Bashir Nasir Z, Romandini Mario, Kebschull Moritz, Tsilidis Konstantinos K, Michaud Dominique S, Burgess Stephen
MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Perio-Implant Innovation Center, Institute for Integrated Oral, Craniofacial and Sensory Research - National Clinical Research Center of Stomatology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
J Periodontal Res. 2025 May 9. doi: 10.1111/jre.13411.
In recent years, the popularity of Mendelian randomization (MR) as a technique to investigate causal relationships has grown exponentially. This approach leverages randomness inherent in the allocation of genetic variants to circumvent issues of unobserved confounding and reverse causation that compromise many causal claims based on observational data. In this manuscript, the key assumptions required for MR analyses to yield credible causal inferences are reviewed. It is emphasized that even technically rigorous MR analyses may yield implausible conclusions if these assumptions are violated. The goal is to provide readers from nonstatistical backgrounds with a clear understanding of the foundational assumptions underpinning MR, complemented by a detailed discussion of specific considerations in oral health research, particularly when periodontitis is used as the exposure or outcome. As with any study design, MR is appropriate and can provide compelling evidence for causality in certain contexts, while its application may be unwarranted in others. This methodological article aims to equip readers with the tools to critically assess MR findings, distinguish scenarios where its use is justified, and understand the key steps for correct execution and reporting. A checklist for assessing the credibility of MR investigations is also provided.
近年来,孟德尔随机化(MR)作为一种研究因果关系的技术,其受欢迎程度呈指数级增长。这种方法利用基因变异分配中固有的随机性,来规避未观察到的混杂因素和反向因果关系问题,而这些问题会影响许多基于观察数据得出的因果结论。在本手稿中,回顾了MR分析得出可信因果推断所需的关键假设。需要强调的是,如果这些假设被违反,即使是技术上严格的MR分析也可能得出不合理的结论。目标是让非统计学背景的读者清楚理解支撑MR的基本假设,并辅以对口腔健康研究中具体考量因素的详细讨论,特别是当牙周炎被用作暴露因素或结果时。与任何研究设计一样,MR在某些情况下是合适的,并且可以为因果关系提供有力证据,而在其他情况下其应用可能毫无根据。这篇方法学文章旨在为读者提供工具,以便批判性地评估MR结果,区分其使用合理的情况,并理解正确实施和报告的关键步骤。还提供了一份评估MR研究可信度的清单。