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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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