Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/nanopublications.trig#NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance>. }
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- source_evidence_literature type ECO_0000212 NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_assertion description "[The model contained 13 single-nucleotide polymorphisms (from genes AGTR1, ALOX15, INSR, PRKAB1, IL1R2, ESR2, KCNK1, FBLN5, PPARA, VEGFA, PON1, TDRD6, PLA2G7, and 1 ancestry informative marker) and 5 clinical variables (sex, age, weight, smoking, and diabetes mellitus) and achieved 85% predictive accuracy, as measured by area under the receiver operating characteristic curve.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_assertion evidence source_evidence_literature NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_assertion SIO_000772 19948975 NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_assertion wasDerivedFrom befree-20140225 NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_assertion wasGeneratedBy ECO_0000203 NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.
- befree-20140225 importedOn "2014-02-25" NP194496.RAucPOykL9Uve5WjpDAxxhuGYCfyq89yLWX8ukJ8f_Ds4130_provenance.