Abstract

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.

Availability and implementation: Drug Targetor v1.21 is a web application freely available online at drugtargetor.com and under MIT license. The source code can be found at https://github.com/hagax8/drugtargetor.

Supplementary information: Supplementary data are available at Bioinformatics online.

Original languageEnglish
JournalBioinformatics (Oxford, England)
DOIs
Publication statusE-pub ahead of print - 4 Dec 2018

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