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OJBTM
Online Journal of
Bioinformatics©
Established 1995
ISSN 1443-2250
Volume 23 (2):162-178,
2022.
Characterization
of mouse insulin by gene network modules.
Zeeshan Arif and CK Verma
Department
of Mathematics, Computer Applications and Bioinformatics, Maulana
Azad National Institute of Technology, Bhopal, India.
ABSTRACT
Arif Z, Verma CK., Characterization
of mouse insulin by gene network modules, Onl J Bioinform., 23 (2):162-178, 2022. Incidence
of diabetes is related with obesity, and increased plasma free fatty acids
(FFA) and insulin. Genetics
of human obesity, insulin resistance and T2DM are multigenic. Obese individuals with
impaired glucose tolerance suffer marked peripheral insulin resistance and
loss of beta-cells. We describe mouse gene network integrating
clinical traits, genetic markers and expression data modules for insulin. We
applied WGCNA (an R package) for weighted gene co-expression network analysis
to determine relationship between gene expression, body insulin and weight.
Keywords: Diabetes (T2DM), Obesity, Impaired Glucose
Tolerance, Modules, Intramodular connectivity.
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