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The Causes and Consequences of Genetic Interactions (Epistasis).

Annual Review of Genomics and Human Genetics, 2019
The same mutation can have different effects in different individuals. One important reason for this is that the outcome of a mutation can depend on the genetic context in which it occurs. This dependency is known as epistasis. In recent years, there has
Júlia Domingo   +2 more
semanticscholar   +4 more sources

Pleiotropy, epistasis and the genetic architecture of quantitative traits.

Nature Reviews Genetics
Pleiotropy (whereby one genetic polymorphism affects multiple traits) and epistasis (whereby non-linear interactions between genetic polymorphisms affect the same trait) are fundamental aspects of the genetic architecture of quantitative traits.
T. Mackay, R. Anholt
semanticscholar   +3 more sources

W-Test for Genetic Epistasis Testing

2021
The genetic epistasis effect has been widely acknowledged as an essential contributor to genetic variation in complex diseases. In this chapter, we introduce a powerful and efficient statistical method, called W-test, for genetic epistasis testing.
Rui Sun, Haoyi Weng, Maggie Haitian Wang
openaire   +3 more sources

On the Partitioning of Genetic Variance with Epistasis

2014
The decomposition of genetic variance into additive, dominance, and epistatic components is a common procedure in quantitative genetics. Yet, the interpretation of this variance partition is not trivial, especially concerning nonadditive components.
José M. Álvarez-Castro   +2 more
openaire   +3 more sources

Epistasis in genetic algorithms revisited

Information Sciences, 1997
Abstract Davidor epistasis is first analyzed to give its meaning a better understanding. Then, a generalization is introduced to investigate interactions between one or more positions on a chromosome, allowing a more accurate analysis of fitness landscape.
openaire   +2 more sources

Epistasis for real encoding in genetic algorithms

1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96, 2002
Epistasis is a well known tool introduced by Davidor (1991) to understand and predict the performance of a genetic algorithm using binary encoding. The meaning of variance of epistasis is analyzed using Walsh basis; it is established that this variance can be viewed as a measure of the quality of a linear approximation.
M. Slimane, G. Venturini, S. Rochet
openaire   +2 more sources

On Epistasis for Measure of Genetic Algorithm Hardnesss

NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society, 2006
Aiming at the essence of epistasis and its significance in measuring genetic algorithm hardness, a theoretical analysis and a practical research are processed. Based on the analysis of the Euclidean normalization of epistasis variance and the extent of epistasis coefficient, which reflect the extent of epistasis of genetic algorithms, two theorems are ...
Baida Qu, Baoguo Xu
openaire   +2 more sources

Detecting genetic epistasis by differential departure from independence

Molecular Genetics and Genomics, 2022
Countering prior beliefs that epistasis is rare, genomics advancements suggest the other way. Current practice often filters out genomic loci with low variant counts before detecting epistasis. We argue that this practice is far from optimal because it can throw away strong epistatic patterns.
Ruby Sharma   +3 more
openaire   +2 more sources

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