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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Journal ArticleDOI
Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis
Tom G. Richardson,Eleanor Sanderson,Tom Palmer,Mika Ala-Korpela,Brian A. Ference,George Davey Smith,Michael V. Holmes +6 more
TL;DR: Genetic instruments for lipoprotein lipid traits implemented through multivariable Mendelian randomisation suggest that apolipoprotein B is a leading candidate for a causal role in the aetiology of CHD, but these effect estimates attenuated substantially to the null on accounting for apoliprotein B.
Journal ArticleDOI
Individual Risk factors for Hip Osteoarthritis: Obesity, Hip Injury and Physical Activity
Cyrus Cooper,Hazel Inskip,Peter Croft,L Campbell,George Davey Smith,Magnus McLaren,David Coggon +6 more
TL;DR: Obesity and hip injury are important independent risk factors for hip osteoarthritis, which might be amenable to primary prevention in a population-based case-control study.
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Cortisol, testosterone, and coronary heart disease: prospective evidence from the Caerphilly study.
George Davey Smith,Yoav Ben-Shlomo,Andrew D Beswick,John Yarnell,Stafford L. Lightman,Peter Creighton Elwood +5 more
TL;DR: This is the first population-based prospective study that has found a specific association between cortisol:testosterone ratio and incident ischemic heart disease, apparently mediated through the insulin resistance syndrome.
Posted ContentDOI
Collider bias undermines our understanding of COVID-19 disease risk and severity
Gareth J Griffith,Tim T Morris,Matt J Tudball,Annie Herbert,Giulia Mancano,Lindsey Pike,Gemma C Sharp,Tom Palmer,George Davey Smith,Kate Tilling,Luisa Zuccolo,Neil M Davies,Gibran Hemani +12 more
TL;DR: The challenge of interpreting observational evidence from samples of the population, which may be affected by collider bias, is highlighted using data from the UK Biobank in which individuals tested for COVID-19 are highly selected for a wide range of genetic, behavioural, cardiovascular, demographic, and anthropometric traits.
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The health effects of major organisational change and job insecurity
TL;DR: Compared with controls, men both already working in and anticipating transfer to an executive agency experienced significant increases in health self-rated as "average or worse", longstanding illness, adverse sleep patterns, mean number of symptoms in the fortnight before questionnaire completion, and minor psychiatric morbidity.