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估计祖先群体参数。

Estimating ancestral population parameters.

作者信息

Wakeley J, Hey J

机构信息

Department of Biological Sciences, Rutgers University, Piscataway, New Jersey 08855-1059, USA.

出版信息

Genetics. 1997 Mar;145(3):847-55. doi: 10.1093/genetics/145.3.847.

Abstract

The expected numbers of different categories of polymorphic sites are derived for two related models of population history the isolation model, in which an ancestral population splits into two descendents, and the size-change model, in which a single population undergoes an instantaneous change in size. For the isolation model, the observed numbers of shared, fixed, and exclusive polymorphic sites are used to estimate the relative sizes of the three populations, ancestral plus two descendent, as well as the time of the split. For the size change model, the numbers of sites segregating at particular frequencies in the sample are used to estimate the relative sizes of the ancestral and descendent populations plus the time the change took place. Parameters are estimated by choosing values that most closely equate expectations with observations. Computer simulations show that current and historical population parameters can be estimated accurately. The methods are applied to DNA data from two species of Drosophila and to some human mitochondrial DNA sequences.

摘要

针对两种相关的种群历史模型推导了不同类别的多态性位点的预期数量,这两种模型分别是隔离模型(其中一个祖先种群分裂为两个后代种群)和大小变化模型(其中一个单一种群经历大小的瞬时变化)。对于隔离模型,利用共享、固定和排他多态性位点的观察数量来估计三个种群(祖先种群加两个后代种群)的相对大小以及分裂时间。对于大小变化模型,利用样本中以特定频率分离的位点数量来估计祖先种群和后代种群的相对大小以及变化发生的时间。通过选择使预期值与观察值最接近相等的值来估计参数。计算机模拟表明,当前和历史种群参数能够被准确估计。这些方法被应用于两种果蝇的DNA数据以及一些人类线粒体DNA序列。

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Estimating ancestral population parameters.估计祖先群体参数。
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本文引用的文献

1
Evolution in Mendelian Populations.孟德尔群体中的进化。
Genetics. 1931 Mar;16(2):97-159. doi: 10.1093/genetics/16.2.97.
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Statistical tests of neutrality of mutations.突变中性的统计检验。
Genetics. 1993 Mar;133(3):693-709. doi: 10.1093/genetics/133.3.693.
6
Statistical properties of segregating sites.分离位点的统计特性。
Theor Popul Biol. 1995 Oct;48(2):172-97. doi: 10.1006/tpbi.1995.1025.

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