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The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

A Model-Based Method for Identifying Species Hybrids Using Multilocus Genetic Data

Anderson, E C, Thompson, E A·2002·Genetics

Abstract

We present a statistical method for identifying species hybrids using data on multiple, unlinked markers. The method does not require that allele frequencies be known in the parental species nor that separate, pure samples of the parental species be available. The method is suitable for both markers with fixed allelic differences between the species and markers without fixed differences. The probability model used is one in which parentals and various classes of hybrids (F1's, F2's, and various backcrosses) form a mixture from which the sample is drawn. Using the framework of Bayesian model-based clustering allows us to compute, by Markov chain Monte Carlo, the posterior probability that each individual belongs to each of the distinct hybrid classes. We demonstrate the method on allozyme data from two species of hybridizing trout, as well as on two simulated data sets.

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Metadata

Authors
Anderson, E. C., & Thompson, E. A.
Venue
Genetics
Published
2002-03-01
Volume
160
Issue
3
Pages
1217-1229
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
OpenAlex
W2139718698
Cited by
1,498
References
24
FWCI
7.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Model-Based Method for Identifying Species Hybrids Using Multilocus Genetic Data. https://app.cochat.ai/papers/10.1093/genetics/160.3.1217
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Anderson, E. C., & Thompson, E. A. (2002). A Model-Based Method for Identifying Species Hybrids Using Multilocus Genetic Data. Genetics. https://doi.org/10.1093/genetics/160.3.1217

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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