FIG. 5.
Results of Figure 4 broken down by individual dogs. Here, each point represents a dog and we define atypicality as the proportion of uncommon variants that the dog has compared with the public database—for instance, if 51% or more of dogs in the public database have a G in a specific locus, but this dog has a T, then this would count toward the dog's atypicality. In other words, dogs further to the right are less and less similar to average dogs present in the public dataset (measured by percentage of different variants). In contrast to the most-common-variant baseline, our method generalizes well even to dogs that are highly dissimilar to those in the public dataset. Larger public databases (right) provide more accurate population estimates of , leading to more accurate reconstructions overall.