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Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies

OBJECTIVE: To assess candidate genes for association with osteoarthritis (OA) and identify promising genetic factors and, secondarily, to assess the candidate gene approach in OA. METHODS: A total of 199 candidate genes for association with OA were identified using Human Genome Epidemiology (HuGE) N...

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Autores principales: Rodriguez-Fontenla, Cristina, Calaza, Manuel, Evangelou, Evangelos, Valdes, Ana M, Arden, Nigel, Blanco, Francisco J, Carr, Andrew, Chapman, Kay, Deloukas, Panos, Doherty, Michael, Esko, Tõnu, Garcés Aletá, Carlos M, Gomez-Reino Carnota, Juan J, Helgadottir, Hafdis, Hofman, Albert, Jonsdottir, Ingileif, Kerkhof, Hanneke J M, Kloppenburg, Margreet, McCaskie, Andrew, Ntzani, Evangelia E, Ollier, William E R, Oreiro, Natividad, Panoutsopoulou, Kalliope, Ralston, Stuart H, Ramos, Yolande F, Riancho, Jose A, Rivadeneira, Fernando, Slagboom, P Eline, Styrkarsdottir, Unnur, Thorsteinsdottir, Unnur, Thorleifsson, Gudmar, Tsezou, Aspasia, Uitterlinden, André G, Wallis, Gillian A, Wilkinson, J Mark, Zhai, Guangju, Zhu, Yanyan, Felson, David T, Ioannidis, John P A, Loughlin, John, Metspalu, Andres, Meulenbelt, Ingrid, Stefansson, Kari, van Meurs, Joyce B, Zeggini, Eleftheria, Spector, Timothy D, Gonzalez, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660891/
https://www.ncbi.nlm.nih.gov/pubmed/24757145
http://dx.doi.org/10.1002/art.38300
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author Rodriguez-Fontenla, Cristina
Calaza, Manuel
Evangelou, Evangelos
Valdes, Ana M
Arden, Nigel
Blanco, Francisco J
Carr, Andrew
Chapman, Kay
Deloukas, Panos
Doherty, Michael
Esko, Tõnu
Garcés Aletá, Carlos M
Gomez-Reino Carnota, Juan J
Helgadottir, Hafdis
Hofman, Albert
Jonsdottir, Ingileif
Kerkhof, Hanneke J M
Kloppenburg, Margreet
McCaskie, Andrew
Ntzani, Evangelia E
Ollier, William E R
Oreiro, Natividad
Panoutsopoulou, Kalliope
Ralston, Stuart H
Ramos, Yolande F
Riancho, Jose A
Rivadeneira, Fernando
Slagboom, P Eline
Styrkarsdottir, Unnur
Thorsteinsdottir, Unnur
Thorleifsson, Gudmar
Tsezou, Aspasia
Uitterlinden, André G
Wallis, Gillian A
Wilkinson, J Mark
Zhai, Guangju
Zhu, Yanyan
Felson, David T
Ioannidis, John P A
Loughlin, John
Metspalu, Andres
Meulenbelt, Ingrid
Stefansson, Kari
van Meurs, Joyce B
Zeggini, Eleftheria
Spector, Timothy D
Gonzalez, Antonio
author_facet Rodriguez-Fontenla, Cristina
Calaza, Manuel
Evangelou, Evangelos
Valdes, Ana M
Arden, Nigel
Blanco, Francisco J
Carr, Andrew
Chapman, Kay
Deloukas, Panos
Doherty, Michael
Esko, Tõnu
Garcés Aletá, Carlos M
Gomez-Reino Carnota, Juan J
Helgadottir, Hafdis
Hofman, Albert
Jonsdottir, Ingileif
Kerkhof, Hanneke J M
Kloppenburg, Margreet
McCaskie, Andrew
Ntzani, Evangelia E
Ollier, William E R
Oreiro, Natividad
Panoutsopoulou, Kalliope
Ralston, Stuart H
Ramos, Yolande F
Riancho, Jose A
Rivadeneira, Fernando
Slagboom, P Eline
Styrkarsdottir, Unnur
Thorsteinsdottir, Unnur
Thorleifsson, Gudmar
Tsezou, Aspasia
Uitterlinden, André G
Wallis, Gillian A
Wilkinson, J Mark
Zhai, Guangju
Zhu, Yanyan
Felson, David T
Ioannidis, John P A
Loughlin, John
Metspalu, Andres
Meulenbelt, Ingrid
Stefansson, Kari
van Meurs, Joyce B
Zeggini, Eleftheria
Spector, Timothy D
Gonzalez, Antonio
