Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation
Joint Authors
Geneugelijk, Kirsten
Spierings, Eric
Wissing, Jeroen
Koppenaal, Dirk
Niemann, Matthias
Source
Journal of Immunology Research
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Epitope-based HLA matching has been emerged over the last few years as an improved method for HLA matching in solid organ transplantation.
The epitope-based matching concept has been incorporated in both the PIRCHE-II and the HLAMatchmaker algorithm to find the most suitable donor for a recipient.
For these algorithms, high-resolution HLA genotype data of both donor and recipient is required.
Since high-resolution HLA genotype data is often not available, we developed a computational method which allows epitope-based HLA matching from serological split level HLA typing relying on HLA haplotype frequencies.
To validate this method, we simulated a donor-recipient population for which PIRCHE-II and eplet values were calculated when using both high-resolution HLA genotype data and serological split level HLA typing.
The majority of the serological split level HLA-determined ln(PIRCHE-II)/ln(eplet) values did not or only slightly deviate from the reference group of high-resolution HLA-determined ln(PIRCHE-II)/ln(eplet) values.
This deviation was slightly increased when HLA-C or HLA-DQ was omitted from the input and was substantially decreased when using two-field resolution HLA genotype data of the recipient and serological split level HLA typing of the donor.
Thus, our data suggest that our computational approach is a powerful tool to estimate PIRCHE-II/eplet values when high-resolution HLA genotype data is not available.
American Psychological Association (APA)
Geneugelijk, Kirsten& Wissing, Jeroen& Koppenaal, Dirk& Niemann, Matthias& Spierings, Eric. 2017. Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation. Journal of Immunology Research،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1182224
Modern Language Association (MLA)
Geneugelijk, Kirsten…[et al.]. Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation. Journal of Immunology Research No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1182224
American Medical Association (AMA)
Geneugelijk, Kirsten& Wissing, Jeroen& Koppenaal, Dirk& Niemann, Matthias& Spierings, Eric. Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation. Journal of Immunology Research. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1182224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182224