sub:provenance {
sub:assertion dcterms:description "[Using SNP- and gene-based analysis methods, we replicated previously reported SNP-type 2 diabetes associations in PPARG, KCNJ11, and SLC2A2; identified significant SNPs in genes with previously reported associations (ENPP1 [rs2021966, P = 0.00026] and NRF1 [rs1882095, P = 0.00096]); and implicated novel genes, including RAPGEF1 (rs4740283, P = 0.00013) and TP53 (rs1042522, Arg72Pro, P = 0.00086), in type 2 diabetes susceptibility.]. 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:18678618 ;
prov:wasDerivedFrom dgn-void:BEFREE ;
prov:wasGeneratedBy eco:ECO_0000203 .
dgn-void:BEFREE pav:importedOn "2017-02-19"^^
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 .
}