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OJBTM

 Online Journal of Bioinformatics  

  Volume 15 (3): 231-242, 2014.


Characterization of mouse insulin gene through genetic and network approaches.

 

Zeeshan Arif1 and C.K. Verma1

 

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

 

ABSTRACT

 

Arif Z, Verma CK., Characterization of mouse insulin gene through genetic and network approaches, Onl J Bioinform., 15 (3): 231-242, 2014. The genetic resemblance between mice and humans makes the mouse a suitable mammalian model system for obesity and diabetes. A model for integrating clinical traits, genetic marker data 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 described. The resulting model allows one to characterize insulin related genes utilizing an intra-modular connectivity genetic network by using WGCNA (an R package) for performing weighted gene co-expression network analysis. This integrative genomics methodology provides new insights into the relationship between gene expression and body insulin or weight.

 

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


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