孟德尔随机化研究综述：假设、方法及在肥胖相关疾病中的应用

IF 4.7 Q1 ENDOCRINOLOGY & METABOLISM

Journal of Obesity & Metabolic Syndrome Pub Date : 2025-01-30 Epub Date: 2025-01-15 DOI:10.7570/jomes24031

Seungjae Lee, Woojoo Lee

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引用次数: 0

摘要

孟德尔随机化（MR）是一种统计方法，它使用遗传变异作为工具变量来估计暴露对存在未测量混淆的结果的因果效应。在这篇综述中，我们认为在MR分析中承认工具变量假设是至关重要的。我们以肥胖相关代谢紊乱为例，描述了广泛使用的MR方法。我们描述了工具变量假设被违反的情况，并解释了如何评估这些违规行为，并采用稳健的方法来适应这些违规行为。

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A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases.

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.

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来源期刊

Journal of Obesity & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-

CiteScore

8.30

自引率

9.60%

发文量

审稿时长

19 weeks

期刊介绍： The journal was launched in 1992 and diverse studies on obesity have been published under the title of Journal of Korean Society for the Study of Obesity until 2004. Since 2017, volume 26, the title is now the Journal of Obesity & Metabolic Syndrome (pISSN 2508-6235, eISSN 2508-7576). The journal is published quarterly on March 30th, June 30th, September 30th and December 30th. The official title of the journal is now "Journal of Obesity & Metabolic Syndrome" and the abbreviated title is "J Obes Metab Syndr". Index words from medical subject headings (MeSH) list of Index Medicus are included in each article to facilitate article search. Some or all of the articles of this journal are included in the index of PubMed, PubMed Central, Scopus, Embase, DOAJ, Ebsco, KCI, KoreaMed, KoMCI, Science Central, Crossref Metadata Search, Google Scholar, and Emerging Sources Citation Index (ESCI).