Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates

• Published in: European journal of epidemiology Vol. 33; no. 10; pp. 947 - 952
• Main Authors: Burgess, Stephen, Labrecque, Jeremy A.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 01.10.2018; Springer Netherlands; Springer Nature B.V
• Subjects: Blood Pressure; Cardiology; Epidemiology; Exposure; Genetic diversity; Genetic variance; Genetic Variation; Humans; Hypertension; Infectious Diseases; Likelihood Functions; Medicine; Medicine & Public Health; Mendelian Randomization Analysis - methods; METHODS; Models, Genetic; Models, Statistical; Oncology; Public Health; Random Allocation; Randomization; Risk Factors; Subgroups; Causal inference; Instrumental variable; Effect estimation; Mendelian randomization; Genetic epidemiology

Mendelian randomization uses genetic variants to make causal inferences about a modifiable exposure. Subject to a genetic variant satisfying the instrumental variable assumptions, an association between the variant and outcome implies a causal effect of the exposure on the outcome. Complications ari...