@prefix this: . @prefix sub: . @prefix rdfs: . @prefix xsd: . @prefix sio: . @prefix lld: . @prefix miriam-gene: . @prefix miriam-pubmed: . @prefix eco: . @prefix wi: . @prefix prov: . @prefix pav: . @prefix prv: . @prefix dcterms: . @prefix np: . @prefix dgn-gda: . @prefix dgn-void: . sub:head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:publicationInfo; a np:Nanopublication . } sub:assertion { dgn-gda:DGN0a18bd8a267217d91c6688f8e1cf8486 sio:SIO_000628 miriam-gene:2944, lld:C0007137; a sio:SIO_001122 . } sub:provenance { sub:assertion dcterms:description "[Data-mining methods are useful tools to map out a scheme for predicting complex relations and combinations of different genotypes. Genotyping analysis of GSTP1 together with assessment of smoking seems to be important in determining the risk of ESCC in th]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en; wi:evidence dgn-void:source_evidence_literature; sio:SIO_000772 miriam-pubmed:20409775; prov:wasDerivedFrom dgn-void:GAD; prov:wasGeneratedBy eco:ECO_0000203 . dgn-void:GAD pav:importedOn "2017-02-21"^^xsd:date . dgn-void:source_evidence_literature a eco:ECO_0000212; rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en; rdfs:label "DisGeNET evidence - LITERATURE"@en . } sub:publicationInfo { this: dcterms:created "2017-10-17T13:13:08+02:00"^^xsd:dateTime; dcterms:rights ; dcterms:rightsHolder dgn-void:IBIGroup; dcterms:subject sio:SIO_000983; prv:usedData dgn-void:disgenetv3.0rdf; pav:authoredBy , , , , ; pav:createdBy ; pav:version "v5.0.0.0" . dgn-void:disgenetv3.0rdf pav:version "v5.0.0" . }