An ancestral influence graph is derived, an analogue of the coalescent and a composite of Griffiths' (1991) two-locus ancestral graph and Krone and Neuhauser's (1997) ancestral selection graph. This generalizes their use of branching-coalescing random graphs so as to incorporate both selection and recombination into gene genealogies. Qualitative understanding of a 'hitch-hiking' effect on genealogies is pursued via diagrammatic representation of the genealogical process in a two-locus, two-allele haploid model. Extending the simulation technique of Griffiths and Tavare (1996), computational estimation of expected times to the most recent common ancestor of samples of n genes under recombination and selection in two-locus, two-allele haploid and diploid models are presented. Such times are conditional on sample configuration. Monte Carlo simulations show that 'hitch-hiking' is a subtle effect that alters the conditional expected depth of the genealogy at the linked neutral locus depending on a mutation-selection-recombination balance. [References: 15]
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机译：推导了祖先影响图，它是合并的类似物，是Griffiths（1991）的两元位祖先图和Krone and Neuhauser（1997）的祖先选择图的组合。这概括了它们对分支-结集随机图的使用，以便将选择和重组结合到基因谱系中。通过对两基因座，两等位基因单倍体模型中系谱过程的图示表示，可以定性地理解对系谱的“搭便车”效应。扩展了Griffiths和Tavare（1996）的模拟技术，提出了在两个基因座，两个等位基因单倍体和二倍体模型中重组和选择下n个基因样本的最新共同祖先的预期时间的计算估计。这些时间取决于样品配置。蒙特卡洛模拟显示，“搭便车”是一种微妙的效应，它会根据突变选择-重组平衡改变连锁中性基因座的家谱的条件预期深度。 [参考：15]
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