Comprehensive Mendelian Randomization Analysis of Smoking and Its Effects on Venous Thromboembolism.

IF 3.6 2区 医学 Q2 HEMATOLOGY
Yuhong Li, Ling Tong, Youqian Zhang, Birun Huang, Liping Zhu
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引用次数: 0

Abstract

An increasing number of Mendelian randomization (MR) studies have evaluated the causal link between smoking and venous thromboembolism (VTE). However, previous studies often rely on single genetic variants related to smoking quantity and exhibit various other shortcomings, making them prone to pleiotropy and potentially leading to imprecise causal estimates. Thus, the deeper causal mechanisms remain largely unexplored. This MR study reassessed the causal relationship between smoking and VTE, including its subtypes-deep vein thrombosis (DVT) and pulmonary embolism (PE). Data on VTE were sourced from the FinnGen consortium with nonoverlapping sample sizes. The smoking phenotypes analyzed included smoking initiation, lifetime smoking, the number of cigarettes smoked per day by both current and former smokers (CigDay), and total pack-years of smoking in adulthood. The primary analytical method was inverse-variance-weighted (IVW), supplemented by multiple verification methods to ensure robust results. Statistical rigor was ensured through LDtrait pruning and Steiger filtering for reverse causation, with comprehensive sensitivity analyses including RadialMR confirming the findings' robustness. After Bonferroni correction, this study demonstrates significant causal evidence linking lifetime smoking with the incidence of VTE (odds ratio [OR]IVW = 1.50, 95% confidence interval [CI] 1.21-1.85, p = 1.75 × 10-4) and PE (ORIVW = 1.69, 95% CI 1.25-2.28, p = 6.55 × 10-4), and suggestive evidence with DVT, consistent in direction with previous studies but showing considerable differences in effect sizes and significance. Additionally, CigDay (past and current) increases the risks of VTE and DVT, while no causal link was found between smoking initiation and VTE or its subtypes (p < 0.05), both directly contradicting previous conclusions. Furthermore, our study is the first to suggest a causal link between pack-years and an increased risk of VTE. This MR study employed rigorous statistical pruning of its instrumental variables, using the most comprehensive smoking phenotype to date. It successfully mitigated biases such as winner's curse, yielding causal effect results distinct from previous studies.

越来越多的孟德尔随机化(MR)研究评估了吸烟与静脉血栓栓塞症(VTE)之间的因果关系。然而,以往的研究往往依赖于与吸烟量相关的单个遗传变异,并表现出其他各种缺陷,因此容易产生多效性,并可能导致不精确的因果关系估计。因此,更深层次的因果机制在很大程度上仍未得到探索。这项磁共振研究重新评估了吸烟与 VTE(包括其亚型--深静脉血栓(DVT)和肺栓塞(PE))之间的因果关系。VTE数据来自FinnGen联盟,样本量不重叠。分析的吸烟表型包括开始吸烟、终生吸烟、当前吸烟者和曾经吸烟者每天吸烟的支数(CigDay)以及成年后吸烟的总包年数。主要分析方法是反方差加权法(IVW),并辅以多种验证方法以确保结果的稳健性。通过LDtrait修剪和Steiger反向因果过滤确保了统计的严谨性,包括RadialMR在内的综合敏感性分析证实了研究结果的稳健性。经过Bonferroni校正后,本研究显示终生吸烟与VTE(比值比[OR]IVW=1.50,95%置信区间[CI]1.21-1.85,p=1.75×10-4)和PE(ORIVW=1.69,95%置信区间[CI]1.25-2.28,p=6.55×10-4)发病率之间存在显著的因果关系,与DVT之间存在提示性证据,与之前的研究方向一致,但在效应大小和显著性方面存在较大差异。此外,吸烟(过去和现在)会增加罹患 VTE 和 DVT 的风险,而开始吸烟与 VTE 或其亚型之间没有发现因果关系(p<0.05)。
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来源期刊
Seminars in thrombosis and hemostasis
Seminars in thrombosis and hemostasis 医学-外周血管病
CiteScore
8.80
自引率
21.10%
发文量
132
审稿时长
6-12 weeks
期刊介绍: Seminars in Thrombosis and Hemostasis is a topic driven review journal that focuses on all issues relating to hemostatic and thrombotic disorders. As one of the premiere review journals in the field, Seminars in Thrombosis and Hemostasis serves as a comprehensive forum for important advances in clinical and laboratory diagnosis and therapeutic interventions. The journal also publishes peer reviewed original research papers. Seminars offers an informed perspective on today''s pivotal issues, including hemophilia A & B, thrombophilia, gene therapy, venous and arterial thrombosis, von Willebrand disease, vascular disorders and thromboembolic diseases. Attention is also given to the latest developments in pharmaceutical drugs along with treatment and current management techniques. The journal also frequently publishes sponsored supplements to further highlight emerging trends in the field.
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