Evidence map›Paper›PMID 23584834›Full record

ArticleDatabase : the journal of biological databases and curation2013

A database for curating the associations between killer cell immunoglobulin-like receptors and diseases in worldwide populations.

Louise Y C Takeshita, Faviel F Gonzalez-Galarza, Eduardo J M dos Santos, Maria Helena T Maia, Mushome M Rahman, Syed M S Zain, Derek Middleton, Andrew R Jones

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Virtual Memory CD8Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Insights into the Interplay between KIR Gene Frequencies and Chronic HBV Infection in Burkina Faso.Mediterranean journal of hematology and infectious diseases · 2018
    Article
  11. Article
  12. Article
  13. A web resource for mining HLA associations with adverse drug reactions: HLA-ADR.Database : the journal of biological databases and curation · 2016
    Article
  14. Article
  15. Allele frequencies database.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2014
    Review
  16. Review
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 1 institution in 1 country.

Louise Y C TakeshitaInstitute of Integrative Biology, Functional and Comparative Genomics, University of Liverpool, Liverpool, L69 7ZB, UK. L.Takeshita@liverpool.ac.uk
Faviel F Gonzalez-Galarza
Eduardo J M dos Santos
Maria Helena T Maia
Mushome M Rahman
Syed M S Zain
Derek Middleton
Andrew R Jones
University of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The killer cell immunoglobulin-like receptors (KIR) play a fundamental role in the innate immune system, through their interactions with human leucocyte antigen (HLA) molecules, leading to the modulation of activity in natural killer (NK) cells, mainly related to killing pathogen-infected cells. KIR genes are hugely polymorphic both in the number of genes an individual carries and in the number of alleles identified. We have previously developed the Allele Frequency Net Database (AFND, http://www.allelefrequencies.net), which captures worldwide frequencies of alleles, genes and haplotypes for several immune genes, including KIR genes, in healthy populations, covering >4 million individuals. Here, we report the creation of a new database within AFND, named KIR and Diseases Database (KDDB), capturing a large quantity of data derived from publications in which KIR genes, alleles, genotypes and/or haplotypes have been associated with infectious diseases (e.g. hepatitis C, HIV, malaria), autoimmune disorders (e.g. type I diabetes, rheumatoid arthritis), cancer and pregnancy-related complications. KDDB has been created through an extensive manual curation effort, extracting data on more than a thousand KIR-disease records, comprising >50 000 individuals. KDDB thus provides a new community resource for understanding not only how KIR genes are associated with disease, but also, by working in tandem with the large data sets already present in AFND, where particular genes, genotypes or haplotypes are present in worldwide populations or different ethnic groups. We anticipate that KDDB will be an important resource for researchers working in immunogenetics. Database URL: http://www.allelefrequencies.net/diseases/.

Indexed as

Databases, GeneticData MiningGenetic Association StudiesGenetic Predisposition to DiseaseInternationalityDiseaseGenetics, PopulationHumansInternetReceptors, KIRSearch EngineReceptors, KIR

Identifiers

PMID23584834
PMCPMC3625957
OpenAlexW2102161245

What OpenQuestion holds

Textmetadata
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.