. . . . . . . "[Our findings indicate that routine tumor genotyping is helpful in identifying low-frequency mutations, such as GNAS, that may correlate with a specific morphological phenotype and also reveal multiplicity of concurrent mutations in a significant proportion of CRC that may have significant implications for clinical trial design and personalized therapy.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2017-02-19"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2017-10-17T13:13:02+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .