Abstract

   In general, type 2 diabetes (T2D) usually occurs in middle-aged and
   elderly people. However, the incidence of childhood-onset T2D has
   increased all across the globe. Therefore, it is very important to
   determine the molecular and genetic mechanisms of childhood-onset T2D.
   In this study, the dataset [38]GSE9006 was downloaded from the GEO
   (Gene Expression Omnibus database); it includes 24 healthy children, 43
   children with newly diagnosed Type 1 diabetes (T1D), and 12 children
   with newly diagnosed T2D. These data were used for differentially
   expressed genes (DGEs) analysis and weighted co-expression network
   analysis (WGCNA). We identified 192 up-regulated genes and 329
   down-regulated genes by performing DEGs analysis. By performing WGGNA,
   we found that blue module (539 genes) was highly correlated to cyan
   module (97 genes). Gene ontology (GO) and pathway enrichment analyses
   were performed to figure out the functions and related pathways of
   genes, which were identified in the results of DEGs and WGCNA. Genes
   with conspicuous logFC and in the high correlated modules were input
   into GeneMANIA, which is a plugin of Cytoscape application. Thus, we
   constructed the protein-protein interaction (PPI) network (92 nodes and
   254 pairs). Eventually, we analyzed the transcription factors and
   references related to genes with conspicuous logFC or high-degree