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Published on: December 22, 2017
ERGR: An ethanol-related gene resource.
An-Yuan Guo1, Bradley T Webb, Michael F Miles
1Department of Psychiatry and Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA.
Researchers developed ERGR, a comprehensive ethanol-related gene resource, to consolidate data on alcohol abuse and dependence. This accessible database aids researchers studying ethanol
Area of Science:
- Genomics
- Bioinformatics
- Neuroscience
Background:
- Significant advancements in understanding ethanol-related traits, including alcohol abuse and dependence, have been achieved.
- Research spans both human studies and animal models, generating vast amounts of complex data.
Purpose of the Study:
- To create a centralized, curated, and integrated resource for ethanol-related gene information.
- To enhance accessibility and interpretability of research findings for the scientific community.
Main Methods:
- Collected and curated over 30 large-scale datasets (linkage, association, gene expression) from scientific literature.
- Integrated 21 mouse quantitative trait loci (QTLs) from public databases.
- Developed a comprehensive database (ERGR) covering approximately 7000 genes across five organisms.
Main Results:
- ERGR currently houses ethanol-related gene information for human, mouse, rat, fly, and worm.
- The resource provides gene annotations, orthologs, detailed study information (gene expression fold changes, P-values), and search functionalities.
- Includes data integration tools for union, intersection, and candidate gene selection across multiple datasets and organisms.
Conclusions:
- ERGR offers a user-friendly web interface for browsing and searching ethanol-related genetic data at multiple levels.
- The database is continuously updated with new data and functionalities, supporting ongoing research into ethanol-related traits.
- Freely available at http://bioinfo.vipbg.vcu.edu/ERGR/, ERGR aims to accelerate discoveries in alcohol research.
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