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Performing Parentage Analysis in the Presence of Inbreeding and Null Alleles

机译:在近亲和无效等位基因存在下进行亲子关系分析

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摘要

Parentage analysis is an important method that is used widely in zoological and ecological studies. Current mathematical models of parentage analyses usually assume that a population has a uniform genetic structure and that mating is panmictic. In a natural population, the geographic or social structure of a population, and/or nonrandom mating, usually leads to a genetic structure and results in genotypic frequencies deviating from those expected under the Hardy-Weinberg equilibrium (HWE). In addition, in the presence of null alleles, an observed genotype represents one of several possible true genotypes. The true father of a given offspring may thus be erroneously excluded in parentage analyses, or may have a low or negative LOD score. Here, we present a new mathematical model to estimate parentage that includes simultaneously the effects of inbreeding, null alleles, and negative amplification. The influences of these three factors on previous model are evaluated by Monte-Carlo simulations and empirical data, and the performance of our new model is compared under controlled conditions. We found that, for both simulated and empirical data, our new model outperformed other methods in many situations. We make available our methods in a new, free software package entitled parentage. This can be downloaded via .
机译:亲子关系分析是在生态学和生态学研究中广泛使用的一种重要方法。当前关于亲子关系分析的数学模型通常假设种群具有统一的遗传结构,并且交配是恐慌性的。在自然种群中,种群的地理或社会结构和/或非随机交配通常会导致遗传结构,并导致基因型频率偏离在哈迪-温伯格平衡(HWE)下预期的频率。另外,在无效等位基因的存在下,观察到的基因型代表几种可能的真实基因型之一。因此,给定后代的真正父亲可能会在亲子关系分析中被错误地排除在外,或者其LOD得分较低或为负。在这里,我们提出了一个新的数学模型来估计亲子关系,该模型同时包括近交,无效等位基因和负扩增的影响。通过蒙特卡罗模拟和经验数据评估了这三个因素对先前模型的影响,并在受控条件下比较了我们新模型的性能。我们发现,无论是模拟数据还是经验数据,我们的新模型在许多情况下均优于其他方法。我们在名为“父母身分”的新的免费软件包中提供了我们的方法。可以通过下载。

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