Evidence map›Paper›PMID 20221424›Full record

ArticlePloS one2010

The type 1 diabetes - HLA susceptibility interactome--identification of HLA genotype-specific disease genes for type 1 diabetes.

Caroline Brorsson, Niclas Tue Hansen, Regine Bergholdt, Søren Brunak, Flemming Pociot

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Zonulin, regulation of tight junctions, and autoimmune diseases.Annals of the New York Academy of Sciences · 2012
    Review
  10. Article
  11. Genetics of type 1 diabetes.Cold Spring Harbor perspectives in medicine · 2012
    Review
  12. 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

5 authors at 2 institutions in 2 countries.

Caroline BrorssonHagedorn Research Institute and Steno Diabetes Center, Gentofte, Denmark. cbss@hagedorn.dk
Niclas Tue Hansen
Regine Bergholdt
Søren Brunak
Flemming Pociot
Steno Diabetes Center · DKTechnical University of Denmark · DK

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
NIDDK NIH HHS U01 DK062418
6 · The paper itself

Abstract

backgroundThe individual contribution of genes in the HLA region to the risk of developing type 1 diabetes (T1D) is confounded by the high linkage disequilibrium (LD) in this region. Using a novel approach we have combined genetic association data with information on functional protein-protein interactions to elucidate risk independent of LD and to place the genetic association into a functional context. METHODOLOGY/PRINCIPAL

findingsGenetic association data from 2300 single nucleotide polymorphisms (SNPs) in the HLA region was analysed in 2200 T1D family trios divided into six risk groups based on HLA-DRB1 genotypes. The best SNP signal in each gene was mapped to proteins in a human protein interaction network and their significance of clustering in functional network modules was evaluated. The significant network modules identified through this approach differed between the six HLA risk groups, which could be divided into two groups based on carrying the DRB1*0301 or the DRB1*0401 allele. Proteins identified in networks specific for DRB1*0301 carriers were involved in stress response and inflammation whereas in DRB1*0401 carriers the proteins were involved in antigen processing and presentation. CONCLUSIONS/SIGNIFICANCE: In this study we were able to hypothesise functional differences between individuals with T1D carrying specific DRB1 alleles. The results point at candidate proteins involved in distinct cellular processes that could not only help the understanding of the pathogenesis of T1D, but also the distinction between individuals at different genetic risk for developing T1D.

Indexed as

Genetic Predisposition to DiseaseGenotypeAllelesCluster AnalysisCohort StudiesDiabetes Mellitus, Type 1Family HealthHLA AntigensHLA-DR AntigensHLA-DRB1 ChainsHumansLinkage DisequilibriumModels, GeneticPolymorphism, Single NucleotideProtein Interaction MappingRiskHLA AntigensHLA-DR AntigensHLA-DRB1*03:01 antigenHLA-DRB1*04:01 antigenHLA-DRB1 Chains

Identifiers

PMID20221424
PMCPMC2832689
OpenAlexW1973862472

What OpenQuestion holds

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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.