青光眼与中风之间的关系:双向孟德尔随机研究

Kai Wang , Xueqi Lin , Siting Sheng , Dan Chen , Xin Liu , Ke Yao
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引用次数: 0

摘要

目的观察性研究报告了青光眼与中风之间的正相关关系,但结果存在争议。重要的是,由于以前的研究并不是为了检验因果关系而设计的,因此这种关系的性质仍然未知。因此,我们旨在研究青光眼与中风之间可能存在的因果关系。方法我们的双样本孟德尔随机化(MR)研究涵盖了多种族的大规模全基因组关联研究,其中青光眼有超过 20000 个病例和 260000 个对照,中风有超过 80000 个病例和 630000 个对照。采用逆方差加权法(IVW)合并了每个 SNP 的单个效应估计值。为避免潜在的多向效应,我们排除了与代谢因素相关的遗传变异,对主要结果进行了调整。结果我们的 MR 分析显示,在所有 MR 分析中,青光眼及其亚型(包括原发性开角型青光眼和原发性闭角型青光眼)与任何中风(AS)、任何缺血性中风(AIS)、大动脉粥样硬化性中风(LAS)、小血管中风(SVS)或心肌栓塞性中风(CES)均无因果关系(所有 P 均为 0.05)。即使在调整了代谢相关特征后,这种无效关联仍然很强,而且在欧洲和亚洲人群中都是一致的。此外,反向 MR 分析也未显示 AS、AIS、LAS 或 CES 对青光眼风险有任何显著的因果效应。这些发现表明,在未来的研究中应仔细评估青光眼管理与中风风险预防之间的关系。反过来,中风诊断也不应简单地应用于青光眼风险预测。
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Association between glaucoma and stroke: A bidirectional mendelian randomization study

Purpose

Observational studies have reported positive associations between glaucoma and stroke; however, controversial results exist. Importantly, the nature of the relationship remains unknown since previous studies were not designed to test causality. Therefore, we aimed to investigate the possible causal relationships between glaucoma and stroke.

Methods

Our two-sample Mendelian randomization (MR) encompassed multi-ethnic large-scale genome-wide association studies with more than 20000 cases and 260000 controls for glaucoma, and more than 80000 cases and 630000 controls for stroke. Individual effect estimates for each SNP were combined using the inverse-variance weighted (IVW) method. To avoid potential pleiotropic effects, we adjusted the main results by excluding genetic variants associated with metabolic factors. The weighted median and MR-Egger methods were also used for the sensitivity analysis.

Results

Our MR analysis revealed that glaucoma and its subtypes, including primary open-angle glaucoma and primary angle-closure glaucoma, exhibited no causal role in relation to any stroke (AS), any ischemic stroke (AIS), large-artery atherosclerotic stroke (LAS), small-vessel stroke (SVS), or cardioembolic stroke (CES) across MR analyses (all P ​> ​0.05). The null associations remained robust even after adjusting for metabolic-related traits and were consistent in both the European and Asian populations. Furthermore, reverse MR analyses also did not indicate any significant causal effects of AS, AIS, LAS, or CES on glaucoma risk.

Conclusions

Evidence from our series of causal inference approaches using large-scale population-based MR analyses did not support causal effects between glaucoma and stroke. These findings suggest that the relationship of glaucoma management and stroke risk prevention should be carefully evaluated in future studies. In turn, stroke diagnosis should not be simply applied to glaucoma risk prediction.

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66 days
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