sub:provenance {
  sub:assertion dcterms:description "[The aim of our study was to determine the frequency of CYP2D6 allelic variants and the prevalence of predicted CYP2D6 phenotypes in patients who were suffering from difficult-to-treat depression and compare the data with those for the healthy population of Hungary.55 patients who failed to respond to 2 or more adequate trials of different CYP2D6-dependent antidepressants were selected for genotyping.The prevalence of the predicted CYP2D6 phenotypes in the patient population was 1.8% for the UMs, 80.0% for EMs, 3.6% for IMs and 14.5% for PMs compared with 1.9% for UMs, 83.3% for EMs, 6.5% for IMs and 8.3% for PMs in the Hungarian population.The CYP2D6 allele frequencies and the predicted phenotype distributions in patients with difficult-to-treat depression were not significantly different to those found in the healthy population of Hungary.]. 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:23737191 ;
    prov:wasDerivedFrom dgn-void:PSYGENET ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:PSYGENET 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 .
}