Software

G2D: a tool for mining genes associated with disease

Carolina Perez-Iratxeta^1*, Matthias Wjst², Peer Bork^3,4 and Miguel A Andrade¹

• * Corresponding author: Carolina Perez-Iratxeta cperez-iratxeta@ohri.ca

Author Affiliations

¹ Ontario Genomics Innovation Centre, Ottawa Health Research Institute. ON K1H 8L6, Ottawa, Canada

² Institut für Epidemiologie, GSF Forschungszentrum für Umwelt undGesundheit Ingolstadter, Landstrasse 1 D-85758, Neuherberg/Munich, Germany

³ European Molecular Biology Laboratory, D-69118 Heidelberg, Germany

⁴ Department of Bioinformatics, Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13092 Berlin, Germany

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BMC Genetics 2005, 6:45 doi:10.1186/1471-2156-6-45

Published: 22 August 2005

Abstract

Background

Human inherited diseases can be associated by genetic linkage with one or more genomic regions. The availability of the complete sequence of the human genome allows examining those locations for an associated gene. We previously developed an algorithm to prioritize genes on a chromosomal region according to their possible relation to an inherited disease using a combination of data mining on biomedical databases and gene sequence analysis.

Results

We have implemented this method as a web application in our site G2D (Genes to Diseases). It allows users to inspect any region of the human genome to find candidate genes related to a genetic disease of their interest. In addition, the G2D server includes pre-computed analyses of candidate genes for 552 linked monogenic diseases without an associated gene, and the analysis of 18 asthma loci.

Conclusion

G2D can be publicly accessed at http://www.ogic.ca/projects/g2d_2/ webcite.