TY - JOUR
T1 - Linking PharmGKB to phenotype studies and animal models of disease for drug repurposing
AU - Hoehndorf, Robert
AU - Oellrich, Anika
AU - Rebholz-Schuhmann, Dietrich
AU - Schofield, Paul N.
AU - Gkoutos, Georgios
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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 ($p
AB - The investigation of phenotypes in model organisms has the potential to reveal the molecular mechanisms underlying disease. The large-scale comparative analysis of phenotypes across species can reveal novel associations between genotypes and diseases. We use the PhenomeNET network of phenotypic similarity to suggest genotype--disease association, combine them with drug--gene associations available from the PharmGKB database, and infer novel associations between drugs and diseases. We evaluate and quantify our results based on our method's capability to reproduce known drug--disease associations. We find and discuss evidence that levonorgestrel, tretinoin and estradiol are associated with cystic fibrosis ($p
UR - http://hdl.handle.net/2160/11161
UR - http://www.ncbi.nlm.nih.gov/pubmed/22174294
M3 - Article
SN - 2335-6939
SP - 388
EP - 399
JO - Pacific Symposium on Biocomputing (PSB)
JF - Pacific Symposium on Biocomputing (PSB)
ER -