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Genetics
Article . 2000 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Genetics
Article
Data sources: UnpayWall
Genetics
Article . 2000
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Hitchhiking Under Positive Darwinian Selection

Authors: J C, Fay; C I, Wu;

Hitchhiking Under Positive Darwinian Selection

Abstract

Abstract Positive selection can be inferred from its effect on linked neutral variation. In the restrictive case when there is no recombination, all linked variation is removed. If recombination is present but rare, both deterministic and stochastic models of positive selection show that linked variation hitchhikes to either low or high frequencies. While the frequency distribution of variation can be influenced by a number of evolutionary processes, an excess of derived variants at high frequency is a unique pattern produced by hitchhiking (derived refers to the nonancestral state as determined from an outgroup). We adopt a statistic, H, to measure an excess of high compared to intermediate frequency variants. Only a few high-frequency variants are needed to detect hitchhiking since not many are expected under neutrality. This is of particular utility in regions of low recombination where there is not much variation and in regions of normal or high recombination, where the hitchhiking effect can be limited to a small (<1 kb) region. Application of the H test to published surveys of Drosophila variation reveals an excess of high frequency variants that are likely to have been influenced by positive selection.

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Keywords

Recombination, Genetic, Stochastic Processes, Models, Statistical, Polymorphism, Genetic, Models, Genetic, Genetic Linkage, Genetic Variation, Predictive Value of Tests, Animals, Drosophila, Selection, Genetic, Statistical Distributions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2K
Top 0.1%
Top 0.1%
Top 1%
hybrid