2004
DOI: 10.1534/genetics.102.010959
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Detecting Selection in Noncoding Regions of Nucleotide Sequences

Abstract: We present a maximum-likelihood method for examining the selection pressure and detecting positive selection in noncoding regions using multiple aligned DNA sequences. The rate of substitution in noncoding regions relative to the rate of synonymous substitution in coding regions is modeled by a parameter . When a site in a noncoding region is evolving neutrally ϭ 1, while Ͼ 1 indicates the action of positive selection, and Ͻ 1 suggests negative selection. Using a combined model for the evolution of noncoding a… Show more

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Cited by 120 publications
(123 citation statements)
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“…The prolactin promoter region (chr6: 22,303,070-22,303,383 on human GRCh37 assembly) was tested for evidence of positive selection using likelihood-based models implemented in an updated version of the software EvoNC (35) Fig. 6.…”
Section: Methodsmentioning
confidence: 99%
“…The prolactin promoter region (chr6: 22,303,070-22,303,383 on human GRCh37 assembly) was tested for evidence of positive selection using likelihood-based models implemented in an updated version of the software EvoNC (35) Fig. 6.…”
Section: Methodsmentioning
confidence: 99%
“…Ref. 25). For each model, we took the best of 10 fits starting from random points, thus guarding against local maxima of the likelihood function.…”
Section: Mmp20 Hsd17b4 Ushbp1mentioning
confidence: 99%
“…1b). The fitted parameters include ζ (zeta), the ratio of substitution rates in the promoter region to those in the associated intronic sequences 25 ; ζ is analogous to the ratio of substitution rates at nonsynonymous sites to those at synonymous sites in coding sequences. The null model constrains ζ to be less than or equal 1, representing negative or no selection on the promoter region, whereas the alternate model allows ζ to be greater than 1 on the human lineage, representing positive selection on the promoter region.…”
mentioning
confidence: 99%
“…Another is Fay and Wu's H statistic, which was employed by Rockman et al to detect positive selection in the regulatory region of PDYN, an endogenous opiate receptor ligand [13]. One molecular evolutionary test that uses non-coding sequence is the approach proposed by Wong and Nielsen to detect positive selection in the non-coding regions of a gene using both its coding and non-coding sequence [14]. The motivating idea behind these and many other studies is that departures from the neutral model of molecular evolution are likely to indicate natural selection.…”
Section: Introductionmentioning
confidence: 99%