Iran. J. Biotechnol. January 2021;19(1): e2630 DOI: 10.30498/IJB.2021.2630 Research Article Co-expression Network Analysis Reveals Key Genes Related to Ankylosing spondylitis Arthritis Disease: Computational and Experimental Validation Leila Najafzadeh1, Mahdi Mahmoudi2, Mostafa Ebadi1, Marzieh Dehghan Shasaltaneh3, Ali Masoudinejad4 1 Department of Biology, College of Science, Damghan Branch, Islamic Azad University, Damghan, Iran 2 Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran 3 Department of Biology, Faculty of Sciences, University of Zanjan, Zanjan, Iran 4 Laboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran *Corresponding author: Mahdi Mahmoud, Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran. Tel /Fax : +98-2166969256, E-mail:
[email protected] *Co-Corresponding Author: Ali Masoudinejad, Laboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. Tel: +98-2188993803, Fax: +98-2166404680, E-mail:
[email protected] Background: Ankylosing spondylitis (AS) is a type of arthritis which can cause inflammation in the vertebrae and joints between the spine and pelvis. However, our understanding of the exact genetic mechanisms of AS is still far from being clear. Objective: To study and find the mechanisms and possible biomarkers related to AS by surveying inter-gene correlations of networks. Materials and Methods: A weighted gene co-expression network was constructed among genes identified by microarray analysis, gene co-expression network analysis, and network clustering. Then receiver operating characteristic (ROC) curves were conducted to identify a significant module with the genes implicated in the AS pathogenesis.