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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.