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

机译:基于表型数据的遗传相关性估算基于模拟的方法

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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.
机译:遗传相关知识对于了解通过与选择,困难和很少,非常精确的任务的相关响应来了解特征的联合演变是必不可少的。这里,提出了一种基于模拟的方法来估计仅依赖于表型测量的遗传相关和遗传共聚员。该方法不需要采样的个体中的任何相关性。广泛的数值结果表明,不管来自常见环境效应的样本尺寸和贡献如何,该方法可以提供相对有效的估计。

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