Evidence map›Paper›PMID 23180793›Full record

ArticleNucleic acids research2013

IPD--the Immuno Polymorphism Database.

James Robinson, Jason A Halliwell, Hamish McWilliam, Rodrigo Lopez, Steven G E Marsh

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
–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

129 citing papers in PubMed.

  1. Article
  2. Article
  3. A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Frontiers in genetics · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Accurate modeling of peptide-MHC structures with AlphaFold.Structure (London, England : 1993) · 2024
    Article
  17. Full resolution HLA and KIR genes annotation for human genome assemblies.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Article

69 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

5 authors.

James RobinsonAnthony Nolan Research Institute, Royal Free Hospital, Pond Street, Hampstead, London NW3 2QG, UK.
Jason A Halliwell
Hamish McWilliam
Rodrigo Lopez
Steven G E Marsh

Funding

PHS HHS P01111 412
6 · The paper itself

Abstract

The Immuno Polymorphism Database (IPD), http://www.ebi.ac.uk/ipd/ is a set of specialist databases related to the study of polymorphic genes in the immune system. The IPD project works with specialist groups or nomenclature committees who provide and curate individual sections before they are submitted to IPD for online publication. The IPD project stores all the data in a set of related databases. IPD currently consists of four databases: IPD-KIR, contains the allelic sequences of killer-cell immunoglobulin-like receptors, IPD-MHC, a database of sequences of the major histocompatibility complex of different species; IPD-HPA, alloantigens expressed only on platelets; and IPD-ESTDAB, which provides access to the European Searchable Tumour Cell-Line Database, a cell bank of immunologically characterized melanoma cell lines. The data is currently available online from the website and FTP directory. This article describes the latest updates and additional tools added to the IPD project.

Indexed as

Databases, GeneticMajor Histocompatibility ComplexPolymorphism, GeneticAntigens, Human PlateletCell Line, TumorHumansInternetMelanomaReceptors, KIRAntigens, Human PlateletReceptors, KIR

Identifiers

PMID23180793
PMCPMC3531162

What OpenQuestion holds

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LicenceCC BY-NC
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.