Evidence map›Paper›PMID 33719220›Full record

ArticleHLA2021

Standard reference sequences for submission of HLA genotyping for the 18th International HLA and Immunogenetics Workshop.

Benedict M Matern, Steven J Mack, Kazutoyo Osoegawa, Martin Maiers, Matthias Niemann, James Robinson, Sebastiaan Heidt, Eric Spierings

Open access · hybridAbstract read
In one paragraph

Article in HLA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 44% of its field
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

8 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Classical HLA Allele and Haplotype Frequency Estimates in US Populations.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 5 countries.

Benedict M MaternCenter of Translational Immunology, UMC Utrecht, Utrecht, the Netherlands.ORCID 0000-0002-9548-732X
Steven J MackDepartment of Pediatrics, University of California, Oakland, California, USA.
Kazutoyo OsoegawaHistocompatibility and Immunogenetics Laboratory, Stanford Blood Center, Palo Alto, California, USA.
Martin MaiersBioinformatics, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota, USA.
Matthias NiemannResearch and Development, PIRCHE AG, Berlin, Germany.
James RobinsonAnthony Nolan Research Institute, Royal Free Campus, London, UK.ORCID 0000-0002-2187-5944
Sebastiaan HeidtDepartment of Immunology, Leiden University Medical Center, Leiden, the Netherlands.
Eric SpieringsCenter of Translational Immunology, UMC Utrecht, Utrecht, the Netherlands.
University Medical Center Utrecht · NLAnthony Nolan · GBLeiden University Medical Center · NLNational Marrow Donor Program · USRoche (Switzerland) · CHStanford Blood Center · USUniversity of California System · US

Funding

Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
NIAID NIH HHS R01 AI128775
6 · The paper itself

Abstract

The International human leukocyte antigen (HLA) and Immunogenetics Workshops (IHIWs) have fostered international collaborations of researchers and experts in the fields of HLA, histocompatibility and immunology. These IHIW collaborations have comprised many projects focused on achieving a variety of specific goals. The international and collaborative nature of these projects necessitates the collection and analysis of complex data generated in multiple laboratories, often using multiple methods of acquisition. Collection and storage of these data in a consistent way adds value to IHIW projects, which can be extended to future work. DNA-based genotyping data, especially HLA genotyping data, can be transmitted in the form of a Histoimmunogenetics Markup Language (HML) document. HML facilitates clear communication of a genotype and supporting metadata, such as, sequencing platform, laboratory assays, consensus sequence, and interpretation. Sequence information can be reported relative to known reference sequences, which add meaning and context to genotypes. Selecting the correct reference sequence for a given allele sequence is nuanced, and guidelines have emerged through collaborative community efforts such as Data Standards Hackathons. Here, we describe the guidelines established for the selection of reference sequences to be used in transmission of HLA (and MICA/MICB) genotyping data for the 18th IHIW.

Indexed as

HLA AntigensImmunogeneticsAllelesGenotypeHistocompatibility Antigens Class IHistocompatibility TestingHumansHistocompatibility Antigens Class IHLA AntigensHLAHMLIHIWreference sequenceworkshop

Identifiers

PMID33719220
PMCPMC8251737
OpenAlexW3139369412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.