On the informativeness of dominant and co-dominant genetic markers for Bayesian supervised clustering

Details On the informativeness of dominant and co-dominant genetic markers for Bayesian supervised clustering On the informativeness of dominant and co-dominant genetic markers for Bayesian supervised clustering

2011-12-13

arxiv.org/abs/1112.2868v1

The Open Statistics & Probability Journal, 2011, 3, 7-12

Biology

Quantitative Biology

Populations and Evolution

Scientific paper

10.2174/1876527001103010007

We study the accuracy of 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 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.

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