title: A maximum-likelihood method for the estimation of pairwise relatedness in structured populations.
abstract: A maximum-likelihood estimator for pairwise relatedness is presented for the situation in which the individuals under consideration come from a large outbred subpopulation of the population for which allele frequencies are known. We demonstrate via simulations that a variety of commonly used estimators that do not take this kind of misspecification of allele frequencies into account will systematically overestimate the degree of relatedness between two individuals from a subpopulation. A maximum-likelihood estimator that includes F(ST) as a parameter is introduced with the goal of producing the relatedness estimates that would have been obtained if the subpopulation allele frequencies had been known. This estimator is shown to work quite well, even when the value of F(ST) is misspecified. Bootstrap confidence intervals are also examined and shown to exhibit close to nominal coverage when F(ST) is correctly specified.
authors.affiliation: Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA. ada891@u.washington.edu
authors.forename: Amy D
authors.initials: AD
authors.lastname: Anderson
authors.forename: Bruce S
authors.initials: BS
authors.lastname: Weir
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D005787:Gene Frequency; D006801:Humans; D016013:Likelihood Functions; D008957:Models, Genetic; D011110:Polymorphism, Genetic; D011157:Population Dynamics; D035781:Siblings