The impact of HLA-C matching on donor identification rates in a European Caucasian population

The degree of HLA concordance with the patient has long been known to be the major donor-related prediction factor for the success of hematopoietic stem cell transplantations and, with the progress of HLA typing technology, selection criteria became more stringent with regard to the recommended loci...

Full description

Bibliographic Details
Main Authors: Hans-Peter eEberhard, Carlheinz Rudolf Müller
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-10-01
Series:Frontiers in Immunology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fimmu.2014.00501/full
id doaj-e1ecac792f7a490cb2f36ac51e92cf41
record_format Article
spelling doaj-e1ecac792f7a490cb2f36ac51e92cf412020-11-25T00:52:22ZengFrontiers Media S.A.Frontiers in Immunology1664-32242014-10-01510.3389/fimmu.2014.00501109530The impact of HLA-C matching on donor identification rates in a European Caucasian populationHans-Peter eEberhard0Carlheinz Rudolf Müller1Zentrales Knochenmarkspender-Register Deutschland (ZKRD)Zentrales Knochenmarkspender-Register Deutschland (ZKRD)The degree of HLA concordance with the patient has long been known to be the major donor-related prediction factor for the success of hematopoietic stem cell transplantations and, with the progress of HLA typing technology, selection criteria became more stringent with regard to the recommended loci and resolution. A late refinement was HLA-C matching which gained broader acceptance only after the turn of the millennium.The enormous HLA polymorphism has always necessitated registries with a large number of donors in order to be able to provide well-matched donors to a substantial fraction of patients. Using a biostatistical approach, we investigated the impact of adding HLA-C at low or high resolution as a supplementary matching criterion on some key parameters in donor provision for a European Caucasian population. Starting point is donor selection based on allele level matching for HLA A, B, -DRB1 and, optionally, HLA-DQB1.Without typing for HLA-C, 68 % of the donors selected based on matching for HLA A, B, DRB1 and -DQB1 at high resolution will also match for HLA-C, 29 % will have a single and only 3 % will have two HLA-C alleles different from the patient. In order to provide the same fraction of patients with a fully-matched donor, a registry would have to be about twice the size if HLA-C is considered in addition to the four other loci, with the exact factor increasing with the registry’s size. If the provision of donors with up to a single allele mismatch is considered, this factor doubles due to the strong linkage between HLA-B and -C. These figures only change slightly when HLA-DQB1 is completely ignored or HLA-C matching is only considered at low resolution.Our results contribute to quantifying the medical and economic impact of the progress in donor selection algorithms.http://journal.frontiersin.org/Journal/10.3389/fimmu.2014.00501/fullHematopoietic Stem Cell TransplantationHLA-Chaplotype frequency estimationdonor registrydonor-patient matchingdonor identification rate
collection DOAJ
language English
format Article
sources DOAJ
author Hans-Peter eEberhard
Carlheinz Rudolf Müller
spellingShingle Hans-Peter eEberhard
Carlheinz Rudolf Müller
The impact of HLA-C matching on donor identification rates in a European Caucasian population
Frontiers in Immunology
Hematopoietic Stem Cell Transplantation
HLA-C
haplotype frequency estimation
donor registry
donor-patient matching
donor identification rate
author_facet Hans-Peter eEberhard
Carlheinz Rudolf Müller
author_sort Hans-Peter eEberhard
title The impact of HLA-C matching on donor identification rates in a European Caucasian population
title_short The impact of HLA-C matching on donor identification rates in a European Caucasian population
title_full The impact of HLA-C matching on donor identification rates in a European Caucasian population
title_fullStr The impact of HLA-C matching on donor identification rates in a European Caucasian population
title_full_unstemmed The impact of HLA-C matching on donor identification rates in a European Caucasian population
title_sort impact of hla-c matching on donor identification rates in a european caucasian population
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2014-10-01
description The degree of HLA concordance with the patient has long been known to be the major donor-related prediction factor for the success of hematopoietic stem cell transplantations and, with the progress of HLA typing technology, selection criteria became more stringent with regard to the recommended loci and resolution. A late refinement was HLA-C matching which gained broader acceptance only after the turn of the millennium.The enormous HLA polymorphism has always necessitated registries with a large number of donors in order to be able to provide well-matched donors to a substantial fraction of patients. Using a biostatistical approach, we investigated the impact of adding HLA-C at low or high resolution as a supplementary matching criterion on some key parameters in donor provision for a European Caucasian population. Starting point is donor selection based on allele level matching for HLA A, B, -DRB1 and, optionally, HLA-DQB1.Without typing for HLA-C, 68 % of the donors selected based on matching for HLA A, B, DRB1 and -DQB1 at high resolution will also match for HLA-C, 29 % will have a single and only 3 % will have two HLA-C alleles different from the patient. In order to provide the same fraction of patients with a fully-matched donor, a registry would have to be about twice the size if HLA-C is considered in addition to the four other loci, with the exact factor increasing with the registry’s size. If the provision of donors with up to a single allele mismatch is considered, this factor doubles due to the strong linkage between HLA-B and -C. These figures only change slightly when HLA-DQB1 is completely ignored or HLA-C matching is only considered at low resolution.Our results contribute to quantifying the medical and economic impact of the progress in donor selection algorithms.
topic Hematopoietic Stem Cell Transplantation
HLA-C
haplotype frequency estimation
donor registry
donor-patient matching
donor identification rate
url http://journal.frontiersin.org/Journal/10.3389/fimmu.2014.00501/full
work_keys_str_mv AT hanspetereeberhard theimpactofhlacmatchingondonoridentificationratesinaeuropeancaucasianpopulation
AT carlheinzrudolfmuller theimpactofhlacmatchingondonoridentificationratesinaeuropeancaucasianpopulation
AT hanspetereeberhard impactofhlacmatchingondonoridentificationratesinaeuropeancaucasianpopulation
AT carlheinzrudolfmuller impactofhlacmatchingondonoridentificationratesinaeuropeancaucasianpopulation
_version_ 1725242760501395456