Quantitative Biology Colloquium
Joint Inferences of Natural Selection from Population Genomic Data
Tue, 02/05/2019 - 4:00pm
The distribution of fitness effects (DFE) among new mutations quantifies how likely a mutation is to have severe, moderate, or minor effect. The DFE is a key determinant of how functional genetic variation is distributed among and within populations, and much research has focused on inferring the DFE from population genetic data. Here, I describe ongoing work on two novel mathematical approaches for inferring the DFE. First, we have extended the conventional one-dimensional DFE to a two-dimensional DFE, to account for differences in fitness affects between populations. Second, we have developed a diffusion model of how selection acts on pairs of nearby mutations, which offers the prospect of inferring how mutations interact.