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Nicholas J. Timpson

Researcher at University of Bristol

Publications -  507
Citations -  85294

Nicholas J. Timpson is an academic researcher from University of Bristol. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 115, co-authored 452 publications receiving 71570 citations. Previous affiliations of Nicholas J. Timpson include Wellcome Trust Sanger Institute & University of London.

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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul Burton, +195 more
- 07 Jun 2007 - 
TL;DR: This study has demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in theBritish population is generally modest.
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A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

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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Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
- 01 Nov 2010 - 
TL;DR: Genetic loci associated with body mass index map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor, which may provide new insights into human body weight regulation.
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The MR-Base platform supports systematic causal inference across the human phenome

TL;DR: MR-Base is a platform that integrates a curated database of complete GWAS results (no restrictions according to statistical significance) with an application programming interface, web app and R packages that automate 2SMR, and includes several sensitivity analyses for assessing the impact of horizontal pleiotropy and other violations of assumptions.
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Mendelian randomization: using genes as instruments for making causal inferences in epidemiology.

TL;DR: The use of germline genetic variants that proxy for environmentally modifiable exposures as instruments for these exposures is one form of IV analysis that can be implemented within observational epidemiological studies and can be considered as analogous to randomized controlled trials.