Genealogical histories in structured populations.

dc.contributor.author

Kumagai, Seiji

dc.contributor.author

Uyenoyama, Marcy K

dc.date.accessioned

2022-10-01T14:16:27Z

dc.date.available

2022-10-01T14:16:27Z

dc.date.issued

2015-06

dc.date.updated

2022-10-01T14:16:26Z

dc.description.abstract

In genealogies of genes sampled from structured populations, lineages coalesce at rates dependent on the states of the lineages. For migration and coalescence events occurring on comparable time scales, for example, only lineages residing in the same deme of a geographically subdivided population can have descended from a common ancestor in the immediately preceding generation. Here, we explore aspects of genealogical structure in a population comprising two demes, between which migration may occur. We use generating functions to obtain exact densities and moments of coalescence time, number of mutations, total tree length, and age of the most recent common ancestor of the sample. We describe qualitative features of the distribution of gene genealogies, including factors that influence the geographical location of the most recent common ancestor and departures of the distribution of internode lengths from exponential.

dc.identifier

S0040-5809(15)00013-1

dc.identifier.issn

0040-5809

dc.identifier.issn

1096-0325

dc.identifier.uri

https://hdl.handle.net/10161/25944

dc.language

eng

dc.publisher

Academic Press Inc.

dc.relation.ispartof

Theoretical population biology

dc.relation.isversionof

10.1016/j.tpb.2015.01.003

dc.subject

Humans

dc.subject

Pedigree

dc.subject

Genetics, Population

dc.subject

Models, Genetic

dc.subject

Genealogy and Heraldry

dc.subject

Human Migration

dc.title

Genealogical histories in structured populations.

dc.type

Journal article

duke.contributor.orcid

Uyenoyama, Marcy K|0000-0001-8249-1103

pubs.begin-page

3

pubs.end-page

15

pubs.issue

C

pubs.organisational-group

Duke

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Biology

pubs.publication-status

Published

pubs.volume

102

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