User profiles for Jack Bowden
Jack BowdenProfessor of Biomedical Data Science, University of Exeter and Senior Director, Novo … Verified email at exeter.ac.uk Cited by 31927 |
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
J Bowden, G Davey Smith… - International journal of …, 2015 - academic.oup.com
Background: The number of Mendelian randomization analyses including large numbers of
genetic variants is rapidly increasing. This is due to the proliferation of genome-wide …
genetic variants is rapidly increasing. This is due to the proliferation of genome-wide …
Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator
Developments in genome‐wide association studies and the increasing availability of summary
genetic association data have made application of Mendelian randomization relatively …
genetic association data have made application of Mendelian randomization relatively …
The MR-Base platform supports systematic causal inference across the human phenome
10.7554/eLife.34408.001 Results from genome-wide association studies (GWAS) can be
used to infer causal relationships between phenotypes, using a strategy known as 2-sample …
used to infer causal relationships between phenotypes, using a strategy known as 2-sample …
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
…, G Davey Smith, J Bowden - International journal of …, 2017 - academic.oup.com
Background Mendelian randomization (MR) is being increasingly used to strengthen causal
inference in observational studies. Availability of summary data of genetic associations for a …
inference in observational studies. Availability of summary data of genetic associations for a …
Methods to estimate the between‐study variance and its uncertainty in meta‐analysis
…, W Viechtbauer, R Bender, J Bowden… - Research synthesis …, 2016 - Wiley Online Library
Meta‐analyses are typically used to estimate the overall/mean of an outcome of interest.
However, inference about between‐study variability, which is typically modelled using a …
However, inference about between‐study variability, which is typically modelled using a …
Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the statistic
J Bowden, F Del Greco M, C Minelli… - International journal …, 2016 - academic.oup.com
Background: MR-Egger regression has recently been proposed as a method for Mendelian
randomization (MR) analyses incorporating summary data estimates of causal effect from …
randomization (MR) analyses incorporating summary data estimates of causal effect from …
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
J Bowden, F Del Greco M, C Minelli… - Statistics in …, 2017 - Wiley Online Library
Mendelian randomization (MR) uses genetic data to probe questions of causality in
epidemiological research, by invoking the Instrumental Variable (IV) assumptions. In recent years, it …
epidemiological research, by invoking the Instrumental Variable (IV) assumptions. In recent years, it …
[HTML][HTML] Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants
Mendelian randomization investigations are becoming more powerful and simpler to perform,
due to the increasing size and coverage of genome-wide association studies and the …
due to the increasing size and coverage of genome-wide association studies and the …
Evaluating the potential role of pleiotropy in Mendelian randomization studies
Pleiotropy, the phenomenon of a single genetic variant influencing multiple traits, is likely
widespread in the human genome. If pleiotropy arises because the single nucleotide …
widespread in the human genome. If pleiotropy arises because the single nucleotide …
An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
…, F Windmeijer, J Bowden - International journal …, 2019 - academic.oup.com
Background Mendelian randomization (MR) is a powerful tool in epidemiology that can be
used to estimate the causal effect of an exposure on an outcome in the presence of …
used to estimate the causal effect of an exposure on an outcome in the presence of …