Evidence map›Paper›PMID 17503332›Full record

ArticleAmerican journal of human genetics2007

Type 2 diabetes TCF7L2 risk genotypes alter birth weight: a study of 24,053 individuals.

Rachel M Freathy, Michael N Weedon, Amanda Bennett, Elina Hypponen, Caroline L Relton, Beatrice Knight, Beverley Shields, Kirstie S Parnell, Christopher J Groves, Susan M Ring and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
26.9field-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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. International journal of molecular sciences · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Epigenetics andFrontiers in genetics · 2019
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Genetics, genomics and metabolomics: new insights into maternal metabolism during pregnancy.Diabetic medicine : a journal of the British Diabetic Association · 2014
    Review
  18. Review
  19. Review
  20. Review
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

19 authors at 8 institutions in 3 countries.

Rachel M FreathyInstitute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK.
Michael N Weedon
Amanda Bennett
Elina Hypponen
Caroline L Relton
Beatrice Knight
Beverley Shields
Kirstie S Parnell
Christopher J Groves
Susan M Ring
Marcus E Pembrey
Yoav Ben-Shlomo
David P Strachan
Chris Power
Marjo-Riitta Jarvelin
Mark I McCarthy
George Davey Smith
Andrew T Hattersley
Timothy M Frayling
Peninsula College of Medicine and Dentistry · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GBImperial College London · GBInstitute of Child Health · INUniversity of Bristol · GBNewcastle University · GBSt George's, University of London · GBUniversity of Oulu · FI

Funding

Department of Health PHCS/C4/4/016Medical Research Council G0000934Medical Research Council G0400546Medical Research Council G0500070Medical Research Council G9815508Wellcome TrustWellcome Trust 068545/z/02Wellcome Trust gr069224ma
6 · The paper itself

Abstract

The role of genes in normal birth-weight variation is poorly understood, and it has been suggested that the genetic component of fetal growth is small. Type 2 diabetes genes may influence birth weight through maternal genotype, by increasing maternal glycemia in pregnancy, or through fetal genotype, by altering fetal insulin secretion. We aimed to assess the role of the recently described type 2 diabetes gene TCF7L2 in birth weight. We genotyped the polymorphism rs7903146 in 15,709 individuals whose birth weight was available from six studies and in 8,344 mothers from three studies. Each fetal copy of the predisposing allele was associated with an 18-g (95% confidence interval [CI] 7-29 g) increase in birth weight (P=.001) and each maternal copy with a 30-g (95% CI 15-45 g) increase in offspring birth weight (P=2.8x10-5). Stratification by fetal genotype suggested that the association was driven by maternal genotype (31-g [95% CI 9-48 g] increase per allele; corrected P=.003). Analysis of diabetes-related traits in 10,314 nondiabetic individuals suggested the most likely mechanism is that the risk allele reduces maternal insulin secretion (disposition index reduced by ~0.15 standard deviation; P=1x10-4), which results in increased maternal glycemia in pregnancy and hence increased offspring birth weight. We combined information with the other common variant known to alter fetal growth, the -30G-->A polymorphism of glucokinase (rs1799884). The 4% of offspring born to mothers carrying three or four risk alleles were 119 g (95% CI 62-172 g) heavier than were the 32% born to mothers with none (for overall trend, P=2x10-7), comparable to the impact of maternal smoking during pregnancy. In conclusion, we have identified the first type 2 diabetes-susceptibility allele to be reproducibly associated with birth weight. Common gene variants can substantially influence normal birth-weight variation.

Indexed as

Birth WeightGenotypeAllelesDiabetes Mellitus, Type 2FemaleGenetic VariationGestational AgeGlucokinaseHumansMalePolymorphism, GeneticPregnancyRisk FactorsTCF Transcription FactorsTranscription Factor 7-Like 2 ProteinGlucokinaseTCF7L2 protein, humanTCF Transcription FactorsTranscription Factor 7-Like 2 Protein

Identifiers

PMID17503332
PMCPMC1867102
OpenAlexW2006762991

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.