GWA likelihood methods
Likelihood methods for GWA
GWA likelihood methods Documentation


This is an R package to perform genome-wide association studies on replicated data. It implements the EMMAX method, including cases where each genotype has more than one observation. In addition, if there are several traits it pays to analyze them together. While the GWA itself is done separately for each trait, some components of the mixed model and the SNP regression are common among traits and thus some time savings can be achieved by considering traits from the same data set together.

The SNP regression portion is multi-threaded. This is implemented so as not to interfere with multi-threading of linear algebra libraries used in R. More details can be found in the documentation.

To install, make sure you have the devtools package on your system, and then run install_github("tonymugen/GWAlikeMeth"). It should work under any Unix-like system, but has not been tested under Windows.