Epistasis

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epistasis

[ə′pis·tə·səs]
(genetics)
The suppression of the effect of one gene by another.
(medicine)
A checking or stoppage of a hemorrhage or other discharge.
(pathology)
A scum or film of substance floating on the surface of urine.

Epistasis

 

the interaction of two nonallelic genes (that is, genes that are at different loci) whereby one of them, called the epistatic gene, suppresses the effect of the other one, called the hypostatic gene. Phenotypically, epistasis is manifested as a deviation from the segregation that would be expected in digenetic inheritance; in this case, however, there is no violation of Mendel’s laws, inasmuch as the alleles of the interacting genes are distributed in complete conformity to the law of independent assortment, or combination.

References in periodicals archive ?
A strongly significant line x gene interaction was detected for ADF content.
Recently, interest has focused on the effects of genetic correlations on heritability estimates and the partitioning of gene interactions between additive and nonadditive components of variance as well (Willis and Orr 1993; Cheverud and Routman 1995; Whitlock et al.
Gene interactions affecting mechanosensory transduction in Caenorhabditis elegans.
l = Dominance x dominance type of gene interaction = mP1+mP2-2mF1+4mF2-4mBC1-4mBC2, and their variances:
It does, however, allow one to illustrate that epistatic (nonlinear) gene interactions are essential for the evolution of epigenetic stability.
In the model presented here, I introduce the concept of LBV and explore the behavior of this measure in a meta-population with one form of gene interaction, additive-by-additive epistasis.
Inference of regulatory gene interactions from expression data using three-way mutual information: John Watkinson, Kuo-ching Liang, Xiaodong Wang, Tian Zheng and Dimitris Anastassiou
We recognize that additive gene effects, as well as dominance effects and complementary gene interactions, are important for improving alfalfa forage yields.
The role of epistatic gene interactions in the response to selection and the evolution of evolvability.
Modeling genetic architecture: A multilinear theory of gene interaction.
Developing and modeling gene interaction networks can be quantitative and provide direct dose-response data for use in risk assessment.