title: Distinguishing between selective sweeps and demography using DNA polymorphism data.
abstract: In 2002 Kim and Stephan proposed a promising composite-likelihood method for localizing and estimating the fitness advantage of a recently fixed beneficial mutation. Here, we demonstrate that their composite-likelihood-ratio (CLR) test comparing selective and neutral hypotheses is not robust to undetected population structure or a recent bottleneck, with some parameter combinations resulting in a false positive rate of nearly 90%. We also propose a goodness-of-fit test for discriminating rejections due to directional selection (true positive) from those due to population and demographic forces (false positives) and demonstrate that the new method has high sensitivity to differentiate the two classes of rejections.
authors.affiliation: Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.
authors.forename: Jeffrey D
authors.initials: JD
authors.lastname: Jensen
authors.forename: Yuseob
authors.initials: Y
authors.lastname: Kim
authors.forename: Vanessa Bauer
authors.initials: VB
authors.lastname: DuMont
authors.forename: Charles F
authors.initials: CF
authors.lastname: Aquadro
authors.forename: Carlos D
authors.initials: CD
authors.lastname: Bustamante
mesh_terms: D003198:Computer Simulation; D003710:Demography; D005828:Genetics, Population; D016013:Likelihood Functions; D008957:Models, Genetic; D009154:Mutation / Q000235:genetics; D011110:Polymorphism, Genetic; D015203:Reproducibility of Results; D012641:Selection, Genetic