Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer

Figure 2

Weighted correlation network analysis. (a) Soft threshold selection. (b) Identification of 8 gene modules with WGCNA. (c) Correlation heat map of modules and phenotypes, red represents positively correlated with the phenotype, and green represents negatively correlated with the phenotype. (d) GO analysis of genes included in the grey module. (e) Protein-protein interaction of genes included in the grey module. (f) Correlation between SLC24A2 and its related 10 hub genes, green indicates negative correlation, and yellow indicates positive correlation. GO: Gene Ontology.

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