User profiles for Jack Bowden

Jack Bowden

Professor 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 …

Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator

J Bowden, G Davey Smith, PC Haycock… - Genetic …, 2016 - Wiley Online Library
Developments in genome‐wide association studies and the increasing availability of summary
genetic association data have made application of Mendelian randomization relatively …

The MR-Base platform supports systematic causal inference across the human phenome

…, V Haberland, D Baird, C Laurin, S Burgess, J Bowden… - elife, 2018 - elifesciences.org
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 …

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 …

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 …

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 …

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 …

[HTML][HTML] Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants

S Burgess, J Bowden, T Fall, E Ingelsson… - …, 2017 - journals.lww.com
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 …

Evaluating the potential role of pleiotropy in Mendelian randomization studies

G Hemani, J Bowden… - Human molecular …, 2018 - academic.oup.com
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 …

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 …