On the Informativeness of Dominant and Co-Dominant Genetic Markers for Bayesian Supervised Clustering

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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We study the accuracy of a Bayesian supervised method used to cluster individuals into genetically homogeneous groups on the basis of dominant or codominant molecular markers. We provide a formula relating an error criterion to the number of loci used and the number of clusters. This formula is exact and holds for arbitrary number of clusters and markers. Our work suggests that dominant markers studies can achieve an accuracy similar to that of codominant markers studies if the number of markers used in the former is about 1.7 times larger than in the latter.
Original languageEnglish
JournalThe Open Statistics & Probability Journal
Publication date2011
Volume3
Pages7-12
ISSN1876-5270
DOIs
StatePublished
CitationsWeb of Science® Times Cited: No match on DOI

Keywords

  • AFLP, Assigment method, SNP, Bayes estimator, Multilocus genotype, Likelihood
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