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OJBTM
Online Journal of Bioinformatics ©
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
ABSTRACT
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.
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