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Meta-analyses between 18 candidate genetic markers and overweight/obesity

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单位: [1]Ningbo Univ, Sch Med, Zhejiang Prov Key Lab Pathophysiol, Ningbo 315211, Zhejiang, Peoples R China [2]Ningbo Univ, Affiliated Hosp, Ningbo 315000, Zhejiang, Peoples R China [3]Ningbo Univ, Sch Med, Ctr Diabet, Ningbo 315211, Zhejiang, Peoples R China [4]Huazhong Univ Sci & Technol,Inst Hypertens,Tongji Hosp,Tongji Med Coll,Wuhan,Peoples R China [5]Huazhong Univ Sci & Technol,Dept Internal Med,Tongji Hosp,Tongji Med Coll,Wuhan,Peoples R China
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关键词: SH2B1 FAIM2 Polymorphism Overweight Obesity Meta-analysis

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Aims: The goal of our study is to investigate the associations between 18 candidate genetic markers and overweight/obesity. Methods: A total of 72 eligible articles were retrieved from literature databases including PubMed, Embase, SpingerLink, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang. Meta-analyses of 18 genetic markers among 56,738 controls and 48,148 overweight/obese persons were done by Review Manager 5.0. Results: Our results showed that SH2B1 rs7498665 polymorphism was significantly associated with the risk of overweight/obesity (overall odds ratio (OR) = 1.21, 95% confidence interval (CI) = 1.09-1.34, P = 0.0004). Increased risk of overweight/obesity was also observed in FAIM2 rs7138803 polymorphism (overall OR = 1.11, 95% CI = 1.01-1.22, P = 0.04). Conclusion: Our meta-analyses have shown the important role of 2 polymorphisms (SH2B1 rs7498665 and FAIM2 rs7138803) in the development of overweight/obesity. This study highlighted the importance of above two candidate genes (SH2B1 and FAIM2) in the risk of overweight/obesity.

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出版当年[2013]版:
大类 | 4 区 医学
小类 | 4 区 病理学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 病理学
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出版当年[2012]版:
Q3 PATHOLOGY
最新[2023]版:
Q2 PATHOLOGY

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第一作者单位: [1]Ningbo Univ, Sch Med, Zhejiang Prov Key Lab Pathophysiol, Ningbo 315211, Zhejiang, Peoples R China
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