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Erap1 Polymorphisms Interactions and Their Association With Behcet's Disease Susceptibly: Application of Model-Based Multifactor Dimension Reduction Algorithm (Mb-Mdr) Publisher Pubmed



Riahi P1 ; Kazemnejad A1 ; Mostafaei S2 ; Meguro A3 ; Mizuki N3 ; Ashrafganjouei A4 ; Javinani A4 ; Faezi ST4 ; Shahram F4 ; Mahmoudi M4, 5
Authors
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Authors Affiliations
  1. 1. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
  2. 2. Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
  3. 3. Department of Ophthalmology and Visual Science, Yokohama City University, Graduate School of Medicine, Yokohama, Japan
  4. 4. Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Inflammation Research Center, Tehran University of Medical Sciences, Tehran, Iran

Source: PLoS ONE Published:2020


Abstract

Background Behcet'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). Methods We have included 748 BD patients and 776 healthy controls. A peripheral blood sample was collected, and eleven SNPs were assessed. Furthermore, we have applied the MB-MDR method to evaluate the interactions of ERAP1 gene polymorphisms. Results The TT genotype of rs1065407 had a synergistic effect on BD susceptibility, considering the significant main effect. In the second order of interactions, CC genotype of rs2287987 and GG genotype of rs1065407 had the most prominent synergistic effect (β = 12.74). The mentioned genotypes also had significant interactions with CC genotype of rs26653 and TT genotype of rs30187 in the third-order (β = 12.74 and β = 12.73, respectively). Conclusion To the best of our knowledge, this is the first study investigating the interaction of a particular gene's SNPs in BD patients by applying a novel data mining method. However, future studies investigating the interactions of various genes could clarify this issue. Copyright: © 2020 Riahi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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