Centrality analysis of protein-protein interaction networks reveals shared genes between type 1 diabetes and multiple sclerosis

Type 1 diabetes (T1D) and multiple sclerosis (MS) are considered as organ-specific autoimmune diseases in children and young adults [1]. The co-occurrence of T1D and MS has been represented by the number of studies [2]. Despite the reported association of T1D and MS, the identification of common genes remains a challenge. Nowadays, predictive performance of gene expression signatures has been improved by integrating interactome data. Protein–protein interactions (PPI) at the whole genome level, interactome, are an important source to achieve more information about the cellular function [3]. Here, we integrated transcriptome-interactome data to construct PPI networks in T1D and MS. These PPI were undergone comprehensive centrality analysis and common high central genes were identified.