Lin Churong, Sun Ling, Chen Qinchang
Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, People's Republic of China.
Int J Gen Med. 2021 Dec 2;14:9273-9286. doi: 10.2147/IJGM.S344902. eCollection 2021.
In this study, we aimed to use a two sample Mendelian randomization (MR) method to identify a potentially causality between waist circumference and the risk of deep vein thrombosis (DVT).
With a two-sample MR approach, we analyzed the summary data. The main analysis was performed by using the summary genetic data from two large consortium cohorts. Three MR approaches were used to explore MR estimates of waist circumference for DVT (inverse-variance weighted [IVW] approach, weighted median method and MR-Egger method). A total of 224 single nucleotide polymorphisms (SNPs) were identified associated with the level of waist circumference at statistical significance (P < 5*10; linkage disequilibrium r < 0.1).
The result of IVW indicated the positive association between waist circumference and the risk of DVT (OR 1.012, 95% CI 1.009-1.014, P 7.627E-17). The other two methods were observed with consistent result. MR-Egger regression analysis indicated that no evidence for the presence of directional horizontal pleiotropy. Additionally, DVT was not a causal factor for waist circumference.
In summary, we used the GWAS genetic data from two large consortium cohorts and indicated the positive association between waist circumference and DVT. Further researches are needed to investigate potential mechanism and clarify the role of waist circumference on DVT.
在本研究中,我们旨在使用两样本孟德尔随机化(MR)方法来确定腰围与深静脉血栓形成(DVT)风险之间的潜在因果关系。
采用两样本MR方法,我们分析了汇总数据。主要分析使用了来自两个大型联盟队列的汇总遗传数据。采用三种MR方法来探索腰围对DVT的MR估计值(逆方差加权[IVW]方法、加权中位数方法和MR-Egger方法)。共鉴定出224个与腰围水平具有统计学显著相关性的单核苷酸多态性(SNP)(P < 5×10⁻⁸;连锁不平衡r < 0.1)。
IVW结果表明腰围与DVT风险呈正相关(OR 1.012,95%CI 1.009 - 1.014,P 7.627E⁻¹⁷)。观察到其他两种方法结果一致。MR-Egger回归分析表明没有证据表明存在定向水平多效性。此外,DVT不是腰围的因果因素。
总之,我们使用了来自两个大型联盟队列的全基因组关联研究(GWAS)遗传数据,并表明腰围与DVT之间存在正相关。需要进一步研究来探讨潜在机制并阐明腰围在DVT中的作用。