选择性中性遗传变异统计
Statistics of selectively neutral genetic variation
摘要：
随机进化模型有助于从基因组序列遗传变异的经验观察中提取微观进化机制的速率。在这种情况下，有必要知道经验观测值的统计特性（例如局部纯合性）。以前的工作依赖于数值结果或假设高斯近似相应的分布。在本文中，我们给出了一个分析推导的统计特性的本地纯合性和其他经验观测假设选择中性。我们发现，这种分布可以是非常非高斯的。
英文摘要：
Random models of evolution are instrumental in extracting rates of microscopic evolutionary mechanisms from empirical observations on genetic variation in genome sequences. In this context it is necessary to know the statistical properties of empirical observables (such as the local homozygosity for instance). Previous work relies on numerical results or assumes Gaussian approximations for the corresponding distributions. In this paper we give an analytical derivation of the statistical properties of the local homozygosity and other empirical observables assuming selective neutrality. We find that such distributions can be very non-Gaussian.
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