Mendelian randomization refers to an analytic approach to assess the causality of an
observed association between a modifiable exposure or risk factor and a clinically relevant …

We give critical attention to the assumptions underlying Mendelian randomization analysis
and their biological plausibility. Several scenarios violating the Mendelian randomization …

Background Mendelian randomization (MR) is being increasingly used to strengthen causal
inference in observational studies. Availability of summary data of genetic associations for a …

Mendelian randomisation (MR) estimates causal effects of modifiable phenotypes on an
outcome by using genetic variants as instrumental variables, but its validity relies on the …

Genome‐wide association studies, which typically report regression coefficients
summarizing the associations of many genetic variants with various traits, are potentially a …

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides
thorough coverage of the methods and practical elements of Mendelian randomization …

Presents the Terminology and Methods of Mendelian Randomization for Epidemiological
StudiesMendelian randomization uses genetic instrumental variables to make inferences …

Abstract Background Mendelian Randomization (MR) studies assess the causality of an
exposure–disease association using genetic determinants [ie instrumental variables (IVs)] of …

Background: Sample size calculations are an important tool for planning epidemiological
studies. Large sample sizes are often required in Mendelian randomization investigations …

Mendelian randomisation analyses use genetic variants as instrumental variables (IVs) to
estimate causal effects of modifiable risk factors on disease outcomes. Genetic variants …