Estimation of Selection Intensity under Overdominance by Bayesian Methods

Buzbas Erkan Ozge, Joyce Paul and Abdo Zaid
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Buzbas Erkan Ozge: University of Idaho
Joyce Paul: University of Idaho
Abdo Zaid: University of Idaho

Statistical Applications in Genetics and Molecular Biology, 2009, vol. 8, issue 1, 24

Abstract: A balanced pattern in the allele frequencies of polymorphic loci is a potential sign of selection, particularly of overdominance. Although this type of selection is of some interest in population genetics, there exists no likelihood based approaches specifically tailored to make inference on selection intensity. To fill this gap, we present Bayesian methods to estimate selection intensity under k-allele models with overdominance. Our model allows for an arbitrary number of loci and alleles within a locus. The neutral and selected variability within each locus are modeled with corresponding k-allele models. To estimate the posterior distribution of the mean selection intensity in a multilocus region, a hierarchical setup between loci is used. The methods are demonstrated with data at the Human Leukocyte Antigen loci from world-wide populations.

Keywords: overdominance; heterozygote advantage; balancing selection k-allele models; Bayesian inference (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (3)

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DOI: 10.2202/1544-6115.1466

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