title: GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data.
abstract: The current fast growth of genome-wide association studies (GWAS) combined with now common computationally expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers for ten thousands of individuals. Here, we present a web-based interface--called GRIMP--to run publicly available genetic software for extremely large GWAS on scalable super-computing grid infrastructures. This is of major importance for the enlargement of GWAS with the availability of whole-genome sequence data from the 1000 Genomes Project and for future whole-population efforts.
authors.affiliation: Department of Internal Medicine, Erasmus MC, Dr. Molewaterplein 50, 3015GE Rotterdam, The Netherlands.
authors.forename: Karol
authors.initials: K
authors.lastname: Estrada
authors.forename: Anis
authors.initials: A
authors.lastname: Abuseiris
authors.forename: Frank G
authors.initials: FG
authors.lastname: Grosveld
authors.forename: André G
authors.initials: AG
authors.lastname: Uitterlinden
authors.forename: Tobias A
authors.initials: TA
authors.lastname: Knoch
authors.forename: Fernando
authors.initials: F
authors.lastname: Rivadeneira
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D016678:Genome; D055106:Genome-Wide Association Study / Q000379:methods*; D023281:Genomics / Q000379:methods*; D020407:Internet; D012984:Software
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