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.

Grid Powered Genome Wide Studies On Atrial Flutter

Di Pasquale D;Gnocchi M;Orro A;Trombetti G;Milanesi L
2010

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.
2010
Istituto di Tecnologie Biomediche - ITB
LINKAGE DISEQUILIBRIUM
MULTIPOINT LINKAGE
INDEPENDENT TASKS
PROCESSORS
STRATEGIES
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/26610
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