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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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