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Signatures of population expansion in microsatellite repeat data.

机译:微卫星重复数据中种群扩展的特征。

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摘要

To examine the signature of population expansion on genetic variability at microsatellite loci, we consider a population that evolves according to the time-continuous Moran model, with growing population size and mutations that follow a general asymmetric stepwise mutation model. We present calculations of expected allele-size variance and homozygosity at a locus in such a model for several variants of growth, including stepwise, exponential, and logistic growth. These calculations in particular prove that population bottleneck followed by growth in size causes an imbalance between allele size variance and heterozygosity, characterized by the variance being transiently higher than expected under equilibrium conditions. This effect is, in a sense, analogous to that demonstrated before for the infinite allele model, where the number of alleles transiently increases after a stepwise growth of population. We analyze a set of data on tetranucleotide repeats that reveals the imbalance expected under the assumption of bottleneck followed by population growth in two out of three major racial groups. The imbalance is strongest in Asians, intermediate in Europeans, and absent in Africans. This finding is consistent with previous findings by others concerning the population expansion of modern humans, with the bottleneck event being most ancient in Africans, most recent in Asians, and intermediate in Europeans. Nevertheless, the imbalance index alone cannot reliably estimate the time of initiation of population expansion.
机译:为了检查微卫星基因座上种群扩展对遗传变异性的影响,我们考虑了根据时间连续Moran模型演化的种群,种群数量不断增长,并且突变遵循一般的不对称逐步突变模型。我们在这种模型中,针对几个增长的变体,包括逐步,指数和对数增长,在一个基因座上提供了预期的等位基因大小方差和纯合性的计算。这些计算尤其证明,人口瓶颈伴随着大小的增长导致等位基因大小变异与杂合性之间的不平衡,其特征是变异在瞬时条件下高于预期。从某种意义上说,这种效应类似于之前针对无限等位基因模型所证明的效应,在无限等位基因模型中,等位基因的数量在种群逐步增长后瞬时增加。我们分析了一组关于四核苷酸重复的数据,揭示了在瓶颈的假设下预期的失衡,随后三个主要种族群体中有两个种族增长。这种失衡在亚洲人中最为严重,在欧洲人中处于不平衡状态,而在非洲人中则没有。这一发现与其他人先前关于现代人类人口扩张的发现是一致的,瓶颈事件在非洲人中最古老,在亚洲人中最近,在欧洲人中居中。然而,仅靠失衡指数不能可靠地估计人口扩张开始的时间。

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