Estimating genetic correlations based on phenotypic data: a simulation-based method Authors
First Online: 24 June 2011 Received: 19 December 2009 Revised: 30 April 2010 Accepted: 05 August 2010 DOI:
Cite this article as: ZINTZARAS, E. J Genet (2011) 90: 51. doi:10.1007/s12041-011-0021-x Abstract
Knowledge of genetic correlations is essential to understand the joint evolution of traits through correlated responses to selection, a difficult and seldom, very precise task even with easy-to-breed species. Here, a simulation-based method to estimate genetic correlations and genetic covariances that relies only on phenotypic measurements is proposed. The method does not require any degree of relatedness in the sampled individuals. Extensive numerical results suggest that the propose method may provide relatively efficient estimates regardless of sample sizes and contributions from common environmental effects.
Keywords correlation genetics phenotype environment bias simulation
[Zintzaras E. 2011 Estimating genetic correlations based on phenotypic data: a simulation-based method.
J. Genet. 90, 51–58] References
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