A Likelihood Approach for Uncovering Selective Sweep Signatures from Haplotype Data.

ABSTRACT: Selective sweeps are frequent and varied signatures in the genomes of natural populations, and detecting them is consequently important in understanding mechanisms of adaptation by natural selection. Following a selective sweep, haplotypic diversity surrounding the site under selection decreases, and this deviation from the background pattern of variation can be applied to identify sweeps. Multiple methods exist to locate selective sweeps in the genome from haplotype data, but none leverages the power of a model-based approach to make their inference. Here, we propose a likelihood ratio test statistic T to probe whole-genome polymorphism data sets for selective sweep signatures. Our framework uses a simple but powerful model of haplotype frequency spectrum distortion to find sweeps and add

SUBMITTER: Harris AM 

PROVIDER: S-EPMC7530616 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature