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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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The combined effect of smoking tobacco and drinking alcohol on cause-specific mortality: a 30 year cohort study

TL;DR: Smoking and drinking 15+ units/week was the riskiest behaviour for all causes of death and adjusting for a wide range of confounders attenuated the relative rates but the effects of alcohol and smoking still remained.
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Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium

Janine F. Felix, +153 more
TL;DR: Author(s): Felix, Janine F; Joubert, Bonnie R; Baccarelli, Andrea A; Sharp, Gemma C; Almqvist, Catarina; Annesi-Maesano, Isabella; Arshad, Hasan; Baiz, Nour; Bakermans-Kranenburg, Marian J; Bakulski, Kelly M; Binder, Elisabeth B; Bouchard, Luigi; Breton, Carrie V.
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Population phenomena inflate genetic associations of complex social traits.

TL;DR: It is demonstrated that both heritability and genetic correlation may be biased estimates of the causal contribution of genotype, and use of these methods in combination with family-based designs may offer researchers greater opportunities to explore the mechanisms driving genotype-phenotype associations.
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Commentary: The hormone replacement–coronary heart disease conundrum: is this the death of observational epidemiology?

TL;DR: The authors of the meta-analysis reprinted in this issue of the International Journal of Epidemiology concluded that the pooled estimate of effect from the best quality observational studies inferred a relative reduction of 50% with ever use of HRT and stated that ‘overall, the bulk of the evidence strongly supports a protective effect of estrogens that is unlikely to be explained by confounding factors’.
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Meta-analysis of gene–environment-wide association scans accounting for education level identifies additional loci for refractive error

Qiao Fan, +172 more
TL;DR: Six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error are identified and represent an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia.