Wang Jinjin, Zhang Jianfeng, Shen Jie, Hu Dongsheng, Yan Guoli, Liu Xiaohui, Xu Xueqin, Pei Lanying, Li Yanfang, Sun Chunyang
Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
Henan Armed Police Corps Hospital, Zhengzhou 450000, People's Republic of China.
Hum Immunol. 2014 Apr;75(4):342-7. doi: 10.1016/j.humimm.2014.01.008. Epub 2014 Jan 30.
rs151290 in KCNQ1 and rs972283 in KLF14 have been evaluated in terms of risk of type 2 diabetes mellitus (T2DM), but the results are inconsistent. We performed an meta-analysis to assess the contributions of rs151290 in KCNQ1 and rs972283 in KLF14 to risk of T2DM. We searched the worldwide literature published from 2008 to 2013 in MEDLINE via PubMed, EMBASE, Cochrane CENTRAL and Chinese databases. Two reviewers extracted data independently using a standardized protocol, and any discrepancies were resolved by a third reviewer. Fixed- and random-effects meta-analyses were performed to pool the odds ratios (ORs). Publication bias and heterogeneity were examined. A total of 11 articles were included in the meta-analysis: 6 studies with 6696 cases and 7151 controls investigated rs151290 in KCNQ1, and 5 studies with 50,552 cases and 106,535 controls investigated rs972283 in KLF14. We obtained highly significant ORs for the risk allele C for rs151290 and the risk allele G for rs972283. The population attributable risk percentage for rs151290 and rs972283 was 6.83% and 4.18%, respectively. The risk allele C of rs151290 in KCNQ1 and risk allele G of rs972283 in KLF14 were both associated with increased risk of T2DM in a global population.
已对KCNQ1基因中的rs151290和KLF14基因中的rs972283与2型糖尿病（T2DM）风险的关系进行了评估，但结果并不一致。我们进行了一项荟萃分析，以评估KCNQ1基因中的rs151290和KLF14基因中的rs972283对T2DM风险的影响。我们通过PubMed、EMBASE、Cochrane CENTRAL以及中文数据库检索了2008年至2013年期间发表的全球文献。两名审阅者使用标准化方案独立提取数据，任何差异均由第三名审阅者解决。采用固定效应和随机效应荟萃分析来汇总比值比（OR）。对发表偏倚和异质性进行了检验。荟萃分析共纳入11篇文章：6项研究纳入了6696例病例和7151例对照，研究了KCNQ1基因中的rs151290；5项研究纳入了50552例病例和106535例对照，研究了KLF14基因中的rs972283。我们获得了rs151290风险等位基因C和rs972283风险等位基因G的高度显著的OR。rs151290和rs972283的人群归因风险百分比分别为6.83%和4.18%。KCNQ1基因中的rs151290风险等位基因C和KLF14基因中的rs972283风险等位基因G在全球人群中均与T2DM风险增加相关。
