Literature DB >> 20516493

Directionality of epistasis in a murine intercross population.

Mihaela Pavlicev1, Arnaud Le Rouzic, James M Cheverud, Günter P Wagner, Thomas F Hansen.   

Abstract

Directional epistasis describes a situation in which epistasis consistently increases or decreases the effect of allele substitutions, thereby affecting the amount of additive genetic variance available for selection in a given direction. This study applies a recent parameterization of directionality of epistasis to empirical data. Data stems from a QTL mapping study on an intercross between inbred mouse (Mus musculus) strains LG/J and SM/J, originally selected for large and small body mass, respectively. Results show a negative average directionality of epistasis for body-composition traits, predicting a reduction in additive allelic effects and in the response to selection for increased size. Focusing on average modification of additive effect of single loci, we find a more complex picture, whereby the effects of some loci are enhanced consistently across backgrounds, while effects of other loci are decreased, potentially contributing to either enhancement or reduction of allelic effects when selection acts at single loci. We demonstrate and discuss how the interpretation of the overall measurement of directionality depends on the complexity of the genotype-phenotype map. The measure of directionality changes with the power of scale in a predictable way; however, its expected effect with respect to the modification of additive genetic effects remains constant.

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Year:  2010        PMID: 20516493      PMCID: PMC2927772          DOI: 10.1534/genetics.110.118356

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  46 in total

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Authors:  T F Hansen; G P Wagner
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Authors:  T F Hansen; G P Wagner
Journal:  Genetics       Date:  2001-05       Impact factor: 4.562

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Authors:  Joachim Hermisson; Thomas F Hansen; Günter P Wagner
Journal:  Am Nat       Date:  2003-05-02       Impact factor: 3.926

4.  The correlation between relatives in a random mating population.

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Journal:  Proc R Soc Lond B Biol Sci       Date:  1954-12-15

5.  Epistasis of quantitative trait loci under different gene action models.

Authors:  Rong-Cai Yang
Journal:  Genetics       Date:  2004-07       Impact factor: 4.562

6.  Pleiotropic effects on mandibular morphology II: differential epistasis and genetic variation in morphological integration.

Authors:  James M Cheverud; Thomas H Ehrich; Ty T Vaughn; Safina F Koreishi; Robin B Linsey; L Susan Pletscher
Journal:  J Exp Zool B Mol Dev Evol       Date:  2004-09-15       Impact factor: 2.656

7.  Effects of genetic drift on variance components under a general model of epistasis.

Authors:  N H Barton; Michael Turelli
Journal:  Evolution       Date:  2004-10       Impact factor: 3.694

8.  Mapping quantitative trait loci for murine growth: a closer look at genetic architecture.

Authors:  T T Vaughn; L S Pletscher; A Peripato; K King-Ellison; E Adams; C Erikson; J M Cheverud
Journal:  Genet Res       Date:  1999-12       Impact factor: 1.588

9.  Genetic architecture of adiposity in the cross of LG/J and SM/J inbred mice.

Authors:  J M Cheverud; T T Vaughn; L S Pletscher; A C Peripato; E S Adams; C F Erikson; K J King-Ellison
Journal:  Mamm Genome       Date:  2001-01       Impact factor: 2.957

10.  Evolvability and genetic constraint in Dalechampia blossoms: components of variance and measures of evolvability.

Authors:  Thomas F Hansen; Christophe Pélabon; W Scott Armbruster; Matthew L Carlson
Journal:  J Evol Biol       Date:  2003-07       Impact factor: 2.411

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  7 in total

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Authors:  Mihaela Pavlicev; James M Cheverud; Günter P Wagner
Journal:  Proc Biol Sci       Date:  2010-11-24       Impact factor: 5.349

2.  Evolution of pleiotropy: epistatic interaction pattern supports a mechanistic model underlying variation in genotype-phenotype map.

Authors:  Mihaela Pavlicev; Elizabeth A Norgard; Gloria L Fawcett; James M Cheverud
Journal:  J Exp Zool B Mol Dev Evol       Date:  2011-04-01       Impact factor: 2.656

3.  Using known QTLs to detect directional epistatic interactions.

Authors:  Montgomery Slatkin; Mark Kirkpatrick
Journal:  Genet Res (Camb)       Date:  2012-02       Impact factor: 1.588

4.  Current applications of models of genetic effects with interactions across the genome.

Authors:  José M Alvarez-Castro
Journal:  Curr Genomics       Date:  2012-04       Impact factor: 2.236

5.  Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice.

Authors:  Anna L Tyler; Bo Ji; Daniel M Gatti; Steven C Munger; Gary A Churchill; Karen L Svenson; Gregory W Carter
Journal:  Genetics       Date:  2017-06       Impact factor: 4.562

6.  Predicting the purebred-crossbred genetic correlation from the genetic variance components in the parental lines.

Authors:  Pascal Duenk; Piter Bijma; Yvonne C J Wientjes; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2021-02-04       Impact factor: 4.297

7.  Estimating directional epistasis.

Authors:  Arnaud Le Rouzic
Journal:  Front Genet       Date:  2014-07-14       Impact factor: 4.599

  7 in total

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