Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
School of Medical and Health Sciences, Edith Cowan University, Perth 6027, Australia.
Cells. 2019 Feb 14;8(2):159. doi: 10.3390/cells8020159.
Epidemiological studies observing inconsistent associations of telomere length (TL) with ischemic stroke (IS) are susceptible to bias according to reverse causation and residual confounding. We aimed to assess the causal association between TL, IS, and the subtypes of IS, including large artery stroke (LAS), small vessel stroke (SVS), and cardioembolic stroke (CES) by performing a series of two-sample Mendelian randomization (MR) approaches.
Seven single nucleotide polymorphisms (SNPs) were involved as candidate instrumental variables (IVs), summarized from a genome-wide meta-analysis including 37,684 participants of European descent. We analyzed the largest ever genome-wide association studies of stroke in Europe from the MEGASTROKE collaboration with 40,585 stroke cases and 406,111 controls. The weighted median (WM), the penalized weighted median (PWM), the inverse variance weighted (IVW), the penalized inverse variance weighted (PIVW), the robust inverse variance weighted (RIVW), and the Mendelian randomization-Egger (MR-Egger) methods were conducted for the MR analysis to estimate a causal effect and detect the directional pleiotropy.
No significant association between genetically determined TL with overall IS, LAS, or CES were found (all > 0.05). SVS was associated with TL by the RIVW method (odds ratio (OR) = 0.72, 95% confidence interval (CI): 0.54⁻0.97, = 0.028), after excluding rs9420907, rs10936599, and rs2736100.
By a series of causal inference approaches using SNPs as IVs, no strong evidence to support the causal effect of shorter TL on IS and its subtypes were found.
观察端粒长度 (TL) 与缺血性中风 (IS) 之间不一致关联的流行病学研究容易受到反向因果关系和残余混杂的影响。我们旨在通过一系列两样本孟德尔随机化 (MR) 方法来评估 TL、IS 和 IS 的亚型(包括大动脉粥样硬化性中风 (LAS)、小血管中风 (SVS) 和心源性栓塞性中风 (CES))之间的因果关系。
七个单核苷酸多态性 (SNP) 被用作候选工具变量 (IV),这些 SNP 是从包括 37684 名欧洲血统参与者的全基因组荟萃分析中汇总而来的。我们分析了欧洲最大的中风全基因组关联研究,即来自 MEGASTROKE 合作的 40585 例中风病例和 406111 例对照。采用加权中位数 (WM)、惩罚加权中位数 (PWM)、逆方差加权 (IVW)、惩罚逆方差加权 (PIVW)、稳健逆方差加权 (RIVW) 和孟德尔随机化 - 易格 (MR-Egger) 方法进行 MR 分析,以估计因果效应并检测定向异质性。
未发现遗传决定的 TL 与整体 IS、LAS 或 CES 之间存在显著关联(均 > 0.05)。通过 RIVW 方法发现 SVS 与 TL 相关(比值比 (OR) = 0.72,95%置信区间 (CI):0.54⁻0.97, = 0.028),排除 rs9420907、rs10936599 和 rs2736100 后。
通过使用 SNP 作为 IV 的一系列因果推理方法,没有强有力的证据支持较短 TL 对 IS 及其亚型的因果效应。