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 ?
This is most certainly true, but in light of our limited understanding of gene interaction networks, this appears to be a reasonable choice for a first step in network identification.
We will refer to this method as the TAO-Gen (Theoretical Algorithm for identifying Optimal GENe interaction networks) algorithm.
In this article we hypothesize a gene interaction network defining the quantitative role of TCDD in altering retinoid signaling based on the current available literature.
Pharmacogenomics is the whole genome application of pharmacogenetics, which examines the single gene interactions with drugs.
The resulting data were analyzed using powerful computational methods that integrate data from several sources to identify networks of gene interactions altered in individuals susceptible to obesity.
Similar genes are sorted into groups, or clusters, that provide insights into gene interactions and thus help to explain underlying biological processes.
Haplotyping enables researchers to draw significant conclusions regarding gene interactions and their combined effect on common diseases and drug response.
Investigators will explore multiple gene interactions and genetic factors working in concert with environmental factors such as nutrition and exposures to chemicals.
The collaboration will employ the companies' shared strategy of using systems biology to elucidate complex gene interactions in a human physiological network with the goal of discovering novel targets and strategies for compound lead generation.
By studying gene interactions that can prevent such cell death, an important clue toward resolving this fundamental problem can be gained.
In addition, MMC will report predictive relationships or rules describing gene interactions that will help to identify a regulatory network related to bone-growth mechanisms.