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Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070286/ https://www.ncbi.nlm.nih.gov/pubmed/21177295 http://dx.doi.org/10.1136/ard.2010.141473 |
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author | 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 Arden, E Battley, K Blackburn, H Blanco, F J Bumpstead, S Cupples, L A Day-Williams, A G Dixon, K Doherty, S A Esko, T Evangelou, E Felson, D Gomez-Reino, J J Gonzalez, A Gordon, A Gwilliam, R Halldorsson, B V Hauksson, V B Hofman, A Hunt, S E Ioannidis, J P A Ingvarsson, T Jonsdottir, I Jonsson, H Keen, R Kerkhof, H J M Kloppenburg, M G Koller, N Lakenberg, N Lane, N E Lee, A T Metspalu, A Meulenbelt, I Nevitt, M C O'Neill, F Parimi, N Potter, S C Rego-Perez, I Riancho, J A Sherburn, K Slagboom, P E Stefansson, K Styrkarsdottir, U Sumillera, M Swift, D Thorsteinsdottir, U Tsezou, A Uitterlinden, A G van Meurs, J B J Watkins, B Wheeler, M Mitchell, S Zhu, Y Zmuda, J M Zeggini, E Loughlin, J |
author_facet | 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 Arden, E Battley, K Blackburn, H Blanco, F J Bumpstead, S Cupples, L A Day-Williams, A G Dixon, K Doherty, S A Esko, T Evangelou, E Felson, D Gomez-Reino, J J Gonzalez, A Gordon, A Gwilliam, R Halldorsson, B V Hauksson, V B Hofman, A Hunt, S E Ioannidis, J P A Ingvarsson, T Jonsdottir, I Jonsson, H Keen, R Kerkhof, H J M Kloppenburg, M G Koller, N Lakenberg, N Lane, N E Lee, A T Metspalu, A Meulenbelt, I Nevitt, M C O'Neill, F Parimi, N Potter, S C Rego-Perez, I Riancho, J A Sherburn, K Slagboom, P E Stefansson, K Styrkarsdottir, U Sumillera, M Swift, D Thorsteinsdottir, U Tsezou, A Uitterlinden, A G van Meurs, J B J Watkins, B Wheeler, M Mitchell, S Zhu, Y Zmuda, J M Zeggini, E Loughlin, J |
author_sort | Panoutsopoulou, K |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-3070286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-30702862011-04-11 Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study 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 Arden, E Battley, K Blackburn, H Blanco, F J Bumpstead, S Cupples, L A Day-Williams, A G Dixon, K Doherty, S A Esko, T Evangelou, E Felson, D Gomez-Reino, J J Gonzalez, A Gordon, A Gwilliam, R Halldorsson, B V Hauksson, V B Hofman, A Hunt, S E Ioannidis, J P A Ingvarsson, T Jonsdottir, I Jonsson, H Keen, R Kerkhof, H J M Kloppenburg, M G Koller, N Lakenberg, N Lane, N E Lee, A T Metspalu, A Meulenbelt, I Nevitt, M C O'Neill, F Parimi, N Potter, S C Rego-Perez, I Riancho, J A Sherburn, K Slagboom, P E Stefansson, K Styrkarsdottir, U Sumillera, M Swift, D Thorsteinsdottir, U Tsezou, A Uitterlinden, A G van Meurs, J B J Watkins, B Wheeler, M Mitchell, S Zhu, Y Zmuda, J M Zeggini, E Loughlin, J Ann Rheum Dis Basic and Translational Research 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. BMJ Group 2010-12-21 /pmc/articles/PMC3070286/ /pubmed/21177295 http://dx.doi.org/10.1136/ard.2010.141473 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Basic and Translational Research 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 Arden, E Battley, K Blackburn, H Blanco, F J Bumpstead, S Cupples, L A Day-Williams, A G Dixon, K Doherty, S A Esko, T Evangelou, E Felson, D Gomez-Reino, J J Gonzalez, A Gordon, A Gwilliam, R Halldorsson, B V Hauksson, V B Hofman, A Hunt, S E Ioannidis, J P A Ingvarsson, T Jonsdottir, I Jonsson, H Keen, R Kerkhof, H J M Kloppenburg, M G Koller, N Lakenberg, N Lane, N E Lee, A T Metspalu, A Meulenbelt, I Nevitt, M C O'Neill, F Parimi, N Potter, S C Rego-Perez, I Riancho, J A Sherburn, K Slagboom, P E Stefansson, K Styrkarsdottir, U Sumillera, M Swift, D Thorsteinsdottir, U Tsezou, A Uitterlinden, A G van Meurs, J B J Watkins, B Wheeler, M Mitchell, S Zhu, Y Zmuda, J M Zeggini, E Loughlin, J Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study |
title | Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study |
title_full | Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study |
title_fullStr | Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study |
title_full_unstemmed | Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study |
title_short | Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study |
title_sort | insights into the genetic architecture of osteoarthritis from stage 1 of the arcogen study |
topic | Basic and Translational Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070286/ https://www.ncbi.nlm.nih.gov/pubmed/21177295 http://dx.doi.org/10.1136/ard.2010.141473 |
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