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Combining information from common type 2 diabetes risk polymorphisms improves disease prediction

Abstract:

Background: A limited number of studies have assessed the risk of common diseases when combining information from several predisposing polymorphisms. In most cases, individual polymorphisms only moderately increase risk (~20%), and they are thought to be unhelpful in assessing individuals' risk clinically. This is often because, for any given disease, very few common risk alleles have been confirmed. Methods and findings: Three common variants (Lys23 of KCNJ11, Pro12 of PPARG, and the T allel...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pmed.0030374

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Institution:
"Peninsula Medical School, Exeter, UK"
Department:
Department of Diabetes Research and Vascular Medicine
Role:
Author
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Institution:
University of Oxford
Research group:
Diabetes Research Labs
Department:
Medical Sciences Division - Clinical Medicine,Nuffield Department of - Oxford Centre for Diabetes,Endocrinology & Metabolism
Role:
Author
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Institution:
"Bart's and the London Queen Mary's School of Medicine and Dentistry, University of London, London, UK"
Department:
Centre of Diabetes and Metabolic Medicine
Role:
Author
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Institution:
"School of Medicine, Newcastle-upon-Tyne, UK"
Department:
Department of Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Medical Sciences Division - Clinical Medicine,Nuffield Department of - Oxford Centre for Diabetes,Endocrinology & Metabolism
Role:
Author
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Funding agency for:
Michael N. Weedon
More from this funder
Funding agency for:
Andrew T. Hattersley
Diabetes UK More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Medicine Journal website
Volume:
3
Issue:
10
Pages:
Article: e374
Publication date:
2006-10-05
DOI:
EISSN:
1549-1676
ISSN:
1549-1277
URN:
uuid:63dcddf9-a9b3-45aa-a5b4-0a2d5dcd133e
Local pid:
ora:2517
Language:
English
Keywords:
Subjects:

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