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Natalie J. Prescott

Researcher at King's College London

Publications -  82
Citations -  31208

Natalie J. Prescott is an academic researcher from King's College London. The author has contributed to research in topics: Genome-wide association study & Inflammatory bowel disease. The author has an hindex of 40, co-authored 79 publications receiving 29048 citations. Previous affiliations of Natalie J. Prescott include UCL Institute of Child Health & University College 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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Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Luke Jostins, +105 more
- 01 Nov 2012 - 
TL;DR: A meta-analysis of Crohn’s disease and ulcerative colitis genome-wide association scans is undertaken, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls.
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Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease

Jeffrey C. Barrett, +62 more
- 01 Aug 2008 - 
TL;DR: The results strongly confirm 11 previously reported loci and provide genome-wide significant evidence for 21 additional loci, including the regions containing STAT3, JAK2, ICOSLG, CDKAL1 and ITLN1, which offer promise for informed therapeutic development.
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Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci

Andre Franke, +97 more
- 01 Dec 2010 - 
TL;DR: A meta-analysis of six Crohn's disease genome-wide association studies and a series of in silico analyses highlighted particular genes within these loci implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP.