Polymorphisms in TCF7L2 gene are associated with gestational diabetes mellitus in Chinese Han population.
Polymorphisms in TCF7L2 gene are associated with gestational diabetes mellitus in Chinese Han population.
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TCF7L2基因多态性与中国汉族人群妊娠期糖尿病的相关性
DOI：
10.1038/srep30686
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发表时间：
2016-07-28
影响因子：
4.6
通讯作者：
Dong F
中科院分区：
文献类型：
--
作者：
Ye D;Fei Y;Ling Q;Xu W;Zhang Z;Shu J;Li C;Dong F
本研究旨在探讨中国汉族人群中糖尿病易感基因转录因子7样2（TCF7L2）与妊娠期糖尿病（GDM）之间可能存在的关联。研究共纳入556例GDM患者和500例非GDM者。对18个单核苷酸多态性（SNP）进行了评估。从国际人类基因组单体型图计划（HapMap）的中国汉族（CHB）数据库中选取了15个标签SNP，其最小等位基因频率＞0.2且连锁不平衡系数r2＞0.8。另外还选取了3个SNP，因为这些SNP与东亚人群的2型糖尿病相关。研究发现，TCF7L2的rs290487、rs6585194和rs7094463多态性与GDM显著相关。多因素分析显示，rs290487基因变异（每个C等位基因的优势比（OR）=2.686，P=0.002）、孕前体重指数（BMI）＞24 kg/m²（OR=1.592，P=0.018）、年龄＞25岁（OR=1.780，P=0.012）以及低密度脂蛋白胆固醇（LDL-C）＞3.6 mmol/L（OR=2.034，P=0.009）被确定为GDM的独立危险因素，rs7094463基因变异（每个G等位基因的OR=0.429，P=0.005）被确定为GDM的独立保护因素。这一研究结果表明，TCF7L2的rs290487和rs7094463对GDM的预测具有潜在的临床价值。
This study aimed to investigate the possible association between diabetes susceptibility gene transcription factor 7-like 2 (TCF7L2) and gestational diabetes mellitus (GDM) in a Chinese Han population. A total of 556 GDM patients and 500 Non-GDM were included. Eighteen single nucleotide polymorphisms (SNPs) were evaluated. Fifteen tag SNPs were selected from HapMap CHB database with a minor allele frequency of 0.2 and r2of 0.8. Three additional SNPs were also chosen because these SNPs are associated with type 2 diabetes in East Asians.TCF7L2rs290487, rs6585194, and rs7094463 polymorphisms were found to be significantly associated with GDM. In multivariate analysis, rs290487 genetic variation (OR = 2.686 per each C allele,P = 0.002), pre-BMI 24 kg/m2(OR = 1.592,P = 0.018), age 25 years (OR = 1.780,P = 0.012) and LDL-C 3.6 mmol/L (OR = 2.034, P = 0.009) were identified as independent risk factors of GDM, rs7094463 genetic variation (OR = 0.429 per each G allele,P = 0.005) was identified as independent protect factor of GDM. This finding suggests thatTCF7L2rs290487, and rs7094463 were a potential clinical value for the prediction of GDM.