Network-Based Association Study of Obesity and Type 2 Diabetes with Gene Expression Profiles

Figure 1

The identification of active modules and subclusters in human obesity and T2D. In the workflow, the disease genes of obesity and T2D were obtained from OMIM, and the interacting neighbors were collected from HPRD, KEGG, and TRANSFAC to construct a gene network of obesity and T2D (NOT2D). Multiple differential expression datasets in case/control design for obesity or T2D were integrated with the NOT2D network using jActiveModules method in order to identify the active modules and clusters. And finally a network association study of obesity and T2D was performed based on these active modules and clusters.