Assessment of Osteoarthritis Candidate Genes in a Meta‐Analysis of Nine Genome‐Wide Association Studies. Issue 4 (April 2014)
- Record Type:
- Journal Article
- Title:
- Assessment of Osteoarthritis Candidate Genes in a Meta‐Analysis of Nine Genome‐Wide Association Studies. Issue 4 (April 2014)
- Main Title:
- Assessment of Osteoarthritis Candidate Genes in a Meta‐Analysis of Nine Genome‐Wide Association Studies
- Authors:
- 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, Joyce B.
Zeggini, Eleftheria
Spector, Timothy D.
Gonzalez, Antonio
… (more) - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="art38300-sec-0001" sec-type="section"> <title>Objective</title> <p>To assess candidate genes for association with osteoarthritis (OA) and identify promising genetic factors and, secondarily, to assess the candidate gene approach in OA.</p> </sec> <sec id="art38300-sec-0002" sec-type="section"> <title>Methods</title> <p>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 &gt;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, <italic>P</italic> values less than 1.58 × 10<sup>−5</sup> were considered significant.</p> </sec> <sec id="art38300-sec-0003" sec-type="section"> <title>Results</title> <p>SNPs at only 2 of the 199 candidate genes (<italic>COL11A1</italic> and <italic>VEGF</italic>) were associated with OA in the meta‐analysis. Two SNPs in <italic>COL11A1</italic> showed association with hip OA in the combined analysis: rs4907986 (<italic>P</italic> = 1.29 × 10<sup>−5</sup>, odds<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="art38300-sec-0001" sec-type="section"> <title>Objective</title> <p>To assess candidate genes for association with osteoarthritis (OA) and identify promising genetic factors and, secondarily, to assess the candidate gene approach in OA.</p> </sec> <sec id="art38300-sec-0002" sec-type="section"> <title>Methods</title> <p>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 &gt;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, <italic>P</italic> values less than 1.58 × 10<sup>−5</sup> were considered significant.</p> </sec> <sec id="art38300-sec-0003" sec-type="section"> <title>Results</title> <p>SNPs at only 2 of the 199 candidate genes (<italic>COL11A1</italic> and <italic>VEGF</italic>) were associated with OA in the meta‐analysis. Two SNPs in <italic>COL11A1</italic> showed association with hip OA in the combined analysis: rs4907986 (<italic>P</italic> = 1.29 × 10<sup>−5</sup>, odds ratio [OR] 1.12, 95% confidence interval [95% CI] 1.06−1.17) and rs1241164 (<italic>P</italic> = 1.47 × 10<sup>−5</sup>, OR 0.82, 95% CI 0.74−0.89). The sex‐stratified analysis also showed association of <italic>COL11A1</italic> SNP rs4908291 in women (<italic>P</italic> = 1.29 × 10<sup>−5</sup>, OR 0.87, 95% CI 0.82−0.92); this SNP showed linkage disequilibrium with rs4907986. A single SNP of <italic>VEGF</italic>, rs833058, showed association with hip OA in men (<italic>P</italic> = 1.35 × 10<sup>−5</sup>, OR 0.85, 95% CI 0.79−0.91). After additional samples were genotyped, association at one of the <italic>COL11A1</italic> signals was reinforced, whereas association at <italic>VEGF</italic> was slightly weakened.</p> </sec> <sec id="art38300-sec-0004" sec-type="section"> <title>Conclusion</title> <p>Two candidate genes, <italic>COL11A1</italic> and <italic>VEGF</italic>, were significantly associated with OA in this focused meta‐analysis. The remaining candidate genes were not associated.</p> </sec> </abstract> … (more)
- Is Part Of:
- Arthritis & rheumatology. Volume 66:Issue 4(2014)
- Journal:
- Arthritis & rheumatology
- Issue:
- Volume 66:Issue 4(2014)
- Issue Display:
- Volume 66, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 66
- Issue:
- 4
- Issue Sort Value:
- 2014-0066-0004-0000
- Page Start:
- 940
- Page End:
- 949
- Publication Date:
- 2014-04
- Subjects:
- Arthritis -- Periodicals
Rheumatism -- Periodicals
616.72 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2326-5205 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/art.38300 ↗
- Languages:
- English
- ISSNs:
- 2326-5191
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1733.820000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3908.xml