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A Temporal Perspective on the Interplay of Demography and Selection on Deleterious Variation in Humans

机译:人口统计学相互作用和人类有害变异选择的时间观点

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摘要

When mutations have small effects on fitness, population size plays an important role in determining the amount and nature of deleterious genetic variation. The extent to which recent population size changes have impacted deleterious variation in humans has been a question of considerable interest and debate. An emerging consensus is that the Out-of-Africa bottleneck and subsequent growth events have been too short to cause meaningful differences in genetic load between populations; though changes in the number and average frequencies of deleterious variants have taken place. To provide more support for this view and to offer additional insight into the divergent evolution of deleterious variation across populations, we numerically solve time-inhomogeneous diffusion equations and study the temporal dynamics of the frequency spectra in models of population size change for modern humans. We observe how the response to demographic change differs by the strength of selection, and we then assess whether similar patterns are observed in exome sequence data from 33,370 and 5203 individuals of non-Finnish European and West African ancestry, respectively. Our theoretical results highlight how even simple summaries of the frequency spectrum can have complex responses to demographic change. These results support the finding that some apparent discrepancies between previous results have been driven by the behaviors of the precise summaries of deleterious variation. Further, our empirical results make clear the difficulty of inferring slight differences in frequency spectra using recent next-generation sequence data.
机译:当突变对适应性影响较小时,种群大小在确定有害遗传变异的数量和性质方面起着重要作用。最近人口规模的变化在多大程度上影响了人类的有害变异一直是引起人们极大兴趣和辩论的问题。新兴的共识是,非洲以外的瓶颈和随后的增长事件太短,无法在种群之间造成有意义的遗传差异。尽管有害变体的数量和平均频率发生了变化。为了对此观点提供更多支持,并提供对整个种群有害变异的发散进化的更多见解,我们在数值上求解了时间非均匀扩散方程,并研究了现代人类种群大小变化模型中频谱的时间动态。我们观察人口统计学变化的反应如何因选择强度而异,然后评估在来自非芬兰欧洲和西非血统的33,370和5203个人的外显子组序列数据中是否观察到相似的模式。我们的理论结果突显了即使简单的频谱摘要也可以对人口变化做出复杂的响应。这些结果支持以下发现:先前结果之间的某些明显差异是由有害变异的精确汇总行为所驱动的。此外,我们的经验结果清楚地表明了使用最新的下一代序列数据来推断频谱中细微差异的困难。

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