SynthesisPloS one2012
Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus.
Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 13 of them syntheses that pooled 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.
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.
Who cites it
74 citing papers in PubMed, 13 syntheses or guidelines pooled it, 132 citations in OpenAlex.
- Association of CDKAL1 rs7754840 with gestational diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Association between pregnancy-related complications and development of type 2 diabetes and hypertension in women: an umbrella review.BMC medicine · 2024Pooled it
- Association of vitamin D receptor gene rs739837 polymorphism with type 2 diabetes and gestational diabetes mellitus susceptibility: a systematic review and meta-analysis.European journal of medical research · 2022Pooled it
- Progression to type 2 diabetes mellitus after gestational diabetes mellitus diagnosed by IADPSG criteria: Systematic review and meta-analysis.Frontiers in endocrinology · 2022Pooled it
- Risk of developing metabolic syndrome after gestational diabetes mellitus - a systematic review and meta-analysis.Journal of endocrinological investigation · 2021Pooled it
- CDK5 Regulatory Subunit-Associated Protein 1-Like 1 Gene Polymorphisms and Gestational Diabetes Mellitus Risk: A Trial Sequential Meta-Analysis of 13,306 Subjects.Frontiers in endocrinology · 2021Pooled it
- Lack of association between IGF2BP2 rs4402960 polymorphism and gestational diabetes mellitus: a case-control study, meta-analysis and trial sequential analysis.Bioscience reports · 2020Pooled it
- A functional polymorphism rs10830963 in melatonin receptor 1B associated with the risk of gestational diabetes mellitus.Bioscience reports · 2019Pooled it
- Genetic variants associated with gestational diabetes mellitus: a meta-analysis and subgroup analysis.Scientific reports · 2016Pooled it
- Transcription Factor 7-Like 2 (TCF7L2) rs7903146 Polymorphism as a Risk Factor for Gestational Diabetes Mellitus: A Meta-Analysis.PloS one · 2016Pooled it
- Pooled it
- Metabolic syndrome risk after gestational diabetes: a systematic review and meta-analysis.PloS one · 2014Pooled it
- Genetic variants and the risk of gestational diabetes mellitus: a systematic review.Human reproduction updatePooled it
- Gestational diabetes: from pathogenesis to therapeutic intervention.Diabetology & metabolic syndrome · 2026Review
- Gestational Diabetes and Genetics:Genes · 2026Review
- Article
- The Application of Omics Technologies in Type II Diabetes Mellitus Research.Current diabetes reviews · 2026Review
- Pregnancy complications and risk of cardiometabolic-renal conditions in 1.4 million women in England: longitudinal study.BMJ medicine · 2026Article
- PREGNANCY DISORDERS AND MATERNAL CONSEQUENCES: Maternal pre-pregnancy risks and postpartum consequences of gestational diabetes.Reproduction (Cambridge, England) · 2025Review
- Distinct Roles of Common Genetic Variants and Their Contributions to Diabetes: MODY and Uncontrolled T2DM.Biomolecules · 2025Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA number of case-control studies were conducted to investigate the association of common type 2 diabetes (T2D) risk gene polymorphisms with gestational diabetes mellitus (GDM). However, these studies have yielded contradictory results. We therefore performed a meta-analysis to derive a more precise estimation of the association between these polymorphisms and GDM, hence achieve a better understanding to the relationship between T2D and GDM.
methodsPubMed, EMBASE, ISI web of science and the Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. Data were abstracted independently by two reviewers. A meta-analysis was performed to examine the association between 9 polymorphisms from 8 genes and susceptibility to GDM. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Heterogeneity among articles and their publication bias were also tested.
resultsWe identified 22 eligible studies including a total of 10,336 GDM cases and 17,445 controls. We found 8 genetic polymorphisms were significantly associated with GDM in a random-effects meta-analysis. These polymorphisms were in or near the following genes: TCF7L2 (rs7903146), MTNR1B (rs10830963), IGF2BP2 (rs4402960), KCNJ11 (rs5219), CDKAL1 (rs7754840), KCNQ1 (rs2237892 and rs2237895) and GCK (rs4607517); while no association was found for PPARG with GDM risk. Similar results were also observed under dominant genetic model for these polymorphisms.
conclusionsThis meta-analysis found 8 genetic variants associated with GDM. The relative contribution and relevance of the identified genes in the pathogenesis of GDM should be the focus of future studies.
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Registered trials
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.