Identification of a two-loci epistatic interaction associated with susceptibility to rheumatoid arthritis through reverse engineering and multifactor dimensionality reduction

Antonio Julià, Jason Moore, Laia Miquel, Cayetano Alegre, Pere Barceló, Marylyn Ritchie, Sara Marsal

    Producción científica: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

    29 Citas (Scopus)

    Resumen

    Altered synovial fibroblast (SF) transcriptional activity is a key factor in the disease progression of rheumatoid arthritis (RA). To determine the transcriptional regulatory network associated with SF response to an RA proinflammatory stimulus we applied a CARRIE reverse engineering approach to microarray gene expression data from SFs treated with RA synovial fluid. The association of the inferred gene network with RA susceptibility was further analyzed by a case-control study of promoter single-nucleotide polymorphisms, and the presence of epistatic interactions was determined using the multifactor dimensionality reduction methodology. Our findings suggest that a specific NF-κB transcriptional regulatory network of 13 genes is associated with SF response to RA proinflammatory stimulus and identify a significant epistatic association of two of its genes, IL6 and IL4I1, with RA susceptibility. © 2007 Elsevier Inc. All rights reserved.
    Idioma originalInglés
    Páginas (desde-hasta)6-13
    PublicaciónGenomics
    Volumen90
    N.º1
    DOI
    EstadoPublicada - 1 jul 2007

    Huella

    Profundice en los temas de investigación de 'Identification of a two-loci epistatic interaction associated with susceptibility to rheumatoid arthritis through reverse engineering and multifactor dimensionality reduction'. En conjunto forman una huella única.

    Citar esto