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Nucleic Acids Res. 2016 Jan 4;44(D1):D1036-44. doi: 10.1093/nar/gkv1165. Epub 2015 Nov 3.

DGIdb 2.0: mining clinically relevant drug-gene interactions.

Author information

1
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
2
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
3
Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
4
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
5
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA mgriffit@genome.wustl.edu.
6
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA ogriffit@genome.wustl.edu.

Abstract

The Drug-Gene Interaction Database (DGIdb, www.dgidb.org) is a web resource that consolidates disparate data sources describing drug-gene interactions and gene druggability. It provides an intuitive graphical user interface and a documented application programming interface (API) for querying these data. DGIdb was assembled through an extensive manual curation effort, reflecting the combined information of twenty-seven sources. For DGIdb 2.0, substantial updates have been made to increase content and improve its usefulness as a resource for mining clinically actionable drug targets. Specifically, nine new sources of drug-gene interactions have been added, including seven resources specifically focused on interactions linked to clinical trials. These additions have more than doubled the overall count of drug-gene interactions. The total number of druggable gene claims has also increased by 30%. Importantly, a majority of the unrestricted, publicly-accessible sources used in DGIdb are now automatically updated on a weekly basis, providing the most current information for these sources. Finally, a new web view and API have been developed to allow searching for interactions by drug identifiers to complement existing gene-based search functionality. With these updates, DGIdb represents a comprehensive and user friendly tool for mining the druggable genome for precision medicine hypothesis generation.

PMID:
26531824
PMCID:
PMC4702839
DOI:
10.1093/nar/gkv1165
[Indexed for MEDLINE]
Free PMC Article

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