Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation
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. F...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2017/9130879 |
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| author | Kirsten Geneugelijk Jeroen Wissing Dirk Koppenaal Matthias Niemann Eric Spierings |
| author_facet | Kirsten Geneugelijk Jeroen Wissing Dirk Koppenaal Matthias Niemann Eric Spierings |
| author_sort | Kirsten Geneugelijk |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-20492322e9fa46a8aaf6d30ea380e685 |
| institution | Kabale University |
| issn | 2314-8861 2314-7156 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Immunology Research |
| spelling | doaj-art-20492322e9fa46a8aaf6d30ea380e6852025-02-03T05:46:39ZengWileyJournal of Immunology Research2314-88612314-71562017-01-01201710.1155/2017/91308799130879Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ TransplantationKirsten Geneugelijk0Jeroen Wissing1Dirk Koppenaal2Matthias Niemann3Eric Spierings4Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, NetherlandsLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, NetherlandsLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, NetherlandsPIRCHE AG, Berlin, GermanyLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, NetherlandsEpitope-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.http://dx.doi.org/10.1155/2017/9130879 |
| spellingShingle | Kirsten Geneugelijk Jeroen Wissing Dirk Koppenaal Matthias Niemann Eric Spierings Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation Journal of Immunology Research |
| title | Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation |
| title_full | Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation |
| title_fullStr | Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation |
| title_full_unstemmed | Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation |
| title_short | Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation |
| title_sort | computational approaches to facilitate epitope based hla matching in solid organ transplantation |
| url | http://dx.doi.org/10.1155/2017/9130879 |
| work_keys_str_mv | AT kirstengeneugelijk computationalapproachestofacilitateepitopebasedhlamatchinginsolidorgantransplantation AT jeroenwissing computationalapproachestofacilitateepitopebasedhlamatchinginsolidorgantransplantation AT dirkkoppenaal computationalapproachestofacilitateepitopebasedhlamatchinginsolidorgantransplantation AT matthiasniemann computationalapproachestofacilitateepitopebasedhlamatchinginsolidorgantransplantation AT ericspierings computationalapproachestofacilitateepitopebasedhlamatchinginsolidorgantransplantation |