Evidence map›Paper›PMID 19956100›Full record

ArticleGenes and immunity2009

No association of the IRS1 and PAX4 genes with type I diabetes.

R Bergholdt, C Brorsson, B Boehm, G Morahan, F Pociot, Type I Diabetes Genetics Consortium

Abstract read
In one paragraph

Article in Genes and immunity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Use of nonobese diabetic mice to understand human type 1 diabetes.Endocrinology and metabolism clinics of North America · 2010
    Review
  2. Article
  3. Article
  4. 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

6 authors.

R BergholdtHagedorn Research Institute and Steno Diabetes Center, Niels Steensens Vej 1, Gentofte, Denmark.
C Brorsson
B Boehm
G Morahan
F Pociot
Type I Diabetes Genetics Consortium

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
AN NCRR CENTER FOR HIGH THROUGHPUT SNP GENOTYPING AND ANALYSIS: GAIN NETWORKU54RR020278 · NCRR · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2004 to 2008
$14.4M
NCRR NIH HHS U54 RR020278NIDDK NIH HHS U01 DK062418
6 · The paper itself

Abstract

To reassess earlier suggested type I diabetes (T1D) associations of the insulin receptor substrate 1 (IRS1) and the paired domain 4 gene (PAX4) genes, the Type I Diabetes Genetics Consortium (T1DGC) evaluated single-nucleotide polymorphisms (SNPs) covering the two genomic regions. Sixteen SNPs were evaluated for IRS1 and 10 for PAX4. Both genes are biological candidate genes for T1D. Genotyping was performed in 2300 T1D families on both Illumina and Sequenom genotyping platforms. Data quality and concordance between the platforms were assessed for each SNP. Transmission disequilibrium testing neither show T1D association of SNPs in the two genes, nor did haplotype analysis. In conclusion, the earlier suggested associations of IRS1 and PAX4 to T1D were not supported, suggesting that they may have been false positive results. This highlights the importance of thorough quality control, selection of tagging SNPs, more than one genotyping platform in high throughput studies, and sufficient power to draw solid conclusions in genetic studies of human complex diseases.

Indexed as

Polymorphism, Single NucleotideDiabetes Mellitus, Type 1Genetic Predisposition to DiseaseHomeodomain ProteinsHumansInsulin Receptor Substrate ProteinsPaired Box Transcription FactorsHomeodomain ProteinsInsulin Receptor Substrate ProteinsIRS1 protein, humanPaired Box Transcription FactorsPAX4 protein, human

Identifiers

PMID19956100
PMCPMC2804261

What OpenQuestion holds

Textmetadata
LicenceTDM
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.