bioRxiv preprint doi: https://doi.org/10.1101/2021.08.12.456106; this version posted August 17, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Analysis of key genes and pathways associated with the pathogenesis of Type 2 diabetes mellitus Varun Alur1, Varshita Raju2, Basavaraj Vastrad3, Chanabasayya Vastrad*4, Shivakumar Kotturshetti4 1. Department of Endocrinology, J.J. M Medical College, Davanagere, Karnataka 577004, India. 2. Department of Obstetrics and Gynecology, J.J. M Medical College, Davanagere, Karnataka 577004, India. 3. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 4. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad
[email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.08.12.456106; this version posted August 17, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Type 2 diabetes mellitus (T2DM) is the most common endocrine disorder which poses a serious threat to human health. This investigation aimed to screen the candidate genes differentially expressed in T2DM by bioinformatics analysis. The expression profiling by high throughput sequencing of GSE81608 dataset was retrieved from the gene expression omnibus (GEO) database and analyzed to identify the differentially expressed genes (DEGs) between T2DM and normal controls. Then, Gene Ontology (GO) and pathway enrichment analysis, protein- protein interaction (PPI) network, modules, miRNA-hub gene regulatory network construction and TF-hub gene regulatory network construction, and topological analysis were performed.