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

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    • Keywords


      correlation; genetics; phenotype; environment; bias; simulation.

    • 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.

    • Author Affiliations


      Elias Zintzaras1 2

      1. Department of Biomathematics, University of Thessaly School of Medicine, 2 Panepistimiou Str., Biopolis, Larissa 41110, Greece
      2. Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, 800 Washington Street, Boston, MA 02111, USA.
    • Dates

  • Journal of Genetics | News

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      Posted on July 25, 2019

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