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

Carolyn Katovich HurleyJane KempenichKim WadsworthJürgen SauterJan A HofmannDaniel SchefzykAlexander H SchmidtPablo GalarzaMaria B R CardozoMalgorzata DudkiewiczLucie HoudovaPavel JindraBetina S SorensenLatha JagannathanAnkit MathurTiina LinjamaTigran TorosianRafi FreudenbergerAnastasios ManolisJohn MavrommatisNezih CerebSigal ManorNira ShrikiNicoletta SacchiReem AmeenRaewyn FisherHeather DunckleyIrene AndersenAhmed AlaskarMohsen AlzahraniAli H HajeerDunia JawdatGrazia NicolosoPawinee KupatawintuLouise ChoAshminder KaurMats BengtssonJason Dehn
Published in: HLA (2020)
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.
Keyphrases
  • electronic health record
  • big data
  • hematopoietic stem cell
  • psychometric properties
  • single molecule
  • machine learning