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GAIA: An easy-to-use web-based application for interaction analysis of case-control data

BACKGROUND: The advent of cheap, large scale genotyping has led to widespread adoption of genetic association mapping as the tool of choice in the search for loci underlying susceptibility to common complex disease. Whilst simple single locus analysis is relatively trivial to conduct, this is not tr...

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Detalles Bibliográficos
Autores principales: Macgregor, Stuart, Khan, Imtiaz A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1481545/
https://www.ncbi.nlm.nih.gov/pubmed/16595019
http://dx.doi.org/10.1186/1471-2350-7-34
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author Macgregor, Stuart
Khan, Imtiaz A
author_facet Macgregor, Stuart
Khan, Imtiaz A
author_sort Macgregor, Stuart
collection PubMed
description BACKGROUND: The advent of cheap, large scale genotyping has led to widespread adoption of genetic association mapping as the tool of choice in the search for loci underlying susceptibility to common complex disease. Whilst simple single locus analysis is relatively trivial to conduct, this is not true of more complex analysis such as those involving interactions between loci. The importance of testing for interactions between loci in association analysis has been highlighted in a number of recent high profile publications. RESULTS: Genetic Association Interaction Analysis (GAIA) is a web-based application for testing for statistical interactions between loci. It is based upon the widely used case-control study design for genetic association analysis and is designed so that non-specialists may routinely apply tests for interaction. GAIA allows simple testing of both additive and additive plus dominance interaction models and includes permutation testing to appropriately correct for multiple testing. The application will find use both in candidate gene based studies and in genome-wide association studies. For large scale studies GAIA includes a screening approach which prioritizes loci (based on the significance of main effects at one or both loci) for further interaction analysis. CONCLUSION: GAIA is available at
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spelling pubmed-14815452006-06-22 GAIA: An easy-to-use web-based application for interaction analysis of case-control data Macgregor, Stuart Khan, Imtiaz A BMC Med Genet Software BACKGROUND: The advent of cheap, large scale genotyping has led to widespread adoption of genetic association mapping as the tool of choice in the search for loci underlying susceptibility to common complex disease. Whilst simple single locus analysis is relatively trivial to conduct, this is not true of more complex analysis such as those involving interactions between loci. The importance of testing for interactions between loci in association analysis has been highlighted in a number of recent high profile publications. RESULTS: Genetic Association Interaction Analysis (GAIA) is a web-based application for testing for statistical interactions between loci. It is based upon the widely used case-control study design for genetic association analysis and is designed so that non-specialists may routinely apply tests for interaction. GAIA allows simple testing of both additive and additive plus dominance interaction models and includes permutation testing to appropriately correct for multiple testing. The application will find use both in candidate gene based studies and in genome-wide association studies. For large scale studies GAIA includes a screening approach which prioritizes loci (based on the significance of main effects at one or both loci) for further interaction analysis. CONCLUSION: GAIA is available at BioMed Central 2006-04-05 /pmc/articles/PMC1481545/ /pubmed/16595019 http://dx.doi.org/10.1186/1471-2350-7-34 Text en Copyright © 2006 Macgregor and Khan; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Macgregor, Stuart
Khan, Imtiaz A
GAIA: An easy-to-use web-based application for interaction analysis of case-control data
title GAIA: An easy-to-use web-based application for interaction analysis of case-control data
title_full GAIA: An easy-to-use web-based application for interaction analysis of case-control data
title_fullStr GAIA: An easy-to-use web-based application for interaction analysis of case-control data
title_full_unstemmed GAIA: An easy-to-use web-based application for interaction analysis of case-control data
title_short GAIA: An easy-to-use web-based application for interaction analysis of case-control data
title_sort gaia: an easy-to-use web-based application for interaction analysis of case-control data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1481545/
https://www.ncbi.nlm.nih.gov/pubmed/16595019
http://dx.doi.org/10.1186/1471-2350-7-34
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