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Updated: Jan 13, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
GAIA: an easy-to-use web-based application for interaction analysis of case-control data.
Stuart Macgregor1, Imtiaz A Khan
1Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia. stuart.macgregor@qimr.edu.au
Genetic Association Interaction Analysis (GAIA) is a new web tool for testing gene interactions in complex diseases. It simplifies complex genetic association studies for researchers, improving the discovery of disease-related genetic loci.
Area of Science:
- Genetics
- Bioinformatics
- Statistical Genetics
Background:
- Genetic association mapping is widely used for complex disease research.
- Analyzing gene interactions (loci) is crucial but complex.
- Recent studies emphasize the importance of testing for locus interactions.
Purpose of the Study:
- To introduce Genetic Association Interaction Analysis (GAIA), a web-based tool.
- To enable routine testing of locus interactions by non-specialists.
- To support both candidate gene and genome-wide association studies.
Main Methods:
- GAIA utilizes a case-control study design.
- It supports additive and additive plus dominance interaction models.
- Permutation testing is included for multiple testing correction.
Main Results:
- GAIA provides a user-friendly platform for interaction analysis.
- It incorporates a screening approach for large-scale studies.
- Prioritization of loci is based on main effect significance.
Conclusions:
- GAIA is accessible online at http://www.bbu.cf.ac.uk/html/research/biostats.htm.
- The tool aims to facilitate complex genetic interaction analysis.
- It supports researchers in identifying genetic factors for complex diseases.
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