Evidence map›Paper›PMID 31667505›Full record

ArticleNucleic acids research2020

IPD-IMGT/HLA Database.

James Robinson, Dominic J Barker, Xenia Georgiou, Michael A Cooper, Paul Flicek, Steven G E Marsh

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 411 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
411citing papers in PubMed, 2 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

411 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Shared trans-ancestry architecture of HLA-mediated disease risk in themedRxiv : the preprint server for health sciences · 2026
    Article
  12. Article
  13. Decoding the human CD4Cell reports. Medicine · 2026
    Article
  14. Article
  15. HLA Alleles and Haplotype Distribution Across Russian Population Groups.International journal of molecular sciences · 2026
    Article
  16. Article
  17. Article
  18. Computational design of HLA class I superbinders for broad T cell immunogenicity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Review
  20. Article

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

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

6 authors.

James RobinsonAnthony Nolan Research Institute, London, UK.
Dominic J BarkerAnthony Nolan Research Institute, London, UK.
Xenia GeorgiouAnthony Nolan Research Institute, London, UK.
Michael A CooperAnthony Nolan Research Institute, London, UK.
Paul FlicekEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.
Steven G E MarshAnthony Nolan Research Institute, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polymorphism seen exceed most other genes. Some of the genes have several thousand variants and are now termed hyperpolymorphic, rather than just simply polymorphic. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this information, providing the scientific and medical community access to the many variant sequences of this gene system, that are critical for the successful outcome of transplantation. The number of currently known variants, and dramatic increase in the number of new variants being identified has necessitated a dedicated resource with custom tools for curation and publication. The challenge for the database is to continue to provide a highly curated database of sequence variants, while supporting the increased number of submissions and complexity of sequences. In order to do this, traditional methods of accessing and presenting data will be challenged, and new methods will need to be utilized to keep pace with new discoveries.

Indexed as

AllelesComputational BiologyDatabases, GeneticSoftwareHigh-Throughput Nucleotide SequencingHistocompatibility AntigensHumansMajor Histocompatibility ComplexWeb BrowserHistocompatibility Antigens

Identifiers

PMID31667505
PMCPMC7145640

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.