G
George Davey Smith
Researcher at University of Bristol
Publications - 2646
Citations - 294406
George Davey Smith is an academic researcher from University of Bristol. The author has contributed to research in topics: Population & Mendelian randomization. The author has an hindex of 224, co-authored 2540 publications receiving 248373 citations. Previous affiliations of George Davey Smith include Keele University & Western Infirmary.
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Bias in meta-analysis detected by a simple, graphical test
TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity
Timothy M. Frayling,Nicholas J. Timpson,Michael N. Weedon,Eleftheria Zeggini,Eleftheria Zeggini,Eleftheria Zeggini,Rachel M. Freathy,Cecilia M. Lindgren,John R. B. Perry,Katherine S. Elliott,Katherine S. Elliott,Hana Lango,Nigel W. Rayner,Nigel W. Rayner,Nigel W. Rayner,Beverley M. Shields,Lorna W. Harries,Jeffrey C. Barrett,Jeffrey C. Barrett,Sian Ellard,Christopher J. Groves,Christopher J. Groves,Bridget A. Knight,Ann-Marie Patch,Andy R Ness,Shah Ebrahim,Debbie A Lawlor,Susan M. Ring,Yoav Ben-Shlomo,Marjo-Riitta Järvelin,Marjo-Riitta Järvelin,Ulla Sovio,Ulla Sovio,Amanda J. Bennett,Amanda J. Bennett,David Melzer,Luigi Ferrucci,Ruth J. F. Loos,Inês Barroso,Nicholas J. Wareham,Fredrik Karpe,Fredrik Karpe,Katharine R. Owen,Katharine R. Owen,Lon R. Cardon,Mark Walker,Graham A. Hitman,Graham A. Hitman,Colin N. A. Palmer,Colin N. A. Palmer,Alex S. F. Doney,Alex S. F. Doney,Andrew D. Morris,George Davey Smith,Andrew T. Hattersley,Mark I. McCarthy +55 more
TL;DR: A genome-wide search for type 2 diabetes–susceptibility genes identified a common variant in the FTO (fat mass and obesity associated) gene that predisposes to diabetes through an effect on body mass index (BMI).
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‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?
George Davey Smith,Shah Ebrahim +1 more
TL;DR: Mendelian randomization provides new opportunities to test causality and demonstrates how investment in the human genome project may contribute to understanding and preventing the adverse effects on human health of modifiable exposures.
Journal ArticleDOI
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.
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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.