PMID- 36061131
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220907
IS  - 2008-2835 (Print)
IS  - 2008-4625 (Electronic)
IS  - 2008-2835 (Linking)
VI  - 14
IP  - 3
DP  - 2022 Jul-Sep
TI  - Prioritizing Candidate Genes for Type 2 Diabetes Mellitus using Integrated 
      Network and Pathway Analysis.
PG  - 239-246
LID - 10.18502/ajmb.v14i3.9831 [doi]
AB  - BACKGROUND: Type 2 Diabetes Mellitus (T2DM) has emerged as a major threat to 
      global health that fosters life-threatening clinical complications, taking a huge 
      toll on our society. More than 65 million Indians suffer from T2DM, making it one 
      of the leading causes of death. T2DM and associated complications have to be 
      constantly monitored and managed which reduces the overall quality of life and 
      increases socioeconomic burden. Therefore, it is crucial to develop specific 
      treatment and management strategies. In order to achieve this, it is essential to 
      understand the underlying genetic causes and molecular mechanisms. METHODS: 
      Integrated gene network and ontology analyses facilitate prioritization of 
      plausible candidate genes for T2DM and also aid in understanding their 
      mechanistic pathways. In this study, T2DM-associated genes were subjected to 
      sequential interaction network and gene set enrichment analysis. High ranking 
      network clusters were derived and their interrelation with pathways was assessed. 
      RESULTS: About 23 significant candidate genes were prioritized from 615 
      T2DM-associated genes which were overrepresented in pathways related to insulin 
      resistance, type 2 diabetes, signaling cascades such as insulin receptor 
      signaling pathway, PI3K signaling, IGFR signaling pathway, ERBB signaling 
      pathway, MAPK signaling pathway and their regulatory mechanisms. CONCLUSION: Of 
      these, two tyrosine kinase receptor genes-EGFR and IGF1R were identified as 
      common nodes and can be considered to be significant candidate genes in T2DM.
CI  - Copyright(c) 2022 Avicenna Research Institute.
FAU - Prakash, Tejaswini
AU  - Prakash T
AD  - Genetics and Genomics Lab, Department of Studies in Genetics and Genomics, 
      University of Mysore, Manasagangothri, Mysuru - 570 006, Karnataka, India.
FAU - Ramachandra, Nallur B
AU  - Ramachandra NB
AD  - Genetics and Genomics Lab, Department of Studies in Genetics and Genomics, 
      University of Mysore, Manasagangothri, Mysuru - 570 006, Karnataka, India.
LA  - eng
PT  - Journal Article
PL  - Iran
TA  - Avicenna J Med Biotechnol
JT  - Avicenna journal of medical biotechnology
JID - 101511065
PMC - PMC9376990
OTO - NOTNLM
OT  - Gene ontology
OT  - Hub genes identification
OT  - In silico analysis
OT  - Text mining
OT  - Type 2 diabetes mellitus
COIS- Conflict of Interest The authors declare no competing financial interests.
EDAT- 2022/09/06 06:00
MHDA- 2022/09/06 06:01
PMCR- 2022/07/01
CRDT- 2022/09/05 04:04
PHST- 2021/11/20 00:00 [received]
PHST- 2022/04/25 00:00 [accepted]
PHST- 2022/09/05 04:04 [entrez]
PHST- 2022/09/06 06:00 [pubmed]
PHST- 2022/09/06 06:01 [medline]
PHST- 2022/07/01 00:00 [pmc-release]
AID - AJMB-14-239 [pii]
AID - 10.18502/ajmb.v14i3.9831 [doi]
PST - ppublish
SO  - Avicenna J Med Biotechnol. 2022 Jul-Sep;14(3):239-246. doi: 
      10.18502/ajmb.v14i3.9831.