Figure 6.

Use case 2: surveying 3 diseases for bisphenol A exposure. Three tetramer datasets were independently generated using the CTD Tetramers tool for bisphenol A (BPA) and the metabolic diseases obesity, T2D, and hypertension. The relationships between the resulting (A) 447 genes, (B) 554 phenotypes, and (C) 3612 gene-phenotype dimers were compared. Venn analysis can help develop schematic and hypothetical pathways as a starting point to explore and understand the commonality and uniqueness of potential mechanisms for each outcome. For example, the 18 genes, 261 phenotypes, and 286 gene-phenotype dimers shared by all 3 diseases might be hypothesized as representing common processes, while elements shared by 2 diseases might be involved in predisease events, and other unique mechanisms might potentially be more disease-driven processes.