weir; Ester C Sabino; Luís Cristóvão Porto; Diogo Meyer
Journal:  Front Immunol       Date:  2020-11-06       Impact factor: 7.561

  2 in total

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