missed changes. (#94)

DESCRIPTION

@@ -18,8 +18,8 @@ Description: Epistasis, commonly defined as the interaction between genetic loci
   between a given variant and all other variants. By searching for marginal epistatic effects, one can identify genetic
   variants that are involved in epistasis without the need to identify the exact partners with which the variants
   interact – thus, potentially alleviating much of the statistical and computational burden associated with
-  conventional explicit search based methods. Our proposed mvMAPIT builds upon this strategy by taking of correlation
-  structures between traits to improve the identification of variants involved in epistasis. We formulate mvMAPIT as a
+  conventional explicit search based methods. Our proposed mvMAPIT builds upon this strategy by taking advantage of 
+  correlation structure between traits to improve the identification of variants involved in epistasis. We formulate mvMAPIT as a
   multivariate linear mixed model and develop a multi-trait variance component estimation algorithm for efficient
   parameter inference and P-value computation. Together with reasonable model approximations, our proposed approach is
   scalable to moderately sized GWA studies.