Genetic variants in FTO associated with metabolic syndrome: a meta- and gene-based analysis

被引:0
作者
Haina Wang
Shuqian Dong
Hui Xu
Jun Qian
Jingyun Yang
机构
[1] Shandong University,College of Pharmaceutical Sciences
[2] Central South University,Department of Ophthalmology, Xiangya Hospital
[3] The Second Hospital of Shandong University,Department of Obstetrics and Gynecology
[4] Peking Union Medical College Hospital,Department of Orthopedics
[5] CAMS & PUMC,Methodology Center
[6] Pennsylvania State University,undefined
来源
Molecular Biology Reports | 2012年 / 39卷
关键词
Metabolic syndrome; Polymorphism; Meta-analysis; Gene-based analysis;
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摘要
The objective of this study was to examine the effect of genetic variants in fat mass and obesity associated (FTO) gene on metabolic syndrome (MetS). A systematic literature search was performed and random-effects meta-analysis was used to evaluate genetic variants in FTO with MetS. A gene-based analysis was conducted to investigate the cumulative effects of genetic polymorphisms in FTO. A total of 18 studies from 13 published papers were included in our analysis. Random-effects meta-analysis yielded an estimated odds ratio of 1.19 (95% CI 1.12–1.27; P = 1.38 × 10−7) for rs9939609, 1.19 (95% CI 1.05–1.35; P = 0.008) for rs8050136, and 1.89 (95% CI 1.20–2.96; P = 0.006) for rs1421085. The gene-based analysis indicated that FTO is strongly associated with MetS (P < 10−5). This association remains after excluding rs9939609, a SNP that was frequently reported to have strong association with obesity and MetS. In this study, we concluded that the FTO gene may play a critical role in leading to MetS. Targeting this gene may provide novel therapeutic strategies for the prevention and treatment of metabolic syndrome.
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页码:5691 / 5698
页数:7
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