从具有可比突变和异交率的基因组数据推断上位性
Inferring epistasis from genomic data with comparable mutation and outcrossing rate
摘要：
我们认为，由于突变，选择和重组，其中选择包括单位点的条款（加性健身）和两个位点的条款（成对上位健身）的人口不断发展。我们进一步考虑的问题，推断健身的演化动力学从一个或几个快照的基因型在人口中的分布。在最近的文献中，这已经通过应用准连锁平衡（QLE）制度首次获得木村在高重组的限制。在这里，我们表明，该方法也适用于有趣的制度，突变的影响是可比的或大于重组。这导致修改后的主要上位适应性推断公式的突变率和重组发生在一起。我们还推导出这个公式使用以前开发的高斯封闭，形式上仍然有效时，重组是缺席。通过数值模拟验证了研究结果。
英文摘要：
We consider a population evolving due to mutation, selection and recombination, where selection includes single-locus terms (additive fitness) and two-loci terms (pairwise epistatic fitness). We further consider the problem of inferring fitness in the evolutionary dynamics from one or several snap-shots of the distribution of genotypes in the population. In the recent literature this has been done by applying the Quasi-Linkage Equilibrium (QLE) regime first obtained by Kimura in the limit of high recombination. Here we show that the approach also works in the interesting regime where the effects of mutations are comparable to or larger than recombination. This leads to a modified main epistatic fitness inference formula where the rates of mutation and recombination occur together. We also derive this formula using by a previously developed Gaussian closure that formally remains valid when recombination is absent. The findings are validated through numerical simulations.
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