Summary: Results from hundreds of genome-wide association studies (GWAS) are now freely available and offer a catalogue of the association between phenotypes across medicine with variants in the genome. With the aim of using this data to better understand therapeutic mechanisms, we have developed Drug Targetor, a web interface that allows the generation and exploration of drug-target networks of hundreds of phenotypes using GWAS data. Drug Targetor networks consist of drug and target nodes ordered by genetic association and connected by drug-target or drug-gene relationship. We show that Drug Targetor can help prioritize drugs, targets and drug-target interactions for a specific phenotype based on genetic evidence.
CITATION STYLE
Gaspar, H. A., Hübel, C., & Breen, G. (2019). Drug Targetor: A web interface to investigate the human druggome for over 500 phenotypes. Bioinformatics, 35(14), 2515–2517. https://doi.org/10.1093/bioinformatics/bty982
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