The genealogy, site frequency spectrum and ages of two nested mutant alleles
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The genealogy, site frequency spectrum and ages of two nested mutant alleles. / Hobolth, Asger; Wiuf, Carsten.
I: Theoretical Population Biology, Bind 75, Nr. 4, 01.06.2009, s. 260-265.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - The genealogy, site frequency spectrum and ages of two nested mutant alleles
AU - Hobolth, Asger
AU - Wiuf, Carsten
PY - 2009/6/1
Y1 - 2009/6/1
N2 - In this paper we consider the genealogy of two nested mutant alleles, assuming the constant-size neutral coalescent model with infinite sites mutation. We study the conditional genealogy and derive explicit formulas for the joint and marginal site frequency spectra for the double, single and zero mutant allele. In addition, we find the mean ages of the two mutations. We show that the age of the youngest mutation does not depend on the frequency of the single mutant allele and that the frequency spectra for the single mutant allele and the zero mutant allele are the same.
AB - In this paper we consider the genealogy of two nested mutant alleles, assuming the constant-size neutral coalescent model with infinite sites mutation. We study the conditional genealogy and derive explicit formulas for the joint and marginal site frequency spectra for the double, single and zero mutant allele. In addition, we find the mean ages of the two mutations. We show that the age of the youngest mutation does not depend on the frequency of the single mutant allele and that the frequency spectra for the single mutant allele and the zero mutant allele are the same.
KW - Age of a mutation
KW - Coalescent
KW - Genealogy
KW - Jump chain
KW - Nested mutations
UR - http://www.scopus.com/inward/record.url?scp=67349269539&partnerID=8YFLogxK
U2 - 10.1016/j.tpb.2009.02.001
DO - 10.1016/j.tpb.2009.02.001
M3 - Journal article
C2 - 19249321
AN - SCOPUS:67349269539
VL - 75
SP - 260
EP - 265
JO - Theoretical Population Biology
JF - Theoretical Population Biology
SN - 0040-5809
IS - 4
ER -
ID: 203899124