Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis

被引:3
|
作者
He, Jingjing [1 ,2 ,3 ]
Zhang, Meng [1 ,2 ,3 ]
Ren, Jianhua [1 ,2 ,3 ]
Jiang, Xiaolian [1 ,2 ]
机构
[1] Sichuan Univ, West China Univ Hosp 2, Dept Obstet Nursing, Chengdu, Peoples R China
[2] Sichuan Univ, West China Sch Nursing, Chengdu, Peoples R China
[3] Sichuan Univ, Key Lab Birth Defects & Related Dis Women & Childr, Minist Educ, Chengdu, Sichuan, Peoples R China
关键词
CAPN10; Gestational diabetes mellitus; Single nucleotide polymorphism; Meta-analysis; TCF7L2; TRANSCRIPTION-FACTOR-7-LIKE-2; TCF7L2; INCREASED RISK; ASSOCIATION; VARIANTS; POPULATION; WOMEN; HYPERGLYCEMIA; PREGNANCY; FTO; GDM;
D O I
10.1186/s12884-023-06177-1
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Background The association between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus (GDM) has been explored in diverse populations across different geographical regions. Yet, most of these studies have been confined to a limited number of loci, resulting in inconsistent findings. In this study, we conducted a comprehensive review of published literature to identify studies examining the relationship between TCF7L2 and CAPN10 gene polymorphisms and the incidence of GDM in various populations. We specifically focused on five loci that were extensively reported in a large number of publications and performed a meta-analysis.Methods We prioritized the selection of SNPs with well-documented correlations established in existing literature on GDM. We searched eight Chinese and English databases: Cochrane, Elton B. Stephens. Company (EBSCO), Embase, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and China Science and Technology Journal Database and retrieved all relevant articles published between the inception of the database and July 2022. The Newcastle Ottawa Scale (NOS) was used to evaluate the selected articles, and the odds ratio (OR) was used as the combined effect size index to determine the association between genotypes, alleles, and GDM using different genetic models. Heterogeneity between the studies was quantified and the I-2 value calculated. Due to large heterogeneities between different ethnic groups, subgroup analysis was used to explore the correlation between genetic polymorphisms and the incidence of GDM in the different populations. The stability of the results was assessed using sensitivity analysis. Begg's and Egger's tests were used to assess publication bias.Results A total of 39 articles reporting data on 8,795 cases and 16,290 controls were included in the analysis. The frequency of the rs7901695 genotype was statistically significant between cases and controls in the European population (OR = 0.72, 95% CI: 0.65-0.86) and the American population (OR = 0.61, 95% CI: 0.48-0.77). The frequencies of rs12255372, rs7901695, rs290487, and rs2975760 alleles were also considerably different between the cases and controls in the populations analyzed.Conclusion srs7903146, rs12255372, rs7901695, rs290487, and rs2975760 were associated with the incidence of GDM in different populations.
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页数:23
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