Detection of signatures of selection using FST

Porto-Neto, Laercio R., Lee, Seung Hwan, Lee, Hak Kyo and Gondro, Cedric (2013) Detection of signatures of selection using FST. Methods in Molecular Biology, 1019 11: 423-436. doi:10.1007/978-1-62703-447-0-19

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Porto-Neto, Laercio R.
Lee, Seung Hwan
Lee, Hak Kyo
Gondro, Cedric
Title Detection of signatures of selection using FST
Journal name Methods in Molecular Biology   Check publisher's open access policy
ISSN 1064-3745
ISBN 9781627034463
Publication date 2013-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1007/978-1-62703-447-0-19
Volume 1019
Issue 11
Start page 423
End page 436
Total pages 14
Place of publication New York, NY United States
Publisher Humana Press Inc.
Language eng
Subject 1312 Molecular Biology
1311 Genetics
Abstract Natural selection has molded the evolution of species across all taxa. Much more recently, on an evolutionary scale, human-oriented selection started to play an important role in shaping organisms, markedly so after the domestication of animals and plants. These selection processes have left traceable marks in the genome. Following from the recent advances in molecular genetics technologies, a number of methods have been developed to detect such signals, termed genomic signatures of selection. In this chapter we discuss a straightforward protocol based on the F ST statistic to identify genomic regions that exhibit high variation in allelic frequency between groups, which is a characteristic of genomic regions that have gone through differential selection. How to define the borders of these regions and further explore its genetic content is then discussed.
Keyword Adaptation
Population genetics
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
ERA White List Items
School of Veterinary Science Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 29 Nov 2013, 05:11:30 EST by System User on behalf of School of Veterinary Science