author_sort Rodriguez-Fontenla, Cristina
collection PubMed
description OBJECTIVE: To assess candidate genes for association with osteoarthritis (OA) and identify promising genetic factors and, secondarily, to assess the candidate gene approach in OA. METHODS: A total of 199 candidate genes for association with OA were identified using Human Genome Epidemiology (HuGE) Navigator. All of their single-nucleotide polymorphisms (SNPs) with an allele frequency of >5% were assessed by fixed-effects meta-analysis of 9 genome-wide association studies (GWAS) that included 5,636 patients with knee OA and 16,972 control subjects and 4,349 patients with hip OA and 17,836 control subjects of European ancestry. An additional 5,921 individuals were genotyped for significantly associated SNPs in the meta-analysis. After correction for the number of independent tests, P values less than 1.58 × 10(−5) were considered significant. RESULTS: SNPs at only 2 of the 199 candidate genes (COL11A1 and VEGF) were associated with OA in the meta-analysis. Two SNPs in COL11A1 showed association with hip OA in the combined analysis: rs4907986 (P = 1.29 × 10(−5), odds ratio [OR] 1.12, 95% confidence interval [95% CI] 1.06−1.17) and rs1241164 (P = 1.47 × 10(−5), OR 0.82, 95% CI 0.74−0.89). The sex-stratified analysis also showed association of COL11A1 SNP rs4908291 in women (P = 1.29 × 10(−5), OR 0.87, 95% CI 0.82−0.92); this SNP showed linkage disequilibrium with rs4907986. A single SNP of VEGF, rs833058, showed association with hip OA in men (P = 1.35 × 10(−5), OR 0.85, 95% CI 0.79−0.91). After additional samples were genotyped, association at one of the COL11A1 signals was reinforced, whereas association at VEGF was slightly weakened. CONCLUSION: Two candidate genes, COL11A1 and VEGF, were significantly associated with OA in this focused meta-analysis. The remaining candidate genes were not associated.
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spelling pubmed-46608912015-12-04 Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies Rodriguez-Fontenla, Cristina Calaza, Manuel Evangelou, Evangelos Valdes, Ana M Arden, Nigel Blanco, Francisco J Carr, Andrew Chapman, Kay Deloukas, Panos Doherty, Michael Esko, Tõnu Garcés Aletá, Carlos M Gomez-Reino Carnota, Juan J Helgadottir, Hafdis Hofman, Albert Jonsdottir, Ingileif Kerkhof, Hanneke J M Kloppenburg, Margreet McCaskie, Andrew Ntzani, Evangelia E Ollier, William E R Oreiro, Natividad Panoutsopoulou, Kalliope Ralston, Stuart H Ramos, Yolande F Riancho, Jose A Rivadeneira, Fernando Slagboom, P Eline Styrkarsdottir, Unnur Thorsteinsdottir, Unnur Thorleifsson, Gudmar Tsezou, Aspasia Uitterlinden, André G Wallis, Gillian A Wilkinson, J Mark Zhai, Guangju Zhu, Yanyan Felson, David T Ioannidis, John P A Loughlin, John Metspalu, Andres Meulenbelt, Ingrid Stefansson, Kari van Meurs, Joyce B Zeggini, Eleftheria Spector, Timothy D Gonzalez, Antonio Arthritis Rheumatol Osteoarthritis OBJECTIVE: To assess candidate genes for association with osteoarthritis (OA) and identify promising genetic factors and, secondarily, to assess the candidate gene approach in OA. METHODS: A total of 199 candidate genes for association with OA were identified using Human Genome Epidemiology (HuGE) Navigator. All of their single-nucleotide polymorphisms (SNPs) with an allele frequency of >5% were assessed by fixed-effects meta-analysis