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TECHNICAL ADVANCES: A maximum-likelihood relatedness estimator allowing for negative relatedness values
Authors:Konovalov Dmitry A  Heg Dik
Institution:School of Mathematics, Physics & Information Technology, James Cook University, Townsville, Queensland 4811, Australia, Department of Behavioural Ecology, Zoological Institute, University of Bern, Hinterkappelen, Switzerland.
Abstract:Previously reported maximum-likelihood pairwise relatedness (r) estimator of Thompson and Milligan (M) was extended to allow for negative r estimates under the regression interpretation of r. This was achieved by establishing the equivalency of the likelihoods used in the kinship program and the likelihoods of Thompson. The new maximum-likelihood (ML) estimator was evaluated by Monte Carlo simulations. It was found that the new ML estimator became unbiased significantly faster compared to the original M estimator when the amount of genotype information was increased. The effects of allele frequency estimation errors on the new and existing relatedness estimators were also considered.
Keywords:allele frequency errors  codominant molecular markers  maximum likelihood  relatedness
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