Mendelian randomisation is an accessible and valuable epidemiological approach to
provide insight into the causal nature of relationships between risk factor exposures and …

Mendelian Randomization has become a popular tool to assess causal relationships using
existing observational data. While randomized controlled trials are considered the gold …

The original English book, authored by Dr Stephen Burgess and Professor Simon G
Thompson from the University of Cambridge, was first published by Chapman and Hall in …

Background: Observational epidemiology has been instrumental in identifying modifiable
causes of common diseases, and, in turn, substantially impacting public health. Spurious …

The methodology and application of Mendelian randomization to study causal mechanisms
in health and disease has developed dramatically over the past decade. New methods …

He was sceptical of the diagnosis at the time, but evidently thought little more about it. 1
Eleven years later he was informed that his sister, Helen (fig 1), was acutely ill in a …

Investigations into the aetiology of common complex diseases based on observational data
should make use of any opportunity to reduce bias due to unobserved confounding. In this …

Finding individual-level data for adequately-powered Mendelian randomization analyses
may be problematic. As publicly-available summarized data on genetic associations with …

Mendelian randomization (MR) is a method of studying the causal effects of modifiable
exposures (ie, potential risk factors) on health, social, and economic outcomes using genetic …

Mendelian randomization (MR) is an approach that uses genetic variants associated with a
modifiable exposure or biological intermediate to estimate the causal relationship between …