{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:42:57Z","timestamp":1780483377368,"version":"3.54.1"},"reference-count":28,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Immunology Research"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>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<jats:italic> ln(PIRCHE-II)<\/jats:italic>\/<jats:italic>ln(eplet)<\/jats:italic> values did not or only slightly deviate from the reference group of high-resolution HLA-determined<jats:italic> ln(PIRCHE-II)<\/jats:italic>\/<jats:italic>ln(eplet)<\/jats:italic> 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.<\/jats:p>","DOI":"10.1155\/2017\/9130879","type":"journal-article","created":{"date-parts":[[2017,2,12]],"date-time":"2017-02-12T16:01:27Z","timestamp":1486915287000},"page":"1-9","source":"Crossref","is-referenced-by-count":45,"title":["Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1689-8383","authenticated-orcid":true,"given":"Kirsten","family":"Geneugelijk","sequence":"first","affiliation":[{"name":"Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeroen","family":"Wissing","sequence":"additional","affiliation":[{"name":"Laboratory of Translational Immunology, University 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