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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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Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight

Jessica Tyrrell, +89 more
TL;DR: Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version.
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Body mass index and psychiatric disorders: a Mendelian randomization study.

TL;DR: The findings do not support the notion that higher BMI increases risk of bipolar disorder and schizophrenia, and the fact that SNP-depression associations were estimated in relatively small samples reduced power to detect causal effects.
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Heavier smoking may lead to a relative increase in waist circumference: evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortium.

Richard W Morris, +70 more
- 11 Aug 2015 - 
TL;DR: For a given BMI, a gene variant associated with increased cigarette consumption was associated with increase waist circumference, suggesting that smoking in an effort to control weight may lead to accumulation of central adiposity.
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Associations between income inequality and mortality among US states: the importance of time period and source of income data.

TL;DR: The strong association between income inequality and mortality observed among US states for 1989 was not observed for other periods from 1949 through 1999 and when tax return rather than census data were used, the association was weaker for 1989 and 1999.

GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Alexessander Couto Alves, +90 more
TL;DR: In this paper, the authors combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health.