TY - CHAP
T1 - Mendelian Randomization
T2 - Concepts and Scope
AU - Richmond, Rebecca C.
AU - Smith, George Davey
N1 - 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.
PY - 2022/1/31
Y1 - 2022/1/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85122265505&partnerID=8YFLogxK
U2 - 10.1101/cshperspect.a040501
DO - 10.1101/cshperspect.a040501
M3 - Chapter in a book
C2 - 34426474
AN - SCOPUS:85122265505
SN - 9781621823810
T3 - Cold Spring Harbor perspectives in medicine
BT - Combining Human Genetics and Causal Inference to Understand Human Disease and Development
PB - Cold Spring Harbor Laboratory Press
ER -