Literature DB >> 29888504

Inaccuracies in epitope repertoire estimations when using Multi-Locus Allele-Level hla genotype imputation tools.

Y D'Souza1, A Ferradji1, C Saw2, K Oualkacha3, L Richard4, G Popradi1,5, R Sapir-Pichhadze1,6,7,8.   

Abstract

BACKGROUND: Limited availability of allele-level HLA genotypes prompts their imputation from allele-group genotypes to estimate epitope mismatches. We evaluated the accuracy of epitope load and repertoire assignment when imputing allele-level HLA genotypes.
METHODS: Analyses were conducted on 175 hematopoietic stem cell (HSC) donors from the Héma-Québec registry (HQR) and 57 HSC donor-recipient pairs from McGill University Health Centre (MUHC), Québec, Canada, genotyped for HLA-A, -B, -C, -DRB1 and -DQB1. Multi-locus allele-level imputation was performed using HaploStats. Disagreement in B- and T-cell epitope assignment and epitope mismatches were ascertained for imputed vs. measured allele-level HLA genotypes in HSC donors and donor-recipient pairs, respectively.
RESULTS: Imputation resulted in no differences in overall eplet mismatches and PIRCHE-II for HLA-A, -B, and -C in 83.4% and 93.7% of HQR donors and 87.7% and 87.7% of MUHC donors, respectively. HLA-DRB1- and -DQB1-derived eplet mismatches and PIRCHE-II were correctly assigned in 72.0% and 85.1% of HQR donors and 70.2% and 71.9% of MUHC donors, respectively. No discrepancies in eplet load or PIRCHE-II were observed in 96.5% and 86.0% of HSC donor-recipient pairs and in 70.2% and 70.1% of pairs for HLA-A, -B and -C and -DRB1 and -DQB1, respectively. Kappa statistics of 0.9708 and 0.9725, 0.8724 and 0.8177, 0.9827 and 0.9022, 0.5644 and 0.4939, 0.5085 and 0.6361 were demonstrated when assessing agreement between eplet mismatches and PIRCHE-II of imputed vs. measured HLA-A, -B, -C, -DRB1 and -DQB1 types, respectively.
CONCLUSIONS: To avoid inaccuracies in epitope compatibility estimation, mainly for class II HLA, multi-locus allele-level genotype measurement is recommended. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Epitope; Eplet; HLAMatchmaker; HaploStats; Histocompatibility; PIRCHE

Year:  2018        PMID: 29888504     DOI: 10.1111/tan.13307

Source DB:  PubMed          Journal:  HLA        ISSN: 2059-2302            Impact factor:   4.513


  4 in total

1.  Combined Analysis of HLA Class II Eplet Mismatch and Tacrolimus Levels for the Prediction of De Novo Donor Specific Antibody Development in Kidney Transplant Recipients.

Authors:  Hyeyoung Lee; Ji Won Min; Hyunhye Kang; Hanbi Lee; Sang Hun Eum; Yohan Park; Chul Woo Yang; Byung Ha Chung; Eun-Jee Oh
Journal:  Int J Mol Sci       Date:  2022-07-01       Impact factor: 6.208

2.  Editorial: Future challenges and directions in determining allo-immunity in kidney transplantation.

Authors:  Wai H Lim; Julie Ho; Vasilis Kosmoliaptsis; Ruth Sapir-Pichhadze
Journal:  Front Immunol       Date:  2022-08-31       Impact factor: 8.786

3.  On Path to Informing Hierarchy of Eplet Mismatches as Determinants of Kidney Transplant Loss.

Authors:  Hossein Mohammadhassanzadeh; Karim Oualkacha; Wenmin Zhang; William Klement; Amelie Bourdiec; Jennat Lamsatfi; Yang Yi; Bethany Foster; Paul Keown; Howard M Gebel; Frans Claas; Ruth Sapir-Pichhadze
Journal:  Kidney Int Rep       Date:  2021-03-30

4.  Clinical importance of extended second field high-resolution HLA genotyping for kidney transplantation.

Authors:  Aleksandar Senev; Marie-Paule Emonds; Vicky Van Sandt; Evelyne Lerut; Maarten Coemans; Ben Sprangers; Dirk Kuypers; Maarten Naesens
Journal:  Am J Transplant       Date:  2020-05-15       Impact factor: 8.086

  4 in total

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