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Journal of Heredity 2004:95(3):217-224
© 2004 The American Genetic Association

Analytical Bayesian Approach for Assigning Individuals to Populations

L. Baudouin, S. Piry, and J. M. Cornuet

From the Département Cultures Pérennes, TA 80/03, CIRAD, Avenue Agropolis, 34098 Montpellier CEDEX 5, France (Baudouin), and Centre de Biologie et de Gestion des Populations, Campus International de Baillarguet CS 30 016, 34988, Monferrier-sur-Lez CEDEX, France (Piry and Cornuet).

Address correspondence to L. Baudouin at the address above, or e-mail: Luc.baudouin{at}cirad.fr.

We propose a general formulation of the Bayesian method for assigning individuals to a population among a predetermined set of reference populations using molecular marker information. Compared to previously published methods, ours allows us to consider different types of prior information about allele frequencies by using a Dirichlet prior probability distribution. It also makes it possible to assign a set of individuals assumed to belong to the same population with increased accuracy using their pooled genotype data. The efficiency of the method is illustrated by application to a group of closely related coconut populations. An interesting feature of the Bayesian procedure is the way it handles imprecise information. With a poor or even incomplete dataset, assignment is still be possible and gives valid results: poor data quality is reflected in an ambiguous result rather than in a false conclusion.


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