Inference of population structure using multilocus genotype data.

Genetics
J K PritchardP Donnelly

Abstract

We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci-e.g. , seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/ approximately pritch/home. html.

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Citations

Sep 15, 2021·American Journal of Botany·Gabriela López-BarreraKen Oyama
Aug 23, 2008·Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases·Benjamin M RosenthalEdoardo Pozio
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Aug 8, 2008·Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research·Lídia AguedaSusana Balcells
Aug 8, 2008·Molecular Ecology·Benjamin M FitzpatrickGordon M Burghardt
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Aug 13, 2008·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Ronghuan WangYu Li
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