Inferring fitness landscapes by regression produces biased estimates of epistasis.

ABSTRACT: The genotype-fitness map plays a fundamental role in shaping the dynamics of evolution. However, it is difficult to directly measure a fitness landscape in practice, because the number of possible genotypes is astronomical. One approach is to sample as many genotypes as possible, measure their fitnesses, and fit a statistical model of the landscape that includes additive and pairwise interactive effects between loci. Here, we elucidate the pitfalls of using such regressions by studying artificial but mathematically convenient fitness landscapes. We identify two sources of bias inherent in these regression procedures, each of which tends to underestimate high fitnesses and overestimate low fitnesses. We characterize these biases for random sampling of genotypes as well as samples drawn from

SUBMITTER: Otwinowski J 

PROVIDER: S-EPMC4050575 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature