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Inference of Population Structure Using Multilocus Genotype Data

Bibliographic Data

ID23317985
AuthorsJonathan K Pritchard (0000-0002-8828-5236, University of Oxford, corresponding author), Matthew Stephens (0000-0001-5397-9257, University of Oxford), Peter Donnelly (0000-0002-9878-9673, University of Oxford)
Year2000
Volume155
Issue2
Pages945-959
Publication date2000-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGenetics (JOURNAL)
Journal identifiersISSN: 0016-6731 • E-ISSN: 1943-2631
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/genetics/155.2.945
PMID10835412
OpenAlexW2098126593
LanguageEN
Citations received321
References cited21

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/~pritch/home.html.

Allele · Allele frequency · Biology · Cluster analysis · Computational biology · Evolutionary biology · Gene · Genetic data · Genetic structure · Genetic variation · Genotype · Inference · Locus (genetics) · Microsatellite · Population · Population genetics · Population structure · Artificial Intelligence · Computer Science · Demography · Genetic and phenotypic traits in livestock · Genetic diversity and population structure · Genetics · Wildlife Ecology and Conservation

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Unique citing works321
Citations per year13,38
Citation span2002 - 2026 (25)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 212
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