Analytical bayesian approach for assigning individuals to populations

Baudouin Luc, Piry Sylvain, Cornuet Jean-Marie. 2004. Analytical bayesian approach for assigning individuals to populations. Journal of Heredity, 95 (3) : 217-224.

Résumé : 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.

Mots-clés Agrovoc : méthode statistique, génétique des populations

Classification Agris : F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

• Baudouin Luc, CIRAD-CP-COCOTIER (FRA)
• Piry Sylvain, INRA (FRA)
• Cornuet Jean-Marie, INRA (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/525219/)

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