. . . . . . . "[Based upon these results, we propose that miR-2909 RNomics may be a step forward in understanding human CHD at the epigenomic level and can be exploited for designing new therapeutic strategies as well as diagnostic and prognostic markers for this disease in future.]. 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 . "2017-10-17T13:19:28+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .