Global Text Mining and Development of Pharmacogenomic Knowledge Resource for Precision Medicine.

ABSTRACT: Understanding patients' genomic variations and their effect in protecting or predisposing them to drug response phenotypes is important for providing personalized healthcare. Several studies have manually curated such genotype-phenotype relationships into organized databases from clinical trial data or published literature. However, there are no text mining tools available to extract high-accuracy information from such existing knowledge. In this work, we used a semiautomated text mining approach to retrieve a complete pharmacogenomic (PGx) resource integrating disease-drug-gene-polymorphism relationships to derive a global perspective for ease in therapeutic approaches. We used an R package, pubmed.mineR, to automatically retrieve PGx-related literature. We identified 1,753 disease types,

SUBMITTER: Guin D 

PROVIDER: S-EPMC6692532 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature