Frequentist estimation of coalescence times from nucleotide sequence data using a tree-based partition.
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.
Tang
Hua
H
Department of Statistics, Stanford University, Stanford, California 94305, USA.
Siegmund
David O
DO
Shen
Peidong
P
Oefner
Peter J
PJ
Feldman
Marcus W
MW
D000465:Algorithms; D001483:Base Sequence; D003198:Computer Simulation; D004247:DNA; D004272:DNA, Mitochondrial; D019143:Evolution, Molecular; D008957:Models, Genetic; D008969:Molecular Sequence Data; D009154:Mutation; D010802:Phylogeny; D015983:Selection Bias; D013223:Statistics as Topic; D014998:Y Chromosome
D004272:DNA, Mitochondrial; D004247:DNA