Evidence map›Paper›PMID 31970929›Full record

ArticleHLA2020

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

Carolyn K Hurley, Jane Kempenich, Kim Wadsworth, Jürgen Sauter, Jan A Hofmann, Daniel Schefzyk, Alexander H Schmidt, Pablo Galarza, Maria B R Cardozo, Malgorzata Dudkiewicz and 28 more

Abstract read
In one paragraph

Article in HLA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Preclinical Characterization of CLSP-1025, a First-in-Class, Mutation-Specific T-Cell Engager Targeting a Neoantigen Derived from a Common p53 Mutation.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  13. Classical HLA Allele and Haplotype Frequency Estimates in US Populations.bioRxiv : the preprint server for biology · 2026
    Article
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  20. Article

32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors.

Carolyn K HurleyDepartment of Oncology, Georgetown University, Washington, District of Columbia.ORCID 0000-0002-3528-9575
Jane KempenichNational Marrow Donor Program, Minneapolis, Minnesota.
Kim WadsworthNational Marrow Donor Program, Minneapolis, Minnesota.
Jürgen SauterDKMS, Tübingen, Germany.
Jan A HofmannDKMS, Tübingen, Germany.
Daniel SchefzykDKMS, Tübingen, Germany.
Alexander H SchmidtDKMS, Tübingen, Germany.
Pablo GalarzaArgentine HSC Donors Registry, Buenos Aires, Argentina.
Maria B R CardozoArgentine HSC Donors Registry, Buenos Aires, Argentina.
Malgorzata DudkiewiczCentral Unrelated Potential Bone Marrow Donor and Cord Blood Registry POLTRANSPLANT, Warsaw, Poland.
Lucie HoudovaUniversity of West Bohemia, New Technologies for the Information Society, Pilsen, Czech Republic.
Pavel JindraCzech National Marrow Donors Registry and University Hospital Pilsen, Pilsen, Czech Republic.
Betina S SorensenDanish Stem Cell Donors-West, Aarhus University Hospital, Aarhus, Denmark.
Latha JagannathanDKMS BMST Foundation India, Bangalore, India.
Ankit MathurBangalore Medical Services Trust, Bangalore, India.
Tiina LinjamaFinnish Stem Cell Registry, Helsinki, Finland.
Tigran TorosianFundacja DKMS, Warsaw, Poland.
Rafi FreudenbergerGift of Life Marrow Registry, Florida.
Anastasios ManolisHellenic Transplant Organization (HTO), Athens, Greece.
John MavrommatisHellenic Transplant Organization (HTO), Athens, Greece.
Nezih CerebDATRI Blood Stem Cell Donor Registry, Chennai, India.
Sigal ManorIsrael-Ezer Mizion Bone Marrow Donor Registry, Bnei Brak, Israel.
Nira ShrikiIsrael-Ezer Mizion Bone Marrow Donor Registry, Bnei Brak, Israel.
Nicoletta SacchiItalian Bone Marrow Donor Registry, Genoa, Italy.
Reem AmeenKuwait National Stem Cell Registry, Jabriya, Kuwait.
Raewyn FisherNew Zealand Bone Marrow Donor Registry, Auckland, New Zealand.
Heather DunckleyNew Zealand Blood Service, Auckland, New Zealand.
Irene AndersenNorwegian Bone Marrow Donor Registry, Oslo, Norway.
Ahmed AlaskarSaudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Mohsen AlzahraniSaudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Ali HajeerSaudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.ORCID 0000-0003-2727-9964
Dunia JawdatSaudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.ORCID 0000-0002-3615-2909
Grazia NicolosoSwiss Blood Stem Cells, Bern, Switzerland.
Pawinee KupatawintuThai National Stem Cell Donor Registry, Bangkok, Thailand.
Louise ChoThe Bone Marrow Donor Programme, Singapore.
Ashminder KaurThe Bone Marrow Donor Programme, Singapore.
Mats BengtssonTobias Registry of Swedish Bone Marrow Donors and Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2612-0724
Jason DehnNational Marrow Donor Program, Minneapolis, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AllelesGenetics, PopulationGene FrequencyHaplotypesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansHistocompatibility Antigens Class IHistocompatibility Antigens Class IIallelesethnic groupsgene frequencyHLA

Identifiers

PMID31970929
PMCPMC7317522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.