title: On the occurrence of false positives in tests of migration under an isolation-with-migration model.
abstract: The population genetic study of divergence is often carried out using a Bayesian genealogy sampler, like those implemented in ima2 and related programs, and these analyses frequently include a likelihood ratio test of the null hypothesis of no migration between populations. Cruickshank and Hahn (2014, Molecular Ecology, 23, 3133-3157) recently reported a high rate of false-positive test results with ima2 for data simulated with small numbers of loci under models with no migration and recent splitting times. We confirm these findings and discover that they are caused by a failure of the assumptions underlying likelihood ratio tests that arises when using marginal likelihoods for a subset of model parameters. We also show that for small data sets, with little divergence between samples from two populations, an excellent fit can often be found by a model with a low migration rate and recent splitting time and a model with a high migration rate and a deep splitting time.
authors.affiliation: Center for Computational Genetics and Genomics, Temple University, 1900 N. 12th Street, Philadelphia, PA, 19122, USA.
authors.forename: Jody
authors.initials: J
authors.lastname: Hey
authors.affiliation: Center for Computational Genetics and Genomics, Temple University, 1900 N. 12th Street, Philadelphia, PA, 19122, USA.
authors.forename: Yujin
authors.initials: Y
authors.lastname: Chung
authors.affiliation: Center for Computational Genetics and Genomics, Temple University, 1900 N. 12th Street, Philadelphia, PA, 19122, USA.
authors.forename: Arun
authors.initials: A
authors.lastname: Sethuraman
mesh_terms: D000818:Animals; D051456:Gene Flow; D049810:Genetic Speciation; D044404:Genomic Islands; D008957:Models, Genetic
keywords: divergence; false positive; gene flow; isolation with migration