. . . . . . . . . . . . "[A DNA bank of patients with gynecologic oncology, patients with breast cancer (n = 335), and healthy women (n = 530) was created, and the following single-nucleotide polymorphisms were examined: CYP1A1 M1 polymorphism, that is, T264-C transition in the 30-noncoding region; CYP1A2*1F polymorphism, that is, C734-A transversion in the CYP1A2 gene; C-T transition (Arg264Cys) in exon 7 of CYP19; and SULT1A1*2 polymorphism, that is, G638-A transition (Arg213His) in the SULT1A1 gene.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2014-02-25"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2014-10-02T12:37:59+02:00"^^ . . . . . . . . . . . "v2.1.0.0" . "v2.1.0" .