Literature DB >> 17557886

Compound tests for the detection of hitchhiking under positive selection.

Kai Zeng1, Suhua Shi, Chung-I Wu.   

Abstract

Many statistical tests have been developed for detecting positive selection. Most of these tests draw conclusions based on significant deviations from the patterns of polymorphism predicted by the neutral model. However, many non-equilibrium forces may cause similar deviations, and thus the tests usually have low statistical specificity to positive selection. The main challenge is hence to construct test statistics that are reasonably powerful in detecting positive selection, but are relatively insensitive to other forces. Recently, Zeng et al. (2006) proposed a new test, DH, which is a compound of Tajima's D and Fay and Wu's H, and showed that DH has reasonably high statistical specificity to positive selection. In this report, we expand the idea of a compound test by combining Fay and Wu's H or DH with the Ewens-Watterson (EW) test. We refer to these 2 new tests as HEW and DHEW, respectively. Compared to the DH test, HEW and DHEW are more robust against the presence of recombination, and are also more powerful in detecting positive selection. Furthermore, the DHEW test, similar to DH, is also relatively insensitive to background selection and demography. The HEW test, on the other hand, tends to be somewhat less conservative than DH and DHEW in some cases.

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Year:  2007        PMID: 17557886     DOI: 10.1093/molbev/msm119

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  44 in total

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7.  Automating approximate Bayesian computation by local linear regression.

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8.  Scanning for the signatures of positive selection for human-specific insertions and deletions.

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9.  Adaptive evolution of newly emerged micro-RNA genes in Drosophila.

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10.  Estimating selection intensity on synonymous codon usage in a nonequilibrium population.

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Journal:  Genetics       Date:  2009-07-20       Impact factor: 4.562

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