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Nucleic Acids Research Advance Access published online on October 31, 2008
Nucleic Acids Research, doi:10.1093/nar/gkn816
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© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

ERGR: An ethanol-related gene resource

An-Yuan Guo1, Bradley T. Webb2, Michael F. Miles3,4, Mark P. Zimmerman4, Kenneth S. Kendler1,5 and Zhongming Zhao1,4,5,*

1Department of Psychiatry and Virginia Institute for Psychiatric and Behavioral Genetics, 2Department of Pharmacy, 3Department of Pharmacology/Toxicology, Virginia Commonwealth University, Richmond, VA 23298, 4Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA 23284 and 5Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA

*To whom correspondence should be addressed. Tel: +1 804 828 8129; Fax: +1 804 828 1471; Email: zzhao{at}vcu.edu

Received August 12, 2008. Revised September 24, 2008. Accepted October 13, 2008.

Over the last decade rapid progress has been made in the study of ethanol-related traits including alcohol abuse and dependence, and behavioral responses to ethanol in both humans and animal models. To collect, curate, integrate these results so as to make them easily accessible and interpretable for researchers, we developed ERGR, a comprehensive ethanol-related gene resource. We collected and curated more than 30 large-scale data sets including linkage, association and microarray gene expression from the literature and 21 mouse QTLs from public databases. At present, the ERGR deposits ethanol-related information of ~7000 genes from five organisms: human (3311), mouse (2129), rat (679), fly (614) and worm (228). ERGR provides gene annotations and orthologs, detailed gene study information (e.g. fold changes of gene expression, P-values), and both the text and BLAST searches. Moreover, ERGR has data integration tools such as for data union and intersection, and candidate gene selection based on evidence in multiple datasets or organisms. The ERGR database is evolving with new data releases. More functions will also be added. ERGR has a user-friendly web interface with browse and search functions at multiple levels. It is freely available at http://bioinfo.vipbg.vcu.edu/ERGR/.


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