Mendelian Randomization: Concepts and Scope

Rebecca C. Richmond*, George Davey Smith

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

410 Citations (Scopus)
20 Downloads (Pure)

Abstract

Mendelian randomization (MR) is a method of studying the causal effects of modifiable exposures (i.e., potential risk factors) on health, social, and economic outcomes using genetic variants associated with the specific exposures of interest. MR provides a more robust understanding of the influence of these exposures on outcomes because germline genetic variants are randomly inherited from parents to offspring and, as a result, should not be related to potential confounding factors that influence exposure–outcome associations. The genetic variant can therefore be used as a tool to link the proposed risk factor and outcome, and to estimate this effect with less confounding and bias than conventional epidemiological approaches. We describe the scope of MR, highlighting the range of applications being made possible as genetic data sets and resources become larger and more freely available. We outline the MR approach in detail, covering concepts, assumptions, and estimation methods. We cover some common misconceptions, provide strategies for overcoming violation of assumptions, and discuss future prospects for extending the clinical applicability, methodological innovations, robustness, and generalizability of MR findings.
Original languageEnglish
Title of host publication Combining Human Genetics and Causal Inference to Understand Human Disease and Development
PublisherCold Spring Harbor Laboratory Press
Number of pages39
ISBN (Print)9781621823810
DOIs
Publication statusPublished - 31 Jan 2022

Publication series

NameCold Spring Harbor perspectives in medicine
ISSN (Print)2157-1422

Bibliographical note

Funding Information: This work was supported by the MRC Integrative Epidemiology Unit which receives funding from the UK Medical Research Council and the University of Bristol (MC_UU_00011/1). R.C.R. is a de Pass Vice Chancellor's Research Fellow at the University of Bristol.

Publisher Copyright: © 2022 Cold Spring Harbor Laboratory Press; all rights reserved.

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