- THIS ARTICLE
- Full Text
- Full Text (PDF)
-
All Versions of this Article:
genetics.108.091850v1
180/3/1767 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 Andolfatto, P.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Andolfatto, P.
Originally published as Genetics Published Articles Ahead of Print on September 14, 2008.
Genetics, Vol. 180, 1767-1771, November 2008, Copyright © 2008
doi:10.1534/genetics.108.091850
Controlling Type-I Error of the McDonald–Kreitman Test in Genomewide Scans for Selection on Noncoding DNA
Peter Andolfatto1
Department of Ecology and Evolutionary Biology and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544
1 Author e-mail: pandolfa{at}princeton.edu
Departures from the assumption of homogenously interdigitated neutral and putatively selected sites in the McDonald–Kreitman test can lead to false rejections of the neutral model in the presence of intermediate levels of recombination. This problem is exacerbated by small sample sizes, nonequilibrium demography, recombination rate variation, and in comparisons involving more recently diverged species. I propose that establishing significance levels by coalescent simulation with recombination can improve the fidelity of the test in genomewide scans for selection on noncoding DNA.
This article has been cited by other articles:
 |
|
 |
|
  J. Parsch, Z. Zhang, and J. F. Baines The Influence of Demography and Weak Selection on the McDonald-Kreitman Test: An Empirical Study in Drosophila Mol. Biol. Evol., March 1, 2009; 26(3): 691 - 698. [Abstract] [Full Text] [PDF]
|
|
|