Lee Seungjae, Lee Woojoo
Institute of Health and Environment, Seoul National University, Seoul, Korea.
Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea.
J Obes Metab Syndr. 2025 Jan 30;34(1):14-26. doi: 10.7570/jomes24031. Epub 2025 Jan 15.
Mendelian randomization (MR) is a statistical method that uses genetic variants as instrumental variables to estimate the causal effect of exposure on an outcome in the presence of unmeasured confounding. In this review, we argue that it is crucial to acknowledge the instrumental variable assumptions in MR analysis. We describe widely used MR methods, using an example from obesity-related metabolic disorders. We describe situations in which instrumental variable assumptions are violated and explain how to evaluate these violations and employ robust methods for accommodating such violations.
孟德尔随机化（MR）是一种统计方法，它使用基因变异作为工具变量，以估计在存在未测量混杂因素的情况下暴露对结局的因果效应。在本综述中，我们认为在MR分析中认识到工具变量假设至关重要。我们使用肥胖相关代谢紊乱的一个例子来描述广泛使用的MR方法。我们描述了工具变量假设被违反的情况，并解释如何评估这些违反情况以及采用稳健方法来应对此类违反情况。
