scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

Oxygen free radical and cytokine generation during endovascular and conventional aneurysm repair

TL;DR: The results suggest that the ischaemia-reperfusion response associated with conventional aneurysm surgery may be largely negated by endovascular techniques, which may have significant consequences as the generation of oxygen free radicals and cytokines have been implicated in the development of systemic organ failure following aortic surgery.

Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders

Symen Ligthart, +285 more
TL;DR: This paper performed two genome-wide association studies (GWASs) of circulating amounts of C-reactive protein (CRP) by using data from 88 studies comprising 204,402 European individuals.
Journal ArticleDOI

Sex hormone-binding globulin associations with circulating lipids and metabolites and the risk for type 2 diabetes: observational and causal effect estimates

TL;DR: In this paper, the causal role of SHBG for type 2 diabetes is investigated using Mendelian randomization and the results showed that higher SHBG was associated with a more favorable cardiometabolic risk profile, including associations with lipoprotein subclasses, fatty acid composition, amino acids, ketone bodies and inflammation-linked glycoproteins.
Journal ArticleDOI

Is Population Structure in the genetic biobank era irrelevant, a challenge, or an opportunity?

TL;DR: The arguments are illustrated using real examples (stroke and educational attainment) and a simulation study is used to illustrate when correction might be ineffective for avoiding biases and how problems can be avoided.