VIZ-GRAIL: visualizing functional connections across disease loci

Area of Science:

• Genomics
• Bioinformatics
• Systems Biology

Background:

• Identifying common biological pathways across newly discovered disease loci is a significant challenge.
• Understanding these pathways can reveal underlying disease mechanisms.
• Gene relationships and interactions across genetic loci offer a strategy for pathway identification.

Purpose of the Study:

• To introduce VIZ-GRAIL, a software tool designed to visualize gene relationships across implicated genetic loci.
• To display biological patterns and functional connections identified by the Gene Relationships Across Implicated Loci (GRAIL) algorithm.
• To facilitate the appreciation of common functions across different loci.

Main Methods:

• Implementation of VIZ-GRAIL as a software tool.
• Integration with the GRAIL web tool for analysis results.
• Development of visualization techniques to minimize intersecting gene connections for clarity.

Main Results:

• VIZ-GRAIL provides easy-to-read visual displays of gene relationships and biological patterns.
• The tool effectively arranges genes and loci to optimize the clarity of pair-wise gene connections.
• VIZ-GRAIL is adaptable for use with various functional connection types beyond GRAIL.

Conclusions:

• VIZ-GRAIL aids researchers in identifying and appreciating common biological functions across genetic loci.
• The visualization approach helps in understanding potential disease mechanisms.
• The tool enhances the interpretation of complex genomic relationship data.