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Autism Spectrum Disorder: Genetic Mechanisms and Inheritance Patterns. [PDF]
Genes (Basel)La Monica I +6 more
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Variations and predictability of epistasis on an intragenic fitness landscape
Baheti S, Raj N, Saini S.
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W-Test for Genetic Epistasis Testing
2021The 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
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The Causes and Consequences of Genetic Interactions (Epistasis)
Annual Review of Genomics and Human Genetics, 2019The 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 been a concerted effort to quantify the extent of pairwise and higher-order genetic interactions ...
Ben Lehner +3 more
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On the Partitioning of Genetic Variance with Epistasis
2014The 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
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Epistasis in genetic algorithms revisited
Information Sciences, 1997Abstract 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.
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Effect of epistasis on the performance of genetic algorithms
Journal of Zhejiang University-SCIENCE A, 2018In the field of genetics, it is well known that a specific genetic behavior may be influenced by more than one gene. There is a similar concept in genetic algorithms (GAs), called epistasis, which is the interaction between genes. This study demonstrates that, in spite of what is generally assumed, GAs are not an efficient optimization tool.
Sajad Jafari +4 more
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Epistasis for real encoding in genetic algorithms
1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96, 2002Epistasis 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
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On Epistasis for Measure of Genetic Algorithm Hardnesss
NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society, 2006Aiming 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
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Detecting genetic epistasis by differential departure from independence
Molecular Genetics and Genomics, 2022Countering 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
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