J
Jack Bowden
Researcher at University of Exeter
Publications - 164
Citations - 24068
Jack Bowden is an academic researcher from University of Exeter. The author has contributed to research in topics: Mendelian randomization & Instrumental variable. The author has an hindex of 43, co-authored 156 publications receiving 13019 citations. Previous affiliations of Jack Bowden include University of Leicester & University of Bristol.
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Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
TL;DR: An adaption of Egger regression can detect some violations of the standard instrumental variable assumptions, and provide an effect estimate which is not subject to these violations, and provides a sensitivity analysis for the robustness of the findings from a Mendelian randomization investigation.
Journal ArticleDOI
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.
TL;DR: A novel weighted median estimator for combining data on multiple genetic variants into a single causal estimate is presented, which is consistent even when up to 50% of the information comes from invalid instrumental variables.
Journal ArticleDOI
The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani,Jie Zheng,Benjamin Elsworth,Kaitlin H Wade,Valeriia Haberland,Denis Baird,Charles Laurin,Stephen Burgess,Jack Bowden,Ryan Langdon,Vanessa Y Tan,James Yarmolinsky,Hashem A Shihab,Nicholas J. Timpson,David M. Evans,David M. Evans,Caroline L Relton,Richard M. Martin,George Davey Smith,Tom R. Gaunt,Philip C Haycock +20 more
TL;DR: MR-Base is a platform that integrates a curated database of complete GWAS results (no restrictions according to statistical significance) with an application programming interface, web app and R packages that automate 2SMR, and includes several sensitivity analyses for assessing the impact of horizontal pleiotropy and other violations of assumptions.
Peer ReviewDOI
Author response: The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani,Jie Zheng,Benjamin Elsworth,Kaitlin H Wade,Valeriia Haberland,Denis Baird,Charles Laurin,Stephen Burgess,Jack Bowden,Ryan Langdon,Vanessa Y Tan,James Yarmolinsky,Hashem A Shihab,Nicholas J. Timpson,David M. Evans,David M. Evans,Caroline L Relton,Richard M. Martin,George Davey Smith,Tom R. Gaunt,Philip C Haycock +20 more
Journal ArticleDOI
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption.
TL;DR: The mode-based estimate (MBE) is proposed to obtain a single causal effect estimate from multiple genetic instruments and is used by investigating the causal effect of plasma lipid fractions and urate levels on coronary heart disease risk.