©1996-2015. All Rights Reserved. Online Journal
of Bioinformatics . You
may not store these pages in any form except for your own personal use. All other
usage or distribution is illegal under international copyright treaties.
Permission to use any of these pages in any other way besides the before mentioned must
be gained in writing from the publisher. This article is exclusively
copyrighted in its entirety to OJB publications. This article may be copied
once but may not be, reproduced or re-transmitted
without the express permission of the editors. This
journal satisfies the refereeing requirements (DEST) for the Higher Education
Research Data Collection (Australia). Linking: To link to this
page or any pages linking to this page you must link directly to this page only
here rather than put up your own page.
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.