. . . . . . . "[This pilot study showed that CYP1B1 and PR polymorphisms, alone or in combination, might be associated with prostate cancer risk. They might, therefore, have potential as a tool for identifying high-risk individuals.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2017-02-21"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2017-10-17T13:11:53+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .