Mendelian randomization (MR) is a term that applies to the use of genetic variation to
address causal questions about how modifiable exposures influence different outcomes …

Genome-wide association studies have yielded thousands of associations for many
common diseases and disease-related complex traits. The identified associations made it …

The number of Mendelian randomization (MR) analyses including large numbers of genetic
variants is rapidly increasing. This is due to the proliferation of genome‐wide association …

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

An observational correlation between a suspected risk factor and an outcome does not
necessarily imply that interventions on levels of the risk factor will have a causal impact on …

Mendelian randomization (MR) harnesses genetic variants as instrumental variables (IVs) to
study the causal effect of exposure on outcome using summary statistics from genome-wide …

Integrating results from genome-wide association studies (GWASs) and gene expression
studies through transcriptome-wide association study (TWAS) has the potential to shed light …

While population-scale neuroimaging studies offer the promise of discovery and
characterisation of subtle risk factors, massive sample sizes increase the power for both …

Over a decade of genome-wide association studies (GWAS) have led to the finding of
extreme polygenicity of complex traits. The phenomenon that “all genes affect every complex …

A transcriptome-wide association study (TWAS) integrates data from genome-wide
association studies and gene expression mapping studies for investigating the gene …