- THIS ARTICLE
- Full Text
- Full Text (PDF)
-
All Versions of this Article:
genetics.105.041368v1
171/1/377 most recent - Alert me when this article is cited
- Alert me if a correction is posted
- SERVICES
- Email this article to a friend
- Similar articles in this journal
- Similar articles in PubMed
- Alert me to new issues of the journal
- Download to citation manager
- Reprints & Permissions
- CITING ARTICLES
- Citing Articles via HighWire
- Citing Articles via Google Scholar
- GOOGLE SCHOLAR
- Articles by Li, H.
- Articles by Stephan, W.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Li, H.
- Articles by Stephan, W.
Originally published as Genetics Published Articles Ahead of Print on June 21, 2005.
Genetics, Vol. 171, 377-384, September 2005, Copyright © 2005
doi:10.1534/genetics.105.041368
Maximum-Likelihood Methods for Detecting Recent Positive Selection and Localizing the Selected Site in the Genome
Haipeng Li1 and Wolfgang Stephan
Section of Evolutionary Biology, Department of Biology II, University of Munich, 82152 Planegg-Martinsried, Germany
1 Corresponding author: Department of Biologie II, LMU München, Grosshaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
E-mail: li{at}zi.biologie.uni-muenchen.de
Two maximum-likelihood methods are proposed for detecting recent, strongly positive selection and for localizing the target of selection along a recombining chromosome. The methods utilize the compact mutation frequency spectrum at multiple neutral loci that are partially linked to the selected site. Using simulated data, we show that the power of the tests lies between 80 and 98% in most cases, and the false positive rate could be as low as 
10% when the number of sampled marker loci is sufficiently large (
20). The confidence interval around the estimated position of selection is reasonably narrow. The methods are applied to X chromosome data of Drosophila melanogaster from a European and an African population. Evidence of selection was found for both populations (including a selective sweep that was shared between both populations).
This article has been cited by other articles:
 |
|
 |
|
  S. Boitard, C. Schlotterer, and A. Futschik Detecting Selective Sweeps: A New Approach Based on Hidden Markov Models Genetics, April 1, 2009; 181(4): 1567 - 1578. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P. R Haddrill and B. Charlesworth Non-neutral processes drive the nucleotide composition of non-coding sequences in Drosophila Biol Lett, August 23, 2008; 4(4): 438 - 441. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D. J. Orengo and M. Aguade Genome Scans of Variation and Adaptive Change: Extended Analysis of a Candidate Locus Close to the phantom Gene Region in Drosophila melanogaster Mol. Biol. Evol., May 1, 2007; 24(5): 1122 - 1129. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
P. Pfaffelhuber, B. Haubold, and A. Wakolbinger Approximate Genealogies Under Genetic Hitchhiking Genetics, December 1, 2006; 174(4): 1995 - 2008. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. T. Hamblin, A. M. Casa, H. Sun, S. C. Murray, A. H. Paterson, C. F. Aquadro, and S. Kresovich Challenges of Detecting Directional Selection After a Bottleneck: Lessons From Sorghum bicolor Genetics, June 1, 2006; 173(2): 953 - 964. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. E. Pool, V. B. DuMont, J. L. Mueller, and C. F. Aquadro A Scan of Molecular Variation Leads to the Narrow Localization of a Selective Sweep Affecting Both Afrotropical and Cosmopolitan Populations of Drosophila melanogaster Genetics, February 1, 2006; 172(2): 1093 - 1105. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Beisswanger, W. Stephan, and D. De Lorenzo Evidence for a Selective Sweep in the wapl Region of Drosophila melanogaster Genetics, January 1, 2006; 172(1): 265 - 274. [Abstract] [Full Text] [PDF]
|
|
|