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人口统计学历史可能导致重组热点的出现。

Population demographic history can cause the appearance of recombination hotspots.

机构信息

McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

出版信息

Am J Hum Genet. 2012 May 4;90(5):774-83. doi: 10.1016/j.ajhg.2012.03.011.

Abstract

Although the prevailing view among geneticists suggests that recombination hotspots exist ubiquitously across the human genome, there is only limited experimental evidence from a few genomic regions to support the generality of this claim. A small number of true recombination hotspots are well supported experimentally, but the vast majority of hotspots have been identified on the basis of population genetic inferences from the patterns of linkage disequilibrium (LD) seen in the human population. These inferences are made assuming a particular model of human history, and one of the assumptions of that model is that the effective population size of humans has remained constant throughout our history. Our results show that relaxation of the constant population size assumption can create LD and variation patterns that are qualitatively and quantitatively similar to human populations without any need to invoke localized hotspots of recombination. In other words, apparent recombination hotspots could be an artifact of variable population size over time. Several lines of evidence suggest that the vast majority of hotspots identified on the basis of LD information are unlikely to have elevated recombination rates.

摘要

尽管遗传学家普遍认为重组热点存在于人类基因组的各个角落,但仅有少数几个基因组区域的有限实验证据支持这一说法的普遍性。少数真正的重组热点得到了很好的实验支持,但绝大多数热点都是基于人群遗传推断从人类群体中观察到的连锁不平衡 (LD) 模式来识别的。这些推断是基于对人类历史的特定模型做出的,该模型的一个假设是,人类的有效种群大小在整个历史过程中保持不变。我们的研究结果表明,放松种群大小不变的假设可以产生与人类群体相似的 LD 和变异模式,而无需引入局部重组热点。换句话说,明显的重组热点可能是由于种群大小随时间变化而产生的人为现象。有几条证据表明,基于 LD 信息识别的绝大多数热点不太可能具有较高的重组率。

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