of 9 genome-wide association studies (GWAS) that included 5,636 patients with knee OA and 16,972 control subjects and 4,349 patients with hip OA and 17,836 control subjects of European ancestry. An additional 5,921 individuals were genotyped for significantly associated SNPs in the meta-analysis. After correction for the number of independent tests, P values less than 1.58 × 10(−5) were considered significant. RESULTS: SNPs at only 2 of the 199 candidate genes (COL11A1 and VEGF) were associated with OA in the meta-analysis. Two SNPs in COL11A1 showed association with hip OA in the combined analysis: rs4907986 (P = 1.29 × 10(−5), odds ratio [OR] 1.12, 95% confidence interval [95% CI] 1.06−1.17) and rs1241164 (P = 1.47 × 10(−5), OR 0.82, 95% CI 0.74−0.89). The sex-stratified analysis also showed association of COL11A1 SNP rs4908291 in women (P = 1.29 × 10(−5), OR 0.87, 95% CI 0.82−0.92); this SNP showed linkage disequilibrium with rs4907986. A single SNP of VEGF, rs833058, showed association with hip OA in men (P = 1.35 × 10(−5), OR 0.85, 95% CI 0.79−0.91). After additional samples were genotyped, association at one of the COL11A1 signals was reinforced, whereas association at VEGF was slightly weakened. CONCLUSION: Two candidate genes, COL11A1 and VEGF, were significantly associated with OA in this focused meta-analysis. The remaining candidate genes were not associated. Blackwell Publishing Ltd 2014-04 2014-03-28 /pmc/articles/PMC4660891/ /pubmed/24757145 http://dx.doi.org/10.1002/art.38300 Text en © 2014 The Authors. Arthritis & Rheumatology published by Wiley Periodicals, Inc. on behalf of the American College of Rheumatology. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Osteoarthritis
Rodriguez-Fontenla, Cristina
Calaza, Manuel
Evangelou, Evangelos
Valdes, Ana M
Arden, Nigel
Blanco, Francisco J
Carr, Andrew
Chapman, Kay
Deloukas, Panos
Doherty, Michael
Esko, Tõnu
Garcés Aletá, Carlos M
Gomez-Reino Carnota, Juan J
Helgadottir, Hafdis
Hofman, Albert
Jonsdottir, Ingileif
Kerkhof, Hanneke J M
Kloppenburg, Margreet
McCaskie, Andrew
Ntzani, Evangelia E
Ollier, William E R
Oreiro, Natividad
Panoutsopoulou, Kalliope
Ralston, Stuart H
Ramos, Yolande F
Riancho, Jose A
Rivadeneira, Fernando
Slagboom, P Eline
Styrkarsdottir, Unnur
Thorsteinsdottir, Unnur
Thorleifsson, Gudmar
Tsezou, Aspasia
Uitterlinden, André G
Wallis, Gillian A
Wilkinson, J Mark
Zhai, Guangju
Zhu, Yanyan
Felson, David T
Ioannidis, John P A
Loughlin, John
Metspalu, Andres
Meulenbelt, Ingrid
Stefansson, Kari
van Meurs, Joyce B
Zeggini, Eleftheria
Spector, Timothy D
Gonzalez, Antonio
Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies
title Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies
title_full Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies
title_fullStr Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies
title_full_unstemmed Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies
title_short Assessment of Osteoarthritis Candidate Genes in a Meta-Analysis of Nine Genome-Wide Association Studies
title_sort assessment of osteoarthritis candidate genes in a meta-analysis of nine genome-wide association studies
topic Osteoarthritis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660891/
https://www.ncbi.nlm.nih.gov/pubmed/24757145
http://dx.doi.org/10.1002/art.38300
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