Junhao Cui1, Xin Xu2, Shuqing Yin3, Fang Chen1, Peng Li1, Chunlan Song4. 1. Department of Intensive Care Unit, Zhengzhou Children's Hospital, Zhengzhou, 450003, Henan, China. 2. Shaanxi Maternity and Child Health Care Hospital, Xi'an, 710003, Shaanxi, China. 3. Ji'an Maternity and Child Health Care Hospital, Ji'an, 343000, Jiangxi, China. 4. Department of Intensive Care Unit, Zhengzhou Children's Hospital, Zhengzhou, 450003, Henan, China. songchunlan002@126.com.
Abstract
PURPOSE: The purpose of the meta-analysis is to evaluate the association between calpain-10 (CANP10) gene polymorphisms and gestational diabetes mellitus (GDM). METHODS: A computer-based retrieval was performed in Web of Science, Embase and PubMed databases for eligible studies. The genotype data from four variants in CANP10 [single-nucleotide polymorphisms (SNP) 19, 43, 44, and 63] were collected. The pooled Odds ratios (ORs) with 95 % confidence intervals (CI) were conducted for five genetic models. RESULTS: Five studies containing 1003 GDMs and 1788 controls are included in this meta-analysis. The overall combined odds ratios show that SNP 19 and SNP 43 are not associated with increased risk of GDM in all genetic models. The association between SNP 63 and GDM is only significant in the heterozygous model (OR 2.79, 95 % CI 1.15-6.74). The SNP 44 is associated with increased risk of GDM in the recessive model (OR 1.75, 95 % CI 1.07-2.85), but only two studies are included. CONCLUSIONS: This meta-analysis indicates that women carriage of TT genotype in SNP 63 (rs5030952) is associated with increased risk in GDM.
PURPOSE: The purpose of the meta-analysis is to evaluate the association between calpain-10 (CANP10) gene polymorphisms and gestational diabetes mellitus (GDM). METHODS: A computer-based retrieval was performed in Web of Science, Embase and PubMed databases for eligible studies. The genotype data from four variants in CANP10 [single-nucleotide polymorphisms (SNP) 19, 43, 44, and 63] were collected. The pooled Odds ratios (ORs) with 95 % confidence intervals (CI) were conducted for five genetic models. RESULTS: Five studies containing 1003 GDMs and 1788 controls are included in this meta-analysis. The overall combined odds ratios show that SNP 19 and SNP 43 are not associated with increased risk of GDM in all genetic models. The association between SNP 63 and GDM is only significant in the heterozygous model (OR 2.79, 95 % CI 1.15-6.74). The SNP 44 is associated with increased risk of GDM in the recessive model (OR 1.75, 95 % CI 1.07-2.85), but only two studies are included. CONCLUSIONS: This meta-analysis indicates that women carriage of TT genotype in SNP 63 (rs5030952) is associated with increased risk in GDM.
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