Student Authors
Aslihan Dincer; Daniel Virgil; Guang XuUMass Chan Affiliations
Program in Bioinformatics and Integrative BiologyDocument Type
Journal ArticlePublication Date
2011-12-01Keywords
Adaptation, Biological; Polymorphism, Genetic; Genetics, Population; GenomicsBioinformatics
Genetics and Genomics
Life Sciences
Medicine and Health Sciences
Metadata
Show full item recordAbstract
Identifying the genetic basis of human adaptation has remained a central focal point of modern population genetics. One major area of interest has been the use of polymorphism data to detect so-called "footprints" of selective sweeps - patterns produced as a beneficial mutation arises and rapidly fixes in the population. Based on numerous simulation studies and power analyses, the necessary sample size for achieving appreciable power has been shown to vary from a few individuals to a few dozen, depending on the test statistic. And yet, the sequencing of multiple copies of a single region, or of multiple genomes as is now often the case, incurs considerable cost. Enard et al. (2010) have recently proposed a method to identify patterns of selective sweeps using a single genome - and apply this approach to human and non-human primates (chimpanzee, orangutan, and macaque). They employ essentially a modification of the Hudson, Kreitman, and Aguade test - using heterozygous single nucleotide polymorphisms from single individuals, and divergence data from two closely related species (human-chimpanzee, human-orangutan, and human-macaque). Given the potential importance of this finding, we here investigate the properties of this statistic. We demonstrate through simulation that this approach is neither robust to demography nor background selection; nor is it robust to variable recombination rates.Source
Sinha P, Dincer A, Virgil D, Xu G, Poh Y-P and Jensen JD (2011) On detecting selective sweeps using single genomes. Front. Gene. 2:85. doi: 10.3389/fgene.2011.00085. Link to article on publisher's websiteDOI
10.3389/fgene.2011.00085Permanent Link to this Item
http://hdl.handle.net/20.500.14038/33241PubMed ID
22303379Related Resources
Link to article in PubMedRights
Copyright: © 2011 Sinha, Dincer, Virgil, Xu, Poh and Jensen. This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
ae974a485f413a2113503eed53cd6c53
10.3389/fgene.2011.00085