Evidence map›Paper›PMID 14551916›Full record

ArticlePLoS biology2003

Candidate gene association study in type 2 diabetes indicates a role for genes involved in beta-cell function as well as insulin action.

Inês Barroso, Jian'an Luan, Rita P S Middelberg, Anne-Helen Harding, Paul W Franks, Rupert W Jakes, D Clayton, Alan J Schafer, Stephen O'Rahilly, Nicholas J Wareham

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 113 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 10 pooled it
22.3field-weighted citation impact, top 1% 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

113 citing papers in PubMed, 10 syntheses or guidelines pooled it, 326 citations in OpenAlex.

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  16. Review
  17. Genetics of diabetes.World journal of diabetes · 2023
    Review
  18. From Metabolic Syndrome to Type 2 Diabetes in Youth.Children (Basel, Switzerland) · 2023
    Review
  19. Review
  20. Review

53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Inês BarrosoIncyte, Palo Alto, California, USA. ib1@sanger.ac.uk
Jian'an Luan
Rita P S Middelberg
Anne-Helen Harding
Paul W Franks
Rupert W Jakes
D Clayton
Alan J Schafer
Stephen O'Rahilly
Nicholas J Wareham
University of Cambridge · GBIncyte (United States) · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

Type 2 diabetes is an increasingly common, serious metabolic disorder with a substantial inherited component. It is characterised by defects in both insulin secretion and action. Progress in identification of specific genetic variants predisposing to the disease has been limited. To complement ongoing positional cloning efforts, we have undertaken a large-scale candidate gene association study. We examined 152 SNPs in 71 candidate genes for association with diabetes status and related phenotypes in 2,134 Caucasians in a case-control study and an independent quantitative trait (QT) cohort in the United Kingdom. Polymorphisms in five of 15 genes (33%) encoding molecules known to primarily influence pancreatic beta-cell function-ABCC8 (sulphonylurea receptor), KCNJ11 (KIR6.2), SLC2A2 (GLUT2), HNF4A (HNF4alpha), and INS (insulin)-significantly altered disease risk, and in three genes, the risk allele, haplotype, or both had a biologically consistent effect on a relevant physiological trait in the QT study. We examined 35 genes predicted to have their major influence on insulin action, and three (9%)-INSR, PIK3R1, and SOS1-showed significant associations with diabetes. These results confirm the genetic complexity of Type 2 diabetes and provide evidence that common variants in genes influencing pancreatic beta-cell function may make a significant contribution to the inherited component of this disease. This study additionally demonstrates that the systematic examination of panels of biological candidate genes in large, well-characterised populations can be an effective complement to positional cloning approaches. The absence of large single-gene effects and the detection of multiple small effects accentuate the need for the study of larger populations in order to reliably identify the size of effect we now expect for complex diseases.

Indexed as

Polymorphism, Single NucleotideAgedATP-Binding Cassette TransportersCase-Control StudiesCloning, MolecularDiabetes Mellitus, Type 2GenotypeGlucose Transporter Type 2HaplotypesHepatocyte Nuclear Factor 4HumansInsulinInsulin-Secreting CellsKcnj11 ChannelMiddle AgedModels, GeneticATP-Binding Cassette TransportersGlucose Transporter Type 2Hepatocyte Nuclear Factor 4HNF4A protein, humanInsulinKcnj11 ChannelPhosphatidylinositol 3-KinasesPotassium ChannelsPotassium Channels, Inwardly RectifyingReceptor, InsulinReceptors, DrugSLC2A2 protein, humanSOS1 ProteinSulfonylurea Receptors

Identifiers

PMID14551916
PMCPMC212698
OpenAlexW2019604587

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.