Figure 1
Conceptual model for the integration of population genomics and quantitative genetics. In (a), using population genomics approaches, outlier loci can be identified either by identifying loci with FST values that exceed confidence limits or intervals based on neutral coalescent simulations (dashed line, left panel) or are in the tails of the empirical, genome-wide distributions (filled portions of distribution, right panel). Once these outlier loci (shown in red), which are some unknown distance from the causal mutations, have been identified statistically, the next step of identifying the causal gene and mutation(s) can be pursued using genetic mapping techniques common to quantitative genetics (b). These mapping approaches can entail genetic crosses, or identification of homologous regions/candidate loci in related model organisms, or both.
