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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

About the Authors

Michael N Weedon, Beverley Shields, Katharine R Owen, Andrew T Hattersley, Timothy M Frayling
Department of Diabetes Research and Vascular Medicine, Peninsula Medical School, Exeter, United Kingdom
Mark I McCarthy, Christopher J Groves, Eleftheria Zeggini, N. William Rayner
Oxford Centre for Diabetes, Endocrinology, and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom
Graham Hitman
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
Mark Walker
Department of Medicine, School of Medicine, Newcastle-upon-Tyne, United Kingdom

Corresponding Author

Email: Tim.Frayling@pms.ac.uk

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

MNW, MIM, CJG, EZ, NWR, ATH, and TMF were involved in the design and implementation of the study. MNW, MIM, CJG, EZ, NWR, ATH, and TMF were involved in the writing up of the study. MIM, GH, MW, BS, KRO, and ATH were involved in the design and execution of studies to collect DNA samples. All authors contributed to and read the final manuscript.