Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance>. }
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- source_evidence_literature type ECO_0000212 NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_assertion description "[The rs10994336 ANK3 and rs1006737 CACNA1C genetic variants have recently been identified as the most consistent, genome-wide significant risk factors for bipolar disorder, while the CACNA1C variant has also been associated with schizophrenia and major depression.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_assertion evidence source_evidence_literature NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_assertion SIO_000772 21676128 NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_assertion wasDerivedFrom befree-2016 NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_assertion wasGeneratedBy ECO_0000203 NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.
- befree-2016 importedOn "2016-02-19" NP902260.RA1EvBJXllfM6VYc4HLF1rfqYT9VMd5HX34V7lMe3J_Hg130_provenance.