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. 2016 Sep 19;45(Database issue):D972–D978. doi: 10.1093/nar/gkw838

Figure 4.

Figure 4.

CTD's new dataset generates novel inferences between GO terms and diseases. (A) Every GO term has its own page in CTD, and GO terms can be inferred to diseases based upon shared genes. Data integration via shared genes (here, genes IL4 and TNF, green box) allows the GO biological process (GO-BP) term ‘positive regulation of mononuclear cell migration’ (orange oval) to be inferred to the disease cardiomyopathies (red circle). (B) An example of how users can leverage this information. Two diseases (cardiomyopathies and contact dermatitis) initially appear to be unrelated because they share no genes; however, when instead viewed using inferred GO-BP terms, the two diseases overlap significantly with 583 inferred GO-BP terms (P = 4.72 × 10-201, Fisher's exact test), suggesting potential molecular underpinnings common between the two pathologies. This discovery can have implications for recognizing co-morbidities (especially for exposure science), identifying avenues to reposition therapeutic drugs or creating alerts to potentially new side effects. CTD's files for ‘GO-Disease-Gene Inference Networks’ (as well as all CTD curated content) are freely available from our ‘Data Downloads’ page (http://ctdbase.org/downloads/).