Department of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Department of Vascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Mol Genet Genomic Med. 2020 Apr;8(4):e1186. doi: 10.1002/mgg3.1186. Epub 2020 Feb 24.
This study investigated whether expanding waist circumference (WC) is causally associated with an elevated risk of coronary heart disease (CHD), using a two-sample Mendelian randomization (MR) study through integrating summarized data from genome-wide association study.
The data included in this analysis were mainly from the Genetic Investigation of ANthropometric Traits (GIANT), Consortium and Coronary Artery Disease Genome wide Replication, and Meta-analysis plus the Coronary Artery Disease (C4D) Genetics (CARDIoGRAMplusC4D) Consortium. Three statistical approaches, inverse-variance weighted (IVW), weighted median, and MR-Egger regression method were conducted to assess the casual relationship. The exposure was WC, measured by 46 single-nucleotide polymorphisms from GIANT and the outcome was the risk of CHD. Then, we used the genetic data from Neale Lab and TAG to infer whether WC causally affected the established risk factors of CHD.
The IVW method presented that genetically predicted WC was positively casually associated with CHD (odds ratio [OR]: 1.57, 95% CI = 1.33-1.84; p = 4.81e-08), which was consistent with the result of weighted median and MR-Egger regression. MR-Egger regression indicated that there was no directional horizontal pleiotropy to violate the MR assumption. Additionally, expanded WC was also associated with higher risk of hypertension and diabetes, higher cholesterol, more smoking intensity, and decreased frequency of physical activity.
Our analysis provided strong evidence to indicate a causal relationship between WC and increased risk of CHD.
本研究通过整合全基因组关联研究的汇总数据,采用两样本 Mendelian 随机化(MR)研究,探讨腰围(WC)扩大是否与冠心病(CHD)风险升高有关。
本分析中包含的数据主要来自遗传与人体测量特征研究(GIANT)联盟、冠状动脉疾病全基因组复制与荟萃分析以及冠状动脉疾病(C4D)遗传学(CARDIoGRAMplusC4D)联盟。采用逆方差加权(IVW)、加权中位数和 MR-Egger 回归方法三种统计方法来评估因果关系。暴露因素为 WC,通过 GIANT 中的 46 个单核苷酸多态性测量,结局为 CHD 风险。然后,我们使用 Neale 实验室和 TAG 的遗传数据来推断 WC 是否可以因果性地影响 CHD 的既定风险因素。
IVW 方法表明,遗传预测的 WC 与 CHD 呈正相关(比值比 [OR]:1.57,95%置信区间 [CI]:1.33-1.84;p=4.81e-08),这与加权中位数和 MR-Egger 回归的结果一致。MR-Egger 回归表明不存在违反 MR 假设的定向水平异质性。此外,扩大的 WC 还与高血压和糖尿病风险增加、胆固醇水平升高、吸烟强度增加以及体育活动频率降低相关。
本分析提供了强有力的证据表明 WC 与 CHD 风险增加之间存在因果关系。