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 Online Journal of Bioinformatics  

  Volume 16 (1): 18-28, 2015.

Characterization of mouse body insulin genes with genetic network systems


Zeeshan Arif1 and C.K. Verma1


1Department of Mathematics, Computer Applications and Bioinformatics, Maulana Azad National Institute of Technology, Bhopal, India



Zeeshan A, VermaCK., Characterization of mouse body insulin genes using genetic network systems, Onl J Bioinform., 16 (1): 18-28, 2015. Genetic resemblance between mouse and human makes the mouse a useful mammalian model system to study obesity and diabetes. A gene network integrating clinical traits, genetic marker and gene expression data is described. Instead of concentrating on individual genes, a systems level view of a module of genes related to body insulin is used. The model allows characterization of insulin related genes utilizing an intra-modular connectivity network with genetic concepts. A WGCNA R package for performing weighted gene co-expression network analysis was used and provides an integrative genomics method for novel insights of the relationship between gene expression, body insulin and weight.


Keywords: Diabetes (T2DM), Obesity, Impaired Glucose Tolerance, Modules, Intramodular connectivity.