孟德尔随机化
医学
心脏病学
内科学
冲程(发动机)
动脉硬化
病因学
血压
基因型
遗传学
遗传变异
基因
机械工程
生物
工程类
作者
Weishi Liu,Luyang Zhang,Yuan Gao,Kai Li,Yanan Li,Chen Liu,Yingxue Yan,Hongbing Liu,Li Shen,Hui Fang,Bo Song,Zongping Xia,Yuming Xu
标识
DOI:10.1177/17474930211066432
摘要
Background: Arterial stiffness index (ASI) is a potential risk factor for cerebrovascular and cardiometabolic diseases, but the causal links between them are inconclusive. The aim is to evaluate the causal effects of ASI on cerebrovascular and cardiometabolic diseases by Mendelian randomization (MR). Methods: Two-sample MR analysis was performed to infer causal links. Genetic variants significantly associated with ASI were extracted. The inverse variance weighted method was used for estimating the effects. Sensitivity analysis was performed to test heterogeneity or pleiotropy. Results: MR analysis indicated an effect of genetically predicted ASI on the risk of ischemic stroke (IS) of all causes (OR = 1.894, 95% CI 1.210–2.965, p = 0.005). No links were identified between genetically predicted ASI and other cerebrovascular or cardiometabolic diseases (all p > 0.05). Subgroup analysis of IS etiologies found a suggestive association between genetically predicted ASI and large artery atherosclerosis stroke (LAS) (OR = 3.726, 95% CI 1.230–11.286, p = 0.020). There were no effects of ASI on IS due to cardioembolism or small vessel occlusion. Conclusion: The current MR analysis suggested that genetically predicted ASI was associated with higher risk of IS of all causes. The results and the underlying pathways or mechanisms between ASI and IS needs further investigation.
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