Grid Based Genome Wide Studies on Atrial Flutter

Authors:
Andrea Calabria;Davide Di Pasquale;Matteo Gnocchi;Paolo Alessandro Cozzi;Alessandro Orro;Gabriele Antonio Trombetti;Luciano Milanesi
Affiliations:
Institute for Biomedical Technologies, National Research Council, Segrate, Italy and Department of Informatics, Systems and Communication, University of Milano Bicocca, Milan, Italy;Institute for Biomedical Technologies, National Research Council, Segrate, Italy;Institute for Biomedical Technologies, National Research Council, Segrate, Italy;Institute for Biomedical Technologies, National Research Council, Segrate, Italy;Institute for Biomedical Technologies, National Research Council, Segrate, Italy;Institute for Biomedical Technologies, National Research Council, Segrate, Italy;Institute for Biomedical Technologies, National Research Council, Segrate, Italy
Venue:
Journal of Grid Computing
Year:
2010

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Abstract

The Genetic Linkage Analysis of SNP (Single Nucleotide Polymorphism) markers permits the discovery of genetic correlations in complex diseases following their transmission through family generations. However, all major algorithms proposed in the literature require high computational power and memory availability, making large data sets very hard to analyze on a single CPU. A facility for achieving a Whole-Genome Linkage Analysis has been set up as a web application upon a highly distributed infrastructure: the EGEE Grid. Test cases have been run with 10,000 to one million SNPs per Chip and, after validation, the application has been effectively used for a study on cardiac conduction disorders.