English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Inference of historical population-size changes with allele-frequency data

Lynch, M., Haubold, B., Pfaffelhuber, P., & Maruki, T. (2020). Inference of historical population-size changes with allele-frequency data. G3: Genes, Genomes, Genetics, 10(1), 211-223. doi:10.1534/g3.119.400854.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-83FB-C Version Permalink: http://hdl.handle.net/21.11116/0000-0005-83FC-B
Genre: Journal Article

Files

show Files
hide Files
:
211.full.pdf (Publisher version), 2MB
Name:
211.full.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Locator:
Link (Publisher version)
Description:
-

Creators

show
hide
 Creators:
Lynch, Michael, Author
Haubold, Bernhard1, Author              
Pfaffelhuber, Peter, Author
Maruki, Takahiro, Author
Affiliations:
1Research Group Bioinformatics, Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445644              

Content

show
hide
Free keywords: -
 Abstract: With up to millions of nearly neutral polymorphisms now being routinely sampled in population-genomic surveys, it is possible to estimate the site-frequency spectrum of such sites with high precision. Each frequency class reflects a mixture of potentially unique demographic histories, which can be revealed using theory for the probability distributions of the starting and ending points of branch segments over all possible coalescence trees. Such distributions are completely independent of past population history, which only influences the segment lengths, providing the basis for estimating average population sizes separating tree-wide coalescence events. The history of population-size change experienced by a sample of polymorphisms can then be dissected in a model-flexible fashion, and extension of this theory allows estimation of the mean and full distribution of long-term effective population sizes and ages of alleles of specific frequencies. Here, we outline the basic theory underlying the conceptual approach, develop and test an efficient statistical procedure for parameter estimation, and apply this to multiple population-genomic datasets for the microcrustacean Daphnia pulex.

Details

show
hide
Language(s): eng - English
 Dates: 2019-05-202019-11-042020-012020-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1534/g3.119.400854
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: G3: Genes, Genomes, Genetics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Bethesda : Genetics Society of America
Pages: - Volume / Issue: 10 (1) Sequence Number: - Start / End Page: 211 - 223 Identifier: -