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Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus.
PLoS One 2012; 7(9):e45882Plos

Abstract

BACKGROUND

A 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.

METHODS

PubMed, 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.

RESULTS

We 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.

CONCLUSIONS

This 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.

Authors+Show Affiliations

Department of Gynecology and Obstetrics, Qidong People's Hospital, Jiangsu, People's Republic of China.No affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Meta-Analysis

Language

eng

PubMed ID

23029294

Citation

Mao, Hongyan, et al. "Meta-analysis of the Relationship Between Common Type 2 Diabetes Risk Gene Variants With Gestational Diabetes Mellitus." PloS One, vol. 7, no. 9, 2012, pp. e45882.
Mao H, Li Q, Gao S. Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus. PLoS ONE. 2012;7(9):e45882.
Mao, H., Li, Q., & Gao, S. (2012). Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus. PloS One, 7(9), pp. e45882. doi:10.1371/journal.pone.0045882.
Mao H, Li Q, Gao S. Meta-analysis of the Relationship Between Common Type 2 Diabetes Risk Gene Variants With Gestational Diabetes Mellitus. PLoS ONE. 2012;7(9):e45882. PubMed PMID: 23029294.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus. AU - Mao,Hongyan, AU - Li,Qin, AU - Gao,Shujun, Y1 - 2012/09/24/ PY - 2012/07/03/received PY - 2012/08/22/accepted PY - 2012/10/3/entrez PY - 2012/10/3/pubmed PY - 2013/3/1/medline SP - e45882 EP - e45882 JF - PloS one JO - PLoS ONE VL - 7 IS - 9 N2 - BACKGROUND: A 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. METHODS: PubMed, 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. RESULTS: We 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. CONCLUSIONS: This 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. SN - 1932-6203 UR - https://www.unboundmedicine.com/medline/citation/23029294/Meta_analysis_of_the_relationship_between_common_type_2_diabetes_risk_gene_variants_with_gestational_diabetes_mellitus_ L2 - http://dx.plos.org/10.1371/journal.pone.0045882 DB - PRIME DP - Unbound Medicine ER -