The time to the ancestor along sequences with recombination
type: Item
instance of: scholarly article
title: The time to the ancestor along sequences with recombination
zbMATH Open document ID: 0933.92028
published in: Theoretical Population Biology
publication date: 1999-06-29T00:00:00Z
review text: \textit{R. C. Griffiths} and \textit{P. Marjoram} [J. Compu Biol. 3, 479-502 (1996)] study the configuration of mutations in a sample of DNA sequences under an infinitely-many-sites model of mutation when recombination can occur along ancestral lineages. In this model it is assumed that point mutations which occur always segregate new sites in the sequences. The time to the most recent common ancestor (TMRCA) of a sample of sequences can vary along the sequences, since because of recombination, different parts of the sequences can have different ancestors. This paper develops a simulation algorithm for computing the expected TMRCA curve along the sequences when there is recombination, conditional on the number and positions of the segregating sites along the sequences, but not taking into account the full configuration, or the knowledge of which bases are ancestral as in Griffiths and Marjoram.
Mathematics Subject Classification ID: 92D15
Mathematics Subject Classification ID: 92D20
zbMATH DE Number: 1292511
zbMATH Keywords: ancestral inference
zbMATH Keywords: coalescent process
zbMATH Keywords: population genetics
zbMATH Keywords: samples of DNA
zbMATH Keywords: recombination
zbMATH Keywords: time to the most recent common ancestor
Wikidata QID: Q52214996
author: Robert Griffiths
MaRDI profile type: Publication
full work available at URL: tpbi.1998.1390
OpenAlex ID: W2023406396
cites work: Q4864274
cites work: Ancestral inference in population genetics
cites work: Q4368327
cites work: Properties of a neutral allele model with intragenic recombination
cites work: The use of sample genealogies for studying a selectively neutral m-loci model with recombination
cites work: On the number of segregating sites in genetical models without recombination
DOI: 10.1006/TPBI.1998.1390
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description: scientific article; zbMATH DE number 1292511