Data from: Is evolution predictable? quantitative genetics under complex genotype-phenotype maps

A fundamental aim of post-genomic 21st century biology is to understand
the genotype-phenotype map (GPM) or how specific genetic variation relates
to specific phenotypic variation. Quantitative genetics approximates such
maps using linear models, and has developed methods to predict the
response to selection in a population. The other major field of research
concerned with the GPM, developmental evolutionary biology or evo-devo,
has found the GPM to be highly nonlinear and complex.  Here we
quantify how the predictions of quantitative genetics are affected by the
complex, nonlinear maps found in developmental biology. We found that the
disagreements between predicted and observed responses to selection are
common, roughly in a third of generations, systematic and due to 
nonlinear nature of the genotype-phenotype map. They occur at all time
scales, even from one generation to the next. Our results are a step
towards integrating the fields studying the GPM.