中国人群LEPR基因多态性与2型糖尿病相关性的Meta分析

Correlation between leptin receptor gene polymorphism and type 2 diabetes in Chinese population: a meta-analysis

目的评价中国人群瘦素受体（L E P R）基因多态性与2型糖尿病的相关性。方法在中文数据库（中国知网、维普、万方、中国生物医学文献数据库）中以＂瘦素受体基因＂、＂2型糖尿病＂为检索词,英文数据库（Pub Med、Web of Know ledge、EBSCO）中以＂leptin receptor gene＂、＂LEPR＂、＂OBR＂、＂OB-R＂、＂ty pe 2diabetes＂和＂T2DM＂为检索词,检索研究中国人群LEPR基因多态性与2型糖尿病相关性的文献,日期截至2014年9月20日。采用Rev Man 5.0和Stata 11.0软件进行Meta分析,并采用纽卡斯尔-渥太华量表从研究对象选择、可比性和结果评价三方面进行文献质量评价。结果共纳入17篇病例对照研究,包含病例12 533例,对照3348例。Meta分析显示,LEPR基因rs1137100位点多态性与2型糖尿病相关（隐性遗传模型：OR=0.67,95%CI 0.52~0.88,P=0.00;等位基因遗传模型：OR=1.46,95%CI 1.15~1.85,P=0.00）。LEPR基因rs1137101位点多态性与2型糖尿病相关（加性遗传模型：OR=1.54,95%CI 1.20~1.98,P=0.00;等位基因遗传模型：OR=1.15,95%CI 1.01~1.30,P=0.00）。LEPR基因rs1805096位点多态性与2型糖尿病相关（显性遗传模型：OR=1.32,95%CI 1.07~1.62,P=0.00;隐性遗传模型：OR=1.30,95%CI1.09~1.54,P=0.00;等位基因遗传模型：OR=0.67,95%CI 0.59~0.75,P=0.00）。结论在中国人群中,LEPR基因的rs1137100和rs1805096位点在等位基因遗传模型与隐性遗传模型下与2型糖尿病均相关;在加性遗传模型下,rs1137101位点与2型糖尿病相关,在显性遗传模型下,rs1805096位点多态性与2型糖尿病相关。等位基因A携带者为2型糖尿病的高危人群。

Objective To evaluate the correlation between leptin receptor gene （LEPR） polymorphism and type 2 diabetes （T2DM） in Chinese population. Methods The literature concerning the correlation between LEPR polymorphism and T2DM in Chinese population were searched from Chinese databases （CNKI, VIP, WanFang, CBM） with ＂leptin receptor gene＂ and ＂type 2 diabetes＂ as keywords, and from English databases （PubMed, Web of Knowledge, EBSCO） with ＂leptin receptor gene＂, ＂LEPR＂, ＂OBR＂, ＂OB-R＂, ＂type 2 diabetes＂ and ＂T2DM＂ as key-words. The relevant articles were searched up to September 20, 2014. Then, meta-analysis was performed using RevMan 5.1 and Stata 11.0 software. The Newcastle-Ottawa Scale was applied to assess methodological quality of included articles from 3 aspects, namely, selection of participants, comparability and outcome assessment. Results Seventeen case-control studies involving 12 533 cases of T2DM and 3348 controls were included in Meta-analysis. A significant correlation was found between rs1137100 polymorphism in LEPR gene and T2DM （for recessive genetic model： OR=0,67, 95%CI 0.52-0.88, P=0.00; for allele contrast genetic model： OR=1.46, 95%CI 1.15-1.85, P=0.00）. A strong correlation was also found between rs1137101 polymorphism and T2DM （for additive genetic model： 0R=I.54~ 95%CI 1.20-1.98j P=0.00i for allele contrast genetic model： OR=I.15, 95%CI 1.01-1.30, P=0.00）. In addition, rs1805096 polymorphism was closely correlated with T2DM （for dominant genetic model： OR=1.32, 9S%CI 1.07-1.62, P=0.00; for recessive genetic model： 0R=1.30, 95%CI 1.09-1.54, P=0.00; for allele contrast genetic model： 0R=0.67, 95%CI 0.59-0.75, P=0.00）. Conclusions There is a significant correlation between rs1137100, rs1805096 of LEPR gene and T2DM in Chinese population under allele contrast genetic model as well as in recessive genetic model. Rs1137101 of LEPR gene is closely correlated with T2DM in Chinese population under additive genetic model. For dominant genetic model, rs1805096 of LEPR gene is correlated significantly with T2DM in Chinese population. The allele A carriers in Chinese population are at a high risk of type 2 diabetes.