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Coagulation Factors in Ischemic Heart Disease Answers From a Mendelian Randomization Study Inspire Further Questions

机译:凝固在缺血性心脏病的因素答案从孟德尔随机化研究激发进一步的问题

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In recent years, Mendelian randomization (MR) became the causal inference tool de rigueur in observational epidemiology. Originally proposed more than 3 decades ago,1 MR has risen in popularity because the evidence of spurious associations in observational studies emerged as a critical challenge to the validity of most epidemiological findings. Canonically, this problem has been illustrated by examples such as the Women's Health Initiative, in which observational associations failed to reproduce in a randomized trial because of residual confounding and other forms of bias.2 MR promises to estimate unconfounded associations without requiring an actual randomized experiment, thus obviating many ethical and logistical hurdles一but relying on its own set of assumptions. In this issue of Circulation: Genomic and Precision Medicine, Zhao and Schooling3 used MR to explore potential causal associations between several coagulation factors and the risk of ischemic heart disease (IHD) using data from the CARDIoGRAM consortium (Coronary Artery Disease Genome Wide Replication and Meta-Analysis).
机译:近年来,孟德尔随机化(先生)成为了因果推理工具的必备功课观察性流行病学。3年前,1上升先生流行,因为虚假的证据在观察性研究成为协会一个关键挑战大多数的有效性流行病学调查结果。问题已经如例子所示妇女健康倡议,观察协会未能重现因为剩余一项随机试验混杂和其他形式的bias.2估计unconfounded协会需要一个实际的随机实验,因此从而消除一但许多伦理和后勤障碍依靠自己的假设。期的循环:基因组和精度医学、赵和Schooling3先生用来探索潜在的因果关系凝血因子和脑缺血的风险心脏病(IHD)使用的数据心电图联盟(冠状动脉疾病全基因组复制和荟萃分析)。

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