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.

Erasmus MC: University Medical Center Rotterdam

Estrada Gil, K., Abuseiris, A., Grosveld, F., Uitterlinden, A., Knoch, T., & Rivadeneira Ramirez, F. (2009). GRIMP: A web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data. Bioinformatics, 25(20), 2750–2752. doi:10.1093/bioinformatics/btp497