An update to the HLA Nomenclature Guidelines of the World Marrow Donor Association, 2012

Bochtler, Werner; Maiers, Martin; Bakker, J N A; Baier, Daniel M.; Hofmann, Jan A.; Pingel, Julia; Rist, H-G; Oudshoorn, Machteld; Marsh, Steven G.E.; Müller, Carlheinz; Hurley, Carolyn Katovich

doi:10.1038/bmt.2013.93

Cited by 14 publications

(10 citation statements)

References 9 publications

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“…Assignments include only alleles found in IPD‐IMGT/HLA version 3.31.0 from January 2018 . All assignments are evaluated as submitted with the following exceptions (also described in Supporting Information Table S2): (a) HLA assignments provided as an NMDP multiple allele code, defined with only alleles in a single G group, are converted to the respective G nomenclature. (b) Multiple allele‐coded assignments that are not the equivalent of a G assignment (eg, A*01:ANDKJ includes A*01:01 but also A*01:52 which is not included in A*01:01:01G ) are merged.…”

Section: Methodsmentioning

confidence: 99%

Common, intermediate and well‐documented HLA alleles in world populations: CIWD version 3.0.0

Hurley

Kempenich

Wadsworth

et al. 2020

HLA

106

109

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A catalog of common, intermediate and well‐documented (CIWD) HLA‐A, ‐B, ‐C, ‐DRB1, ‐DRB3, ‐DRB4, ‐DRB5, ‐DQB1 and ‐DPB1 alleles has been compiled from over 8 million individuals using data from 20 unrelated hematopoietic stem cell volunteer donor registries. Individuals are divided into seven geographic/ancestral/ethnic groups and data are summarized for each group and for the total population. P (two‐field) and G group assignments are divided into one of four frequency categories: common (≥1 in 10 000), intermediate (≥1 in 100 000), well‐documented (≥5 occurrences) or not‐CIWD. Overall 26% of alleles in IPD‐IMGT/HLA version 3.31.0 at P group resolution fall into the three CIWD categories. The two‐field catalog includes 18% (n = 545) common, 17% (n = 513) intermediate, and 65% (n = 1997) well‐documented alleles. Full‐field allele frequency data are provided but are limited in value by the variations in resolution used by the registries. A recommended CIWD list is based on the most frequent category in the total or any of the seven geographic/ancestral/ethnic groups. Data are also provided so users can compile a catalog specific to the population groups that they serve. Comparisons are made to three previous CWD reports representing more limited population groups. This catalog, CIWD version 3.0.0, is a step closer to the collection of global HLA frequencies and to a clearer view of HLA diversity in the human population as a whole.

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Section: Methodsmentioning

confidence: 99%

Common, intermediate and well‐documented HLA alleles in world populations: CIWD version 3.0.0

Hurley

Kempenich

Wadsworth

et al. 2020

HLA

106

109

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“…However, a result of ‘P;0’ is given to cases where overlapping genotypes do exist and the match probability rounds down to 0. R10 The calculation of the matching predictions has to consider all theoretically possible haplotypes/diplotypes (i.e. no trimming of the set of possible diplotypes). R11 Multiple allele codes that have been discontinued have to be reasonably reinterpreted within the current HLA nomenclature.…”

Section: Methodsmentioning

confidence: 99%

“…no trimming of the set of possible diplotypes). R11 Multiple allele codes that have been discontinued (26) have to be reasonably reinterpreted within the current HLA nomenclature.…”

Section: General Requirementsmentioning

confidence: 99%

A comparative reference study for the validation of HLA‐matching algorithms in the search for allogeneic hematopoietic stem cell donors and cord blood units

Bochtler

Gragert

Patel

et al. 2016

HLA

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The accuracy of human leukocyte antigen (HLA)‐matching algorithms is a prerequisite for the correct and efficient identification of optimal unrelated donors for patients requiring hematopoietic stem cell transplantation. The goal of this World Marrow Donor Association study was to validate established matching algorithms from different international donor registries by challenging them with simulated input data and subsequently comparing the output. This experiment addressed three specific aspects of HLA matching using different data sets for tasks of increasing complexity. The first two tasks targeted the traditional matching approach identifying discrepancies between patient and donor HLA genotypes by counting antigen and allele differences. Contemporary matching procedures predicting the probability for HLA identity using haplotype frequencies were addressed by the third task. In each task, the identified disparities between the results of the participating computer programs were analyzed, classified and quantified. This study led to a deep understanding of the algorithms participating and finally produced virtually identical results. The unresolved discrepancies total to less than 1%, 4% and 2% for the three tasks and are mostly because of individual decisions in the design of the programs. Based on these findings, reference results for the three input data sets were compiled that can be used to validate future matching algorithms and thus improve the quality of the global donor search process.

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“…We have estimated five-locus HLA-A, -B, -C, -DRB1, -DQB1 HF at high resolution (i.e., using the first two fields of the allele names) from a snapshot of the German donor database at the ZKRD (Zentrales Knochenmarkspender-Register Deutschland, i.e., the German National Stem Cell Donor Registry) from May 2014, including 2,001,575 individuals with HLA designations at molecular level for HLA-A, -B, -C, -DRB1, and -DQB1. All HLA assignments used are based on the IMGT/HLA Database Release 3.16.0, 2014-04-14 ( 27 ) and the World Marrow Donor Association guidelines for the use of the HLA nomenclature ( 28 , 29 ).…”

Section: Methodsmentioning

confidence: 99%

The Impact of HLA-C Matching on Donor Identification Rates in a European-Caucasian Population

Eberhard

Müller

2014

Front. Immunol.

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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.

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An update to the HLA Nomenclature Guidelines of the World Marrow Donor Association, 2012

Cited by 14 publications

References 9 publications

Common, intermediate and well‐documented HLA alleles in world populations: CIWD version 3.0.0

Common, intermediate and well‐documented HLA alleles in world populations: CIWD version 3.0.0

A comparative reference study for the validation of HLA‐matching algorithms in the search for allogeneic hematopoietic stem cell donors and cord blood units

The Impact of HLA-C Matching on Donor Identification Rates in a European-Caucasian Population

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