ADIPOQ 基因上三个常见的单核苷酸多态性(rs266729、rs2241766 和 rs1501299)与心血管疾病的关联：一项荟萃分析。

Associations between three common single nucleotide polymorphisms (rs266729, rs2241766, and rs1501299) of ADIPOQ and cardiovascular disease: a meta-analysis.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.

The Cardiovascular Center, the First Hospital of Jilin University, Changchun, 130021, China.

出版信息

Lipids Health Dis. 2018 May 28;17(1):126. doi: 10.1186/s12944-018-0767-8.

BACKGROUND

Inconsistencies have existed in research findings on the association between cardiovascular disease (CVD) and single nucleotide polymorphisms (SNPs) of ADIPOQ, triggering this up-to-date meta-analysis.

METHODS

We searched for relevant studies in PubMed, EMBASE, Cochrane Library, CNKI, CBM, VIP, and WanFang databases up to 1st July 2017. We included 19,106 cases and 31,629 controls from 65 published articles in this meta-analysis. STATA 12.0 software was used for all statistical analyses.

RESULTS

Our results showed that rs266729 polymorphism was associated with the increased risk of CVD in dominant model or in heterozygote model; rs2241766 polymorphism was associated with the increased risk of CVD in the genetic models (allelic, dominant, recessive, heterozygote, and homozygote). In subgroup analysis, significant associations were found in different subgroups with the three SNPs. Meta-regression and subgroup analysis showed that heterogeneity might be explained by other confounding factors. Sensitivity analysis revealed that the results of our meta-analysis were stable and robust. In addition, the results of trial sequential analysis showed that evidences of our results are sufficient to reach concrete conclusions.

CONCLUSIONS

In conclusion, our meta-analysis found significant increased CVD risk is associated with rs266729 and rs2241766, but not associated with rs1501299.

背景

心血管疾病（CVD）与 ADIPOQ 单核苷酸多态性（SNPs）之间的关联存在研究结果不一致，引发了本次最新的荟萃分析。

方法

我们在 PubMed、EMBASE、Cochrane 图书馆、CNKI、CBM、VIP 和万方数据库中搜索了截至 2017 年 7 月 1 日的相关研究。我们将 65 篇已发表文章中的 19106 例病例和 31629 例对照纳入本次荟萃分析。所有统计分析均使用 STATA 12.0 软件。

结果

我们的结果表明，rs266729 多态性与显性模型或杂合模型中的 CVD 风险增加相关；rs2241766 多态性与遗传模型（等位基因、显性、隐性、杂合子和纯合子）中的 CVD 风险增加相关。在亚组分析中，三个 SNP 在不同亚组中均存在显著关联。Meta 回归和亚组分析表明，异质性可能由其他混杂因素解释。敏感性分析表明，我们荟萃分析的结果是稳定和可靠的。此外，试验序贯分析的结果表明，我们研究结果的证据足以得出具体结论。