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- source_evidence_literature type ECO_0000212 NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_assertion description "[We observe a significant boost in the power to detect validated candidate genes for Crohn's disease and type 2 diabetes by comparing our predictions to results from follow-up meta-analyses, with incorporation of the network serving to highlight the JAK-STAT pathway and associated adaptors GRB2/SHC1 in Crohn's disease and BACH2 in type 2 diabetes.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_assertion evidence source_evidence_literature NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_assertion SIO_000772 21536720 NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_assertion wasDerivedFrom befree-2016 NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_assertion wasGeneratedBy ECO_0000203 NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.
- befree-2016 importedOn "2016-02-19" NP891135.RALHGKe-lJDJJ71a6sXqfRo_31QP0tQeeqVTQ9U7NKIlk130_provenance.