Multivariable Mendelian Randomization and Mediation.


Journal

Cold Spring Harbor perspectives in medicine
ISSN: 2157-1422
Titre abrégé: Cold Spring Harb Perspect Med
Pays: United States
ID NLM: 101571139

Informations de publication

Date de publication:
01 02 2021
Historique:
pubmed: 29 4 2020
medline: 15 12 2021
entrez: 29 4 2020
Statut: epublish

Résumé

Mendelian randomization (MR) is the use of genetic variants associated with an exposure to estimate the causal effect of that exposure on an outcome. Mediation analysis is the method of decomposing the effects of an exposure on an outcome, which act directly, and those that act via mediating variables. These effects are decomposed through the use of multivariable analysis to estimate the causal effects between three types of variables: exposures, mediators, and an outcome. Multivariable MR (MVMR) is a recent extension to MR that uses genetic variants associated with multiple, potentially related exposures to estimate the effect of each exposure on a single outcome. MVMR allows for equivalent analysis to mediation within the MR framework and therefore can also be used to estimate mediation effects. This approach retains the benefits of using genetic instruments for causal inference, such as avoiding bias due to confounding, while allowing for estimation of the different effects required for mediation analysis. This review explains MVMR, what is estimated when one exposure is a mediator of another in an MVMR estimation, and how MR and MVMR can therefore be used to estimate mediated effects. This review then goes on to consider the advantages and limitations of using MR and MVMR to conduct mediation analysis.

Identifiants

pubmed: 32341063
pii: cshperspect.a038984
doi: 10.1101/cshperspect.a038984
pmc: PMC7849347
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Medical Research Council
ID : MC_UU_00011/2
Pays : United Kingdom

Informations de copyright

Copyright © 2021 Cold Spring Harbor Laboratory Press; all rights reserved.

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Auteurs

Eleanor Sanderson (E)

MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Clifton BS8 2BN, United Kingdom Eleanor.sanderson@bristol.ac.uk.

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Classifications MeSH