Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects

Abstract A conventional Mendelian randomization analysis assesses the causal effect of a risk factor on an outcome by using genetic variants that are solely associated with the risk factor of interest as instrumental variables. However, in some cases, such as the case of triglyceride level as a risk...

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Bibliographic Details
Published in:	American journal of epidemiology Vol. 181; no. 4; pp. 251 - 260
Main Authors:	Burgess, Stephen, Thompson, Simon G.
Format:	Journal Article
Language:	English
Published:	United States Oxford University Press 15.02.2015
Subjects:	Biomarkers - blood Causality Cholesterol, HDL - blood Cholesterol, LDL - blood Coronary Disease - blood Coronary Disease - diagnosis Coronary Disease - epidemiology Coronary Disease - genetics Genetic Pleiotropy - genetics Genetic Variation - genetics Humans Mathematical Computing Mendelian Randomization Analysis - methods Models, Genetic Predictive Value of Tests Risk Factors Sensitivity and Specificity Triglycerides - blood United Kingdom - epidemiology lipid fractions epidemiologic methods instrumental variables Mendelian randomization causal inference pleiotropy
ISSN:	0002-9262, 1476-6256, 1476-6256
Online Access:	Get full text
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