Detecting strong positive selection in the genome
Detecting strong positive selection in the genome
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DOI：
10.1111/j.1755-0998.2010.02869.x
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发表时间：
2010-09
影响因子：
7.7
通讯作者：
W. Stephan
中科院分区：
文献类型：
--
作者：
W. Stephan
在过去的十年里，发展了新的统计检验，使我们能够从全基因组的单核苷酸多态数据中推断出最近强烈的正选择的证据，并在基因组中定位选择的目标。在这些测试的基础上，过去导致地点-变异频谱扭曲的人口统计事件可以与选择区分开来，特别是如果考虑到连锁不平衡的话。这些方法已经成功地应用于拥有完整序列信息和多态数据的物种，包括果蝇、人类和几个植物物种。然而，为了充分利用现有数据，需要将主要针对全科人群设计的测试扩展到空间结构的人群。
New statistical tests have been developed in the past decade that enable us to infer evidence of recent strong positive selection from genome‐wide data on single‐nucleotide polymorphism and to localize the targets of selection in the genome. Based on these tests, past demographic events that led to distortions of the site‐frequency spectrum of variation can be distinguished from selection, in particular if linkage disequilibrium is taken into account. These methods have been successfully applied to species from which complete sequence information and polymorphism data are available, including Drosophila melanogaster, humans, and several plant species. To make full use of the available data, however, the tests that were primarily designed for panmictic populations need to be extended to spatially structured populations.