Identification of possible pathogenic pathways in Behçet’s disease using genome-wide association study data from two different populations View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-05

AUTHORS

Burcu Bakir-Gungor, Elaine F Remmers, Akira Meguro, Nobuhisa Mizuki, Daniel L Kastner, Ahmet Gul, Osman U Sezerman

ABSTRACT

Behçet's disease (BD) is a multi-system inflammatory disorder of unknown etiology. Two recent genome-wide association studies (GWASs) of BD confirmed a strong association with the MHC class I region and identified two non-HLA common genetic variations. In complex diseases, multiple factors may target different sets of genes in the same pathway and thus may cause the same disease phenotype. We therefore hypothesized that identification of disease-associated pathways is critical to elucidate mechanisms underlying BD, and those pathways may be conserved within and across populations. To identify the disease-associated pathways, we developed a novel methodology that combines nominally significant evidence of genetic association with current knowledge of biochemical pathways, protein-protein interaction networks, and functional information of selected SNPs. Using this methodology, we searched for the disease-related pathways in two BD GWASs in Turkish and Japanese case-control groups. We found that 6 of the top 10 identified pathways in both populations were overlapping, even though there were few significantly conserved SNPs/genes within and between populations. The probability of random occurrence of such an event was 2.24E-39. These shared pathways were focal adhesion, MAPK signaling, TGF-β signaling, ECM-receptor interaction, complement and coagulation cascades, and proteasome pathways. Even though each individual has a unique combination of factors involved in their disease development, the targeted pathways are expected to be mostly the same. Hence, the identification of shared pathways between the Turkish and the Japanese patients using GWAS data may help further elucidate the inflammatory mechanisms in BD pathogenesis. More... »

PAGES

678-687

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ejhg.2014.158

    DOI

    http://dx.doi.org/10.1038/ejhg.2014.158

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1036372096

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25227143


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