Linking PharmGKB to phenotype studies and animal models of disease for drug repurposing

Robert Hoehndorf, Anika Oellrich, Dietrich Rebholz-Schuhmann, Paul N. Schofield, Georgios Gkoutos

Research output: Contribution to journalArticlepeer-review

18 Citations (SciVal)

Abstract

The investigation of phenotypes in model organisms has the potential to reveal the molecular mechanisms underlying disease. The large-scale comparative analysis of phenotypes across species can reveal novel associations between genotypes and diseases. We use the PhenomeNET network of phenotypic similarity to suggest genotype--disease association, combine them with drug--gene associations available from the PharmGKB database, and infer novel associations between drugs and diseases. We evaluate and quantify our results based on our method's capability to reproduce known drug--disease associations. We find and discuss evidence that levonorgestrel, tretinoin and estradiol are associated with cystic fibrosis ($p
Original languageEnglish
Pages (from-to)388-399
Number of pages12
JournalPacific Symposium on Biocomputing (PSB)
Publication statusPublished - 01 Jan 2012

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