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转录因子7样蛋白2 rs7903146多态性与2型糖尿病之间的遗传关联:对115809名受试者的荟萃分析

Genetic associations between Transcription Factor 7 Like 2 rs7903146 polymorphism and type 2 diabetes mellitus: a meta-analysis of 115,809 subjects.

作者信息

Lou Liying, Wang Jingjing, Wang Jing

机构信息

Department of Endocrinology, Shengzhou People's Hospital, No. 666 Dangui Road of Sanjiang Street, Shaoxing, 312400 Zhejiang China.

出版信息

Diabetol Metab Syndr. 2019 Jul 5;11:56. doi: 10.1186/s13098-019-0451-9. eCollection 2019.

Abstract

BACKGROUND

Some genetic association studies tried to investigate potential associations of Transcription Factor 7 Like 2 () rs7903146 polymorphism with type 2 diabetes mellitus (T2DM). However, the results of these studies were not consistent. Thus, we performed the present meta-analysis to explore associations between rs7903146 polymorphism and T2DM in a larger pooled population.

METHODS

Systematic literature research of PubMed, Web of Science and Embase was performed to identify eligible studies for pooled analyses. I statistics were employed to assess between-study heterogeneities. If I was greater than 50%, random-effect models (REMs) would be used to pool the data. Otherwise, fixed-effect models (FEMs) would be applied for synthetic analyses.

RESULTS

Totally 68 studies with 115,809 subjects were included for analyses. The pooled analyses showed that rs7903146 (dominant model:  < 0.0001; recessive model:  < 0.0001; over-dominant model:  < 0.0001; allele model:  < 0.0001) polymorphism was significantly associated with susceptibility to T2DM in overall population. Further subgroup analyses revealed similar significant findings in both Asians and Caucasians.

CONCLUSIONS

In conclusion, our findings supported that rs7903146 polymorphism could be used to identify individuals at high risk of developing T2DM in Asians and Caucasians.

摘要

背景

一些基因关联研究试图探究转录因子7样蛋白2()rs7903146多态性与2型糖尿病(T2DM)之间的潜在关联。然而,这些研究结果并不一致。因此,我们进行了本次荟萃分析,以在更大的汇总人群中探索rs7903146多态性与T2DM之间的关联。

方法

对PubMed、Web of Science和Embase进行系统文献检索,以确定适合进行汇总分析的研究。采用I统计量评估研究间的异质性。如果I大于50%,则使用随机效应模型(REM)汇总数据。否则,应用固定效应模型(FEM)进行综合分析。

结果

共纳入68项研究,涉及115,809名受试者进行分析。汇总分析表明,rs7903146(显性模型:<0.0001;隐性模型:<0.0001;共显性模型:<0.0001;等位基因模型:<0.0001)多态性与总体人群中T2DM的易感性显著相关。进一步的亚组分析在亚洲人和高加索人中均发现了类似的显著结果。

结论

总之,我们的研究结果支持rs7903146多态性可用于识别亚洲人和高加索人中患T2DM风险较高的个体。

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