Evidence map›Paper›PMID 18045485›Full record

ArticleBMC medical genetics2007

The candidate genes TAF5L, TCF7, PDCD1, IL6 and ICAM1 cannot be excluded from having effects in type 1 diabetes.

Jason D Cooper, Deborah J Smyth, Rebecca Bailey, Felicity Payne, Kate Downes, Lisa M Godfrey, Jennifer Masters, Lauren R Zeitels, Adrian Vella, Neil M Walker and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  8. Rs12976445 Polymorphism is Associated with Risk of Diabetic Nephropathy Through Modulating Expression of MicroRNA-125 and Interleukin-6R.Medical science monitor : international medical journal of experimental and clinical research · 2015
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  10. Programmed death-1 gene polymorphism (PD-1.5 C/T) is associated with gastric cancer.Gastroenterology and hepatology from bed to bench · 2013
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  12. Review
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  14. Change in blood-brain barrier permeability during pediatric diabetic ketoacidosis treatment.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2010
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  17. Overview of the Rapid Response data.Genes and immunity · 2009
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  18. Review
  19. Host genetic and epigenetic factors in toxoplasmosis.Memorias do Instituto Oswaldo Cruz · 2009
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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

11 authors at 4 institutions in 2 countries.

Jason D CooperJuvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK. jason.cooper@cimr.cam.ac.uk
Deborah J Smyth
Rebecca Bailey
Felicity Payne
Kate Downes
Lisa M Godfrey
Jennifer Masters
Lauren R Zeitels
Adrian Vella
Neil M Walker
John A Todd
Addenbrooke's Hospital · GBWellcome Trust · GBUniversity of Cambridge · GBJuvenile Diabetes Research Foundation · GB

Funding

Medical Research Council G0000934Wellcome TrustWellcome Trust 068545/Z/02Wellcome Trust 076113
6 · The paper itself

Abstract

backgroundAs genes associated with immune-mediated diseases have an increased prior probability of being associated with other immune-mediated diseases, we tested three such genes, IL23R, IRF5 and CD40, for an association with type 1 diabetes. In addition, we tested seven genes, TAF5L, PDCD1, TCF7, IL12B, IL6, ICAM1 and TBX21, with published marginal or inconsistent evidence of an association with type 1 diabetes.

methodsWe genotyped reported polymorphisms of the ten genes, nonsynonymous SNPs (nsSNPs) and, for the IL12B and IL6 regions, tag SNPs in up to 7,888 case, 8,858 control and 3,142 parent-child trio samples. In addition, we analysed data from the Wellcome Trust Case Control Consortium genome-wide association study to determine whether there was any further evidence of an association in each gene region.

resultsWe found some evidence of associations between type 1 diabetes and TAF5L, PDCD1, TCF7 and IL6 (ORs = 1.05 - 1.13; P = 0.0291 - 4.16 x 10-4). No evidence of an association was obtained for IL12B, IRF5, IL23R, ICAM1, TBX21 and CD40, although there was some evidence of an association (OR = 1.10; P = 0.0257) from the genome-wide association study for the ICAM1 region.

conclusionWe failed to exclude the possibility of some effect in type 1 diabetes for TAF5L, PDCD1, TCF7, IL6 and ICAM1. Additional studies, of these and other candidate genes, employing much larger sample sizes and analysis of additional polymorphisms in each gene and its flanking region will be required to ascertain their contributions to type 1 diabetes susceptibility.

Indexed as

Genetic Predisposition to DiseaseAntigens, CDApoptosis Regulatory ProteinsCase-Control StudiesDiabetes Mellitus, Type 1Genetic MarkersGenotypeHumansIntercellular Adhesion Molecule-1Interleukin-6Logistic ModelsPolymorphism, Single NucleotideProgrammed Cell Death 1 ReceptorTATA-Binding Protein Associated FactorsT Cell Transcription Factor 1Transcription Factor TFIIDAntigens, CDApoptosis Regulatory ProteinsGenetic MarkersIntercellular Adhesion Molecule-1Interleukin-6PDCD1 protein, humanProgrammed Cell Death 1 ReceptorTAF5 protein, humanTATA-Binding Protein Associated FactorsT Cell Transcription Factor 1TCF7 protein, humanTranscription Factor TFIID

Identifiers

PMID18045485
PMCPMC2217539
OpenAlexW1993735588

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.