Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study

K. Panoutsopoulou, L. Southam, K. S. Elliott, N. Wrayner, G. Zhai, C. Beazley, G. Thorleifsson, N. K. Arden, A. Carr, K. Chapman, P. Deloukas, M. Doherty, A. McCaskie, W. E R Ollier, S. H. Ralston, T. D. Spector, A. M. Valdes, G. A. Wallis, J. M. Wilkinson, E. ArdenK. Battley, H. Blackburn, F. J. Blanco, S. Bumpstead, L. A. Cupples, A. G. Day-Williams, K. Dixon, S. A. Doherty, T. Esko, E. Evangelou, D. Felson, J. J. Gomez-Reino, A. Gonzalez, A. Gordon, R. Gwilliam, B. V. Halldorsson, V. B. Hauksson, A. Hofman, S. E. Hunt, J. P A Ioannidis, T. Ingvarsson, I. Jonsdottir, H. Jonsson, R. Keen, H. J M Kerkhof, M. G. Kloppenburg, N. Koller, N. Lakenberg, Nancy E Lane, A. T. Lee, A. Metspalu, I. Meulenbelt, M. C. Nevitt, F. O'Neill, N. Parimi, S. C. Potter, I. Rego-Perez, J. A. Riancho, K. Sherburn, P. E. Slagboom, K. Stefansson, U. Styrkarsdottir, M. Sumillera, D. Swift, U. Thorsteinsdottir, A. Tsezou, A. G. Uitterlinden, J. B J Van Meurs, B. Watkins, M. Wheeler, S. Mitchell, Y. Zhu, J. M. Zmuda, E. Zeggini, J. Loughlin

Research output: Contribution to journalArticle

93 Scopus citations

Abstract

Objectives: The genetic aetiology of osteoarthritis has not yet been elucidated. To enable a well-powered genome-wide association study (GWAS) for osteoarthritis, the authors have formed the arcOGEN Consortium, a UK-wide collaborative effort aiming to scan genome-wide over 7500 osteoarthritis cases in a two-stage genome-wide association scan. Here the authors report the findings of the stage 1 interim analysis. Methods: The authors have performed a genome-wide association scan for knee and hip osteoarthritis in 3177 cases and 4894 population-based controls from the UK. Replication of promising signals was carried out in silico in five further scans (44 449 individuals), and de novo in 14 534 independent samples, all of European descent. Results: None of the association signals the authors identified reach genome-wide levels of statistical significance, therefore stressing the need for corroboration in sample sets of a larger size. Application of analytical approaches to examine the allelic architecture of disease to the stage 1 genome-wide association scan data suggests that osteoarthritis is a highly polygenic disease with multiple risk variants conferring small effects. Conclusions: Identifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity.

Original languageEnglish (US)
Pages (from-to)864-867
Number of pages4
JournalAnnals of the Rheumatic Diseases
Volume70
Issue number5
DOIs
StatePublished - May 2011

ASJC Scopus subject areas

  • Rheumatology
  • Immunology
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Allergy

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    Panoutsopoulou, K., Southam, L., Elliott, K. S., Wrayner, N., Zhai, G., Beazley, C., Thorleifsson, G., Arden, N. K., Carr, A., Chapman, K., Deloukas, P., Doherty, M., McCaskie, A., Ollier, W. E. R., Ralston, S. H., Spector, T. D., Valdes, A. M., Wallis, G. A., Wilkinson, J. M., ... Loughlin, J. (2011). Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study. Annals of the Rheumatic Diseases, 70(5), 864-867. https://doi.org/10.1136/ard.2010.141473