A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions

Jörg Hakenberg, Dmitry Voronov, Võ Hà Nguyên, Shanshan Liang, Saadat Anwar, Barry Lumpkin, Robert Leaman, Luis Tari, Chitta Baral

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

Motivation: Genetic factors determine differences in pharmacokinetics, drug efficacy, and drug responses between individuals and sub-populations. Wrong dosages of drugs can lead to severe adverse drug reactions in individuals whose drug metabolism drastically differs from the " assumed average" Databases such as PharmGKB are excellent sources of pharmacogenetic information on enzymes, genetic variants, and drug response affected by changes in enzymatic activity. Here, we seek to aid researchers, database curators, and clinicians in their search for relevant information by automatically extracting these data from literature. Approach: We automatically populate a repository of information on genetic variants, relations to drugs, occurrence in sub-populations, and associations with disease. We mine textual data from PubMed abstracts to discover such genotype-phenotype associations, focusing on SNPs that can be associated with variations in drug response. The overall repository covers relations found between genes, variants, alleles, drugs, diseases, adverse drug reactions, populations, and allele frequencies. We cross-reference these data to EntrezGene, PharmGKB, PubChem, and others. Results: The performance regarding entity recognition and relation extraction yields a precision of 90-92% for the major entity types (gene, drug, disease), and 76-84% for relations involving these types. Comparison of our repository to PharmGKB reveals a coverage of 93% of gene-drug associations in PharmGKB and 97% of the gene-variant mappings based on 180,000 PubMed abstracts. Availability: http://bioai4core.fulton.asu.edu/snpshot.

Original languageEnglish (US)
Pages (from-to)842-850
Number of pages9
JournalJournal of Biomedical Informatics
Volume45
Issue number5
DOIs
StatePublished - Oct 1 2012

Keywords

  • Databases
  • Information extraction
  • Pharmacogenomics
  • Text mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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    Hakenberg, J., Voronov, D., Nguyên, V. H., Liang, S., Anwar, S., Lumpkin, B., Leaman, R., Tari, L., & Baral, C. (2012). A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions. Journal of Biomedical Informatics, 45(5), 842-850. https://doi.org/10.1016/j.jbi.2012.04.006