• Assessment of osteoarthritis candidate genes in a meta-analysis of nine genome-wide association studies 

      Rodríguez-Fontenla, Cristina; Calaza, Manuel; Evangelou, Evangelos; Valdés, Ana M.; Arden, Nigel; Blanco García, Francisco J; Carr, Andrew; Chapman, Kay; Deloukas, Panos; Doherty, Michael; Esko, Tonu; Garcés Aletá, Carlos M.; Gómez-Reino Carnota, Juan J.; Helgadottir, Hafids; Hofman, Albert; Jonsdottir, Ingilef; Kerkhof, Henneke J.M.; Kloppenburg, Margreet; McCaskie, Andrew; Ntzani, Evangelia E.; Ollier, William E.R.; Oreiro, Natividad; Panoutsopoulo, Kalliope; Ralston, Stuart H.; Ramos, Yolande F. M.; Riancho, José A.; Rivadeneira, Fernando; Slagboom, Eline; Styrkarsdottir, Unnur; Thorsteindottir, Unnur; Thorleifsson, Gudmar; Tsezou, Aspasia; Uitterlinden, André G.; Wallis, Gillian A.; Wilkinson, J. Mark; Zhai, 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.; González, Antonio (Wiley, 2013-12-10)
      [Abstract] 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 ...