Journal of Genetics

, Volume 90, Issue 1, pp 51–58

Estimating genetic correlations based on phenotypic data: a simulation-based method

Authors

    • Department of BiomathematicsUniversity of Thessaly School of Medicine
    • Institute for Clinical Research and Health Policy Studies, Tufts Medical CenterTufts University School of Medicine
Research Article

DOI: 10.1007/s12041-011-0021-x

Cite this article as:
ZINTZARAS, E. J Genet (2011) 90: 51. doi:10.1007/s12041-011-0021-x
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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

correlationgeneticsphenotypeenvironmentbiassimulation

Copyright information

© Indian Academy of Sciences 2011