Literature DB >> 10425922

An experimental method for evaluating the contribution of deleterious mutations to quantitative trait variation.

J K Kelly1.   

Abstract

Unconditionally deleterious mutations could be an important source of variation in quantitative traits. Deleterious mutations should be rare (segregating at low frequency in the population) and at least partially recessive. In this paper, I suggest that the contribution of rare, partially recessive alleles to quantitative trait variation can be assessed by comparing the relative magnitudes of two genetic variance components: the covariance of additive and homozygous dominance effects (Cad) and the additive genetic variance (Va). If genetic variation is due to rare recessives, then the ratio of Cad to Va should be equal to or greater than 1. In contrast, Cad/Va should be close to zero or even negative if variation is caused by alleles at intermediate frequencies. The ratio of Cad to Va can be estimated from phenotypic comparisons between inbred and outbred relatives, but such estimates are likely to be highly imprecise. Selection experiments provide an alternative estimator for Cad/Va, one with favourable statistical properties. When combined with other biometrical analyses, the ratio test can provide an incisive test of the deleterious mutation model.

Mesh:

Year:  1999        PMID: 10425922     DOI: 10.1017/s0016672399003766

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


  17 in total

1.  Deleterious mutations and the genetic variance of male fitness components in Mimulus guttatus.

Authors:  John K Kelly
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

Review 2.  Mutation and the evolution of ageing: from biometrics to system genetics.

Authors:  Kimberly A Hughes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

3.  The effect of antagonistic pleiotropy on the estimation of the average coefficient of dominance of deleterious mutations.

Authors:  B Fernández; A García-Dorado; A Caballero
Journal:  Genetics       Date:  2005-08-22       Impact factor: 4.562

4.  Testing the rare-alleles model of quantitative variation by artificial selection.

Authors:  John K Kelly
Journal:  Genetica       Date:  2007-07-03       Impact factor: 1.082

5.  The effects of age and environment on the expression of inbreeding depression in Eucalyptus globulus.

Authors:  J Costa E Silva; C Hardner; P Tilyard; B M Potts
Journal:  Heredity (Edinb)       Date:  2011-01-12       Impact factor: 3.821

6.  Explaining the heritability of an ecologically significant trait in terms of individual quantitative trait loci.

Authors:  Alison G Scoville; Young Wha Lee; John H Willis; John K Kelly
Journal:  Biol Lett       Date:  2011-06-08       Impact factor: 3.703

Review 7.  Causes of natural variation in fitness: evidence from studies of Drosophila populations.

Authors:  Brian Charlesworth
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-08       Impact factor: 11.205

8.  Evaluating the genetic architecture of quantitative traits via selection followed by inbreeding.

Authors:  Robert J Dugand; W Jason Kennington; Joseph L Tomkins
Journal:  Heredity (Edinb)       Date:  2019-04-09       Impact factor: 3.821

9.  An experimental test of the mutation-selection balance model for the maintenance of genetic variance in fitness components.

Authors:  Nathaniel P Sharp; Aneil F Agrawal
Journal:  Proc Biol Sci       Date:  2018-11-07       Impact factor: 5.349

10.  Connecting QTLS to the g-matrix of evolutionary quantitative genetics.

Authors:  John K Kelly
Journal:  Evolution       Date:  2008-12-12       Impact factor: 3.694

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