A comparison of two popular statistical methods for estimating the time to most recent common ancestor (TMRCA) from a sample of DNA sequences

被引：7

作者：

Basu, A ^{[1
]}

Majumder, PP ^{[1
]}

机构：

[1] Indian Stat Inst, Anthropol & Human Genet Unit, Kolkata 700108, W Bengal, India

来源：

JOURNAL OF GENETICS | 2003年 / 82卷 / 1-2期

关键词：

oalescence; Monte-Carlo simulation; evolution;

D O I：

10.1007/BF02715874

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

We have compared two statistical methods of estimating the time to most recent common ancestor (TMRCA) from a sample of DNA sequences, which have been proposed by Templeton (1993) and Bandelt et al. (1995). Monte-Carlo simulations were used for generating DNA sequence data. Different evolutionary scenarios were simulated and the estimation procedures were evaluated. We have found that for both methods (i) the estimates are insensitive to demographic parameters and (ii) the standard deviations of the estimates are too high for these methods to be reliably used in practice.

引用

页码：7 / 12

页数：6

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