Frequentist estimation of coalescence times from nucleotide sequence data using a tree-based partition

被引:0
|
作者
Tang, H
Siegmund, DO
Shen, PD
Oefner, PJ
Feldman, MW
机构
[1] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
[2] Stanford Univ, Stanford Genome Technol Ctr, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Sci Biol, Stanford, CA 94305 USA
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中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
This article proposes a method of estimating the time to the most recent common ancestor (TMRCA) of a sample of DNA sequences. The method is based on the molecular clock hypothesis, but avoids assumptions about population structure. Simulations show that in a wide range of situations, the point estimate has small bias and the confidence interval has at least the nominal coverage probability. We discuss conditions that can lead to biased estimates. Performance of this estimator is compared with existing methods based on the coalescence theory. The method is applied to sequences of Y chromosomes and mtDNAs to estimate the coalescent times of human male and female populations.
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页码:447 / 459
页数:13
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