Evidence map›Paper›PMID 20878384›Full record

ArticleDiabetologia2011

A role for coding functional variants in HNF4A in type 2 diabetes susceptibility.

B Jafar-Mohammadi, C J Groves, A P Gjesing, B M Herrera, W Winckler, H M Stringham, A P Morris, T Lauritzen, A S F Doney, A D Morris and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Gain of Function of Malate Dehydrogenase 2 and Familial Hyperglycemia.The Journal of clinical endocrinology and metabolism · 2022
    Observational
  4. Maturity Onset Diabetes of the Young-New Approaches for Disease Modelling.International journal of molecular sciences · 2021
    Review
  5. Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. What will diabetes genomes tell us?Current diabetes reports · 2012
    Review
  13. Article
  14. Review
  15. 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

25 authors at 15 institutions in 4 countries.

B Jafar-MohammadiOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, UK.
C J Groves
A P Gjesing
B M Herrera
W Winckler
H M Stringham
A P Morris
T Lauritzen
A S F Doney
A D Morris
M N Weedon
A J Swift
J Kuusisto
M Laakso
D Altshuler
A T Hattersley
F S Collins
M Boehnke
T Hansen
O Pedersen
C N A Palmer
T M Frayling
DIAGRAM Consortium
A L Gloyn
M I McCarthy
Ninewells Hospital · GBPeninsula College of Medicine and Dentistry · GBKuopio University Hospital · FIOxford Centre for Diabetes, Endocrinology and Metabolism · GBSteno Diabetes Center · DKUniversity of Michigan–Ann Arbor · USUniversity of Oxford · GBAarhus University · DKBroad Institute · USChurchill Hospital · GBMassachusetts Institute of Technology · USNational Human Genome Research Institute · USNational Institutes of Health · USUniversity of Copenhagen · DKUniversity of Dundee · GB

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Computational and Statistical Models for Human PedigreesR01HG002651 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2003 to 2008
$2.9M
Integrated Parametric and Non-parametric Mapping for Genome-Wife Association DataU01HL084729 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2006 to 2008
$872k
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
Intramural NIH HHS Z01 HG000024Medical Research Council G0000934Medical Research Council G0700222Medical Research Council G0700222(81696)NHGRI NIH HHS HG002651NHGRI NIH HHS R01 HG002651NHLBI NIH HHS HL084729NHLBI NIH HHS U01 HL084729NIDA NIH HHS U54 DA021519NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370Wellcome Trust 064890Wellcome Trust 068545Wellcome Trust 068545/Z/02Wellcome Trust 072960Wellcome Trust 081682
6 · The paper itself

Abstract

aims/hypothesisRare mutations in the gene HNF4A, encoding the transcription factor hepatocyte nuclear factor 4α (HNF-4A), account for ~5% of cases of MODY and more frequent variants in this gene may be involved in multifactorial forms of diabetes. Two low-frequency, non-synonymous variants in HNF4A (V255M, minor allele frequency [MAF] ~0.1%; T130I, MAF ~3.0%)-known to influence downstream HNF-4A target gene expression-are of interest, but previous type 2 diabetes association reports were inconclusive. We aimed to evaluate the contribution of these variants to type 2 diabetes susceptibility through large-scale association analysis.

methodsWe genotyped both variants in at least 5,745 cases and 14,756 population controls from the UK and Denmark. We also undertook an expanded association analysis that included previously reported and novel genotype data obtained in Danish, Finnish, Canadian and Swedish samples. A meta-analysis incorporating all published association studies of the T130I variant was subsequently carried out in a maximum sample size of 14,279 cases and 26,835 controls.

resultsWe found no association between V255M and type 2 diabetes in either the initial (p = 0.28) or the expanded analysis (p = 0.44). However, T130I demonstrated a modest association with type 2 diabetes in the UK and Danish samples (additive per allele OR 1.17 [95% CI 1.08-1.28]; p = 1.5 × 10⁻⁴), which was strengthened in the meta-analysis (OR 1.20 [95% CI 1.10-1.30]; p = 2.1 × 10⁻⁵). CONCLUSIONS/

interpretationOur data are consistent with T130I as a low-frequency variant influencing type 2 diabetes risk, but are not conclusive when judged against stringent standards for genome-wide significance. This study exemplifies the difficulties encountered in association testing of low-frequency variants.

Indexed as

AdultAgedDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenotypeHepatocyte Nuclear Factor 4HumansMaleMiddle AgedMutationHepatocyte Nuclear Factor 4HNF4A protein, human

Identifiers

PMID20878384
PMCPMC3119815
OpenAlexW1986949452

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.