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Research Article

Combining Information from Common Type 2 Diabetes Risk Polymorphisms Improves Disease Prediction

  • Michael N Weedon,

    Affiliation: Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom

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  • Mark I McCarthy,

    Affiliation: Oxford Centre for Diabetes, Endocrinology, and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom

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  • Graham Hitman,

    Affiliation: Centre of Diabetes and Metabolic Medicine, Bart's and the London Queen Mary's School of Medicine and Dentistry, University of London, London, United Kingdom

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  • Mark Walker,

    Affiliation: Department of Medicine, School of Medicine, Newcastle-upon-Tyne, United Kingdom

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  • Christopher J Groves,

    Affiliation: Oxford Centre for Diabetes, Endocrinology, and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom

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  • Eleftheria Zeggini,

    Affiliation: Oxford Centre for Diabetes, Endocrinology, and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom

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  • N. William Rayner,

    Affiliation: Oxford Centre for Diabetes, Endocrinology, and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom

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  • Beverley Shields,

    Affiliation: Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom

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  • Katharine R Owen,

    Affiliation: Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom

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  • Andrew T Hattersley,

    Affiliation: Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom

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  • Timothy M Frayling mail

    To whom correspondence should be addressed. E-mail: Tim.Frayling@pms.ac.uk

    Affiliation: Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom

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  • Published: October 03, 2006
  • DOI: 10.1371/journal.pmed.0030374

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