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 assumption...

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Main Authors: Seungjae Lee, Woojoo Lee
Format: Article
Language:English
Published: Korean Society for the Study of Obesity 2025-01-01
Series:Journal of Obesity & Metabolic Syndrome
Subjects:
Online Access:http://www.jomes.org/journal/view.html?doi=10.7570/jomes24031
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author Seungjae Lee
Woojoo Lee
author_facet Seungjae Lee
Woojoo Lee
author_sort Seungjae Lee
collection DOAJ
description 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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spelling doaj-art-6296e7c681d0412cb154fae001431c742025-01-24T03:28:56ZengKorean Society for the Study of ObesityJournal of Obesity & Metabolic Syndrome2508-62352025-01-01341142610.7570/jomes24031jomes24031A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related DiseasesSeungjae Lee0Woojoo Lee1Institute of Health and Environment, Seoul National University, Seoul, KoreaInstitute of Health and Environment, Seoul National University, Seoul, KoreaMendelian 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.http://www.jomes.org/journal/view.html?doi=10.7570/jomes24031causalityconfounding factorsepidemiologicgenetic pleiotropygenetic variationgenome-wide association studyhuman geneticsmendelian randomization analysis
spellingShingle Seungjae Lee
Woojoo Lee
A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases
Journal of Obesity & Metabolic Syndrome
causality
confounding factors
epidemiologic
genetic pleiotropy
genetic variation
genome-wide association study
human genetics
mendelian randomization analysis
title A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases
title_full A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases
title_fullStr A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases
title_full_unstemmed A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases
title_short A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases
title_sort review of mendelian randomization assumptions methods and application to obesity related diseases
topic causality
confounding factors
epidemiologic
genetic pleiotropy
genetic variation
genome-wide association study
human genetics
mendelian randomization analysis
url http://www.jomes.org/journal/view.html?doi=10.7570/jomes24031
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