On the Informativeness of Dominant and Co-Dominant Genetic Markers for Bayesian Supervised Clustering
Gilles Guillot*, 1, Alexandra Carpentier-Skandalis2
Identifiers and Pagination:Year: 2011
First Page: 7
Last Page: 12
Publisher Id: TOSPJ-3-7
Article History:Received Date: 29/7/2010
Revision Received Date: 15/10/2010
Acceptance Date: 18/11/2010
Electronic publication date: 30/3/2011
Collection year: 2011
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.