<p>For the 15 phenotypes that had a GxS QTL, this plot depicts the percentage of phenotypic variance explained by models where sex was permitted to act as a main effect only relative to when it could act as a both main effect and interaction term. As detailed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096450#pone-0096450-t003" target="_blank">Table 3</a>, allowing GxS interaction effects in the model at least marginally improved the amount of phenotypic variance explained by predictors. Thus, all the points fall above the grey line, x = y. It is clear from the figure that adrenal gland weight (“aw”) had the greatest improvement in its variance explained by allowing interacting predictors (difference of 1.6%). Additional non-trivial abbreviations are as follows: chloride (“Cl”), triglycerides (“tg”), time spent frozen in fearful context (“c”), time spent frozen after fearful cue (“CuF”), startle response (“FPS”), area of glucose response curve (“ga”), B220+ cell percentage (“B”), and boli produced in the open field test (“b”). ALT occupied nearly the same position as chloride so is represented by the same symbol (“Cl”).</p
