This thesis focuses on the computational aspects of GWAS. We wish to show that large computing resources are not necessarily required in implementing genome-wide analyses.
In addition, one should keep in mind that a statistical analysis is usually conducted multiple times by a researcher before the final result is obtained.

Additional Metadata
Keywords genome-wide association studies, GWAS, single nucleotide polymorphism
Promotor E.M.E.H. Lesaffre (Emmanuel) , A.G. Uitterliden , P.J.F. Groenen (Patrick)
Publisher Erasmus University Rotterdam
Persistent URL
Sikorska, K. (2014, September 24). Computationally Fast Approaches to Genome-Wide Association Studies. Erasmus University Rotterdam. Retrieved from