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Inference of Population Structure Using Multilocus Genotype Data

Pritchard, Jonathan K, Stephens, Matthew, Donnelly, Peter·2000·Genetics
DOI 10.1093/genetics/155.2.945
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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/~pritch/home.html.

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Citations

Cites

Research works printed but not linked: 28

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Metadata

Authors
Pritchard, J. K., Stephens, M., & Donnelly, P.
Venue
Genetics
Publisher
Oxford University Press (OUP)
Published
2000-06-01
Volume
155
Issue
2
Pages
945-959
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
DOI
10.1093/genetics/155.2.945
OpenAlex
W2098126593
Cited by
33,908
References
2
FWCI
48.24
Type
journal article
Language
en
Open access
closed
Licence
academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)

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