Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SM...
An adaption of Egger regression (which we call MR-Egger) can detect some violations of the standard instrumental variable assumptions, and provide an effect estimate which is no...
ABSTRACT Genome‐wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potential...
Allele scores enable valid causal estimates with large numbers of genetic variants. The stringency of criteria for genetic variants in Mendelian randomization should be maintain...
Mendelian randomisation is a technique for assessing causal associations in observational data. Genetic variants associated with the risk factor of interest are regarded in a si...
Instrumental variable estimates of causal effects can be biased when using many instruments that are only weakly associated with the exposure. We describe several techniques to ...
h-index: Number of publications with at least h citations each.