EMMA is a statistical test for model organisms association mapping correcting for the confounding from population structure and genetic relatedness. EMMA takes advantage of the specific nature of the optimization problem in applying mixed models for association mapping, which allows us to sustantially increase the computational speed and the reliability of the results. The full details are described in
The current implementation of EMMA is available in an R package. The documentation is included in the installation package. If you have you any further question, please contact Hyun Min Kang. This is the joint work of Zaitlen N, Wade CM, Kirby A, Heckerman D, Daly MJ, and Eskin E.
This web-site is based upon work supported by the National Science Foundation under Grant No. 0513599. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.