In April 2016 Manchester eScholar was replaced by the University of Manchester’s new Research Information Management System, Pure. In the autumn the University’s research outputs will be available to search and browse via a new Research Portal. Until then the University’s full publication record can be accessed via a temporary portal and the old eScholar content is available to search and browse via this archive.

Related resources

Full-text held externally

University researcher(s)

Assessment of osteoarthritis candidate genes in a meta-analysis of 9 genome-wide association studies.

Rodriguez-Fontenla, Cristina; Calaza, Manuel; Esko, Tõnu; Garces, Carlos M; Gomez-Reino, Juan J; Helgadottir, Hafdis; Hofman, Albert; Jonsdottir, Ingileif; Kerkhof, Hanneke J M; Kloppenburg, Margreet; McCaskie, Andrew; Ntzani, Evangelia E; Evangelou, Evangelos; 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; Valdes, Ana M; Thorleifsson, Gudmar; Tsezou, Aspasia; Uitterlinden, André G; Wallis, Gillian A; Wilkinson, J Mark; Zhai, Guangju; Zhu, Yanyan; arcOGEN_Consortium; Felson, David T; Ioannidis, John P A; Arden, Nigel; Loughlin, John; Metspalu, Andres; Meulenbelt, Ingrid; Stefansson, Kari; van Meurs, Joyce B; Zeggini, Eleftheria; Spector, Timothy D; Gonzalez, Antonio; Blanco, Francisco J; Carr, Andrew; Chapman, Kay; Deloukas, Panos; Doherty, Michael

Arthritis and rheumatism. 2014;66(4):940-949.

Access to files

Full-text and supplementary files are not available from Manchester eScholar. Full-text is available externally using the following links:

Full-text held externally

Abstract

Objectives: To assess osteoarthritis (OA) candidate genes for identification of promising genetic factors and, secondarily, to assess the candidate gene approach in OA. Methods: 199 published candidate genes for OA were obtained from the HuGe Navigator. All their SNPs with allele frequency >5% were assessed with fixed effect meta-analysis of 9 genome-wide association studies (GWAS) including 5 636 knee OA patients and 16 972 controls, and 4 349 hip OA patients and 17 836 controls of European ancestry. Additional 5 921 individuals were studied for top SNPs in the meta-analysis. Significance was corrected for the number of independent tests at p < 1.58 x 10(-5) . Results: SNPs at only two of the 199 candidate genes were associated with OA in the meta-analysis. They were associated with hip OA, COL11A1 showing two independent associations in the combined analysis (rs4907986, p = 1.29 x 10(-5) , OR = 1.12; 95 % CI = 1.06-1.17; and rs1241164, p = 1.47 x 10(-5) , OR = 0.82, CI = 0.74-0.89) and a SNP in linkage disequilibrium with rs4907986 in the female-specific analysis (rs4908291, p = 1.29 x 10(-5) , OR = 0.87, CI = 0.82-0.92), and VEGF associated in male-specific analysis (rs833058, p = 1.35 x 10(-5) , OR = 0.85, CI = 0.79-0.91). After genotyping additional samples, association at one of the COL11A1 signals was reinforced, whereas association at VEGF was slightly weakened. Conclusion: Two candidate genes were significantly associated with OA in this focused meta-analysis COL11A1 and VEGF. The remaining candidate genes were not associated. © 2013 American College of Rheumatology.

Bibliographic metadata

Type of resource:
Content type:
Publication status:
Published
Publication type:
Publication form:
Published date:
Journal title:
Abbreviated journal title:
ISSN:
Volume:
66
Issue:
4
Start page:
940
End page:
949
Total:
9
Pagination:
940-949
Digital Object Identifier:
10.1002/art.38300
Pubmed Identifier:
24338622
Attached files embargo period:
Immediate release
Attached files release date:
7th May, 2014
Access state:
Active

Institutional metadata

University researcher(s):
Academic department(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:224862
Created by:
Ingram, Mary
Created:
7th May, 2014, 13:50:44
Last modified by:
Ingram, Mary
Last modified:
7th May, 2014, 14:20:49

Can we help?

The library chat service will be available from 11am-3pm Monday to Friday (excluding Bank Holidays). You can also email your enquiry to us.