Literature DB >> 15219157

Effects on phenotypic variability of directional selection arising through genetic differences in residual variability.

William G Hill1, Xu-Sheng Zhang.   

Abstract

In standard models of quantitative traits, genotypes are assumed to differ in mean but not variance of the trait. Here we consider directional selection for a quantitative trait for which genotypes also confer differences in variability, viewed either as differences in residual phenotypic variance when individual loci are concerned or as differences in environmental variability when the whole genome is considered. At an individual locus with additive effects, the selective value of the increasing allele is given by ia/sigma + 1/2 ixb/sigma2, where i is the selection intensity, x is the standardized truncation point, sigma2 is the phenotypic variance, and a/sigma and b/sigma2 are the standardized differences in mean and variance respectively between genotypes at the locus. Assuming additive effects on mean and variance across loci, the response to selection on phenotype in mean is isigma2(Am)/sigma + 1/2 ixcov(Amv)/sigma2 and in variance is icov(Amv)/sigma + 1/2 ixsigma2(Av)/sigma2, where sigma2(Am) is the (usual) additive genetic variance of effects of genes on the mean, sigma2(Av) is the corresponding additive genetic variance of their effects on the variance, and cov(Amv) is the additive genetic covariance of their effects. Changes in variance also have to be corrected for any changes due to gene frequency change and for the Bulmer effect, and relevant formulae are given. It is shown that effects on variance are likely to be greatest when selection is intense and when selection is on individual phenotype or within family deviation rather than on family mean performance. The evidence for and implications of such variability in variance are discussed.

Mesh:

Year:  2004        PMID: 15219157     DOI: 10.1017/s0016672304006640

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  30 in total

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Authors:  Karin Meyer; Mark Kirkpatrick
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

Review 2.  Developments in statistical analysis in quantitative genetics.

Authors:  Daniel Sorensen
Journal:  Genetica       Date:  2008-08-21       Impact factor: 1.082

3.  Additive, epistatic, and environmental effects through the lens of expression variability QTL in a twin cohort.

Authors:  Gang Wang; Ence Yang; Candice L Brinkmeyer-Langford; James J Cai
Journal:  Genetics       Date:  2013-12-02       Impact factor: 4.562

4.  Selection for environmental variation: a statistical analysis and power calculations to detect response.

Authors:  Noelia Ibáñez-Escriche; Daniel Sorensen; Rasmus Waagepetersen; Agustín Blasco
Journal:  Genetics       Date:  2008-10-01       Impact factor: 4.562

5.  Heritable environmental variance causes nonlinear relationships between traits: application to birth weight and stillbirth of pigs.

Authors:  Herman A Mulder; William G Hill; Egbert F Knol
Journal:  Genetics       Date:  2015-01-27       Impact factor: 4.562

6.  Heritable Micro-environmental Variance Covaries with Fitness in an Outbred Population of Drosophila serrata.

Authors:  Jacqueline L Sztepanacz; Katrina McGuigan; Mark W Blows
Journal:  Genetics       Date:  2017-06-22       Impact factor: 4.562

Review 7.  Drosophila bristles and the nature of quantitative genetic variation.

Authors:  Trudy F Mackay; Richard F Lyman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

8.  Linear and generalized linear models for the detection of QTL effects on within-subject variability.

Authors:  Dörte Wittenburg; Volker Guiard; Friedrich Liese; Norbert Reinsch
Journal:  Genet Res       Date:  2007-08       Impact factor: 1.588

9.  Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models.

Authors:  Lars Rönnegård; Majbritt Felleki; Freddy Fikse; Herman A Mulder; Erling Strandberg
Journal:  Genet Sel Evol       Date:  2010-03-19       Impact factor: 4.297

10.  Spontaneous mutations decrease sensitivity of gene expression to random environmental variation in Caenorhabditis elegans.

Authors:  Charles F Baer; Dee R Denver
Journal:  PLoS One       Date:  2010-01-18       Impact factor: 3.240

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