On detecting incomplete soft or hard selective sweeps using haplotype structure.

ABSTRACT: We present a new haplotype-based statistic (nSL) for detecting both soft and hard sweeps in population genomic data from a single population. We compare our new method with classic single-population haplotype and site frequency spectrum (SFS)-based methods and show that it is more robust, particularly to recombination rate variation. However, all statistics show some sensitivity to the assumptions of the demographic model. Additionally, we show that nSL has at least as much power as other methods under a number of different selection scenarios, most notably in the cases of sweeps from standing variation and incomplete sweeps. This conclusion holds up under a variety of demographic models. In many aspects, our new method is similar to the iHS statistic; however, it is generally more robust

SUBMITTER: Ferrer-Admetlla A 

PROVIDER: S-EPMC3995338 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature