ERAP1 polymorphisms interactions and their association with Behçet's disease susceptibly: Application of Model-Based Multifactor Dimension Reduction Algorithm (MB-MDR).

Journal: PloS one
PMID: 32023277

Abstract

BACKGROUND: Behçet's disease (BD) is a chronic multi-systemic vasculitis with a considerable prevalence in Asian countries. There are many genes associated with a higher risk of developing BD, one of which is endoplasmic reticulum aminopeptidase-1 (ERAP1). In this study, we aimed to investigate the interactions of ERAP1 single nucleotide polymorphisms (SNPs) using a novel data mining method called Model-based multifactor dimensionality reduction (MB-MDR).

Authors

  • Parisa Riahi
    Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
  • Anoshirvan Kazemnejad
    Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. kazem_an@modares.ac.ir.
  • Shayan Mostafaei
    Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
  • Akira Meguro
    Department of Ophthalmology and Visual Science, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
  • Nobuhisa Mizuki
    Department of Ophthalmology and Visual Science, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
  • Amir Ashraf-Ganjouei
    Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Ali Javinani
    Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Seyedeh Tahereh Faezi
    Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Farhad Shahram
    Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Mahdi Mahmoudi
    Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Keywords

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