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The Causes and Consequences of Genetic Interactions (Epistasis).
Annual review of genomics and human genetics (Print), 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
Júlia Domingo +2 more
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Epistasis arises from shifting the rate-limiting step during enzyme evolution of a β-lactamase
Nature CatalysisEpistasis, the non-additive effect of mutations, can provide combinatorial improvements to enzyme activity that substantially exceed the gains from individual mutations. Yet the molecular mechanisms of epistasis remain elusive, undermining our ability to
Christopher Fröhlich +7 more
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Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020Epistasis learning, which is aimed at detecting associations between multiple Single Nucleotide Polymorphisms (SNPs) and complex diseases, has gained increasing attention in genome wide association studies. Although much work has been done on mapping the
Yingxia Sun +5 more
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Dynamics in Epistasis Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018Finding regulatory relationships between genes, including the direction and nature of influence between them, is a fundamental challenge in the field of molecular genetics. One classical approach to this problem is epistasis analysis. Broadly speaking, epistasis analysis infers the regulatory relationships between a pair of genes in a genetic pathway ...
Aseel Awdeh +3 more
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New Horizons for Dissecting Epistasis in Crop Quantitative Trait Variation.
Annual Review of Genetics, 2020Uncovering the genes, variants, and interactions underlying crop diversity is a frontier in plant genetics. Phenotypic variation often does not reflect the cumulative effect of individual gene mutations.
Sebastian Soyk +2 more
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Epistasis Analysis Using an Improved Fuzzy C-Means-Based Entropy Approach
IEEE transactions on fuzzy systems, 2020Epistasis detection is vital to determining disease susceptibility in the human genome. With rapid advances in technology, multifactor dimensionality reduction (MDR) has become an effective algorithm for epistasis detection.
Cheng-Hong Yang +2 more
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Epistasis in Neuropsychiatric Disorders
Trends in Genetics, 2017The contribution of epistasis to human disease remains unclear. However, several studies have now identified epistatic interactions between common variants that increase the risk of a neuropsychiatric disorder, while there is growing evidence that genetic interactions contribute to the pathogenicity of rare, multigenic copy-number variants (CNVs) that ...
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Symbolic Modeling of Epistasis
Human Heredity, 2007The workhorse of modern genetic analysis is the parametric linear model. The advantages of the linear modeling framework are many and include a mathematical understanding of the model fitting process and ease of interpretation. However, an important limitation is that linear models make assumptions about the nature of the data being modeled.
Jiang Gui +5 more
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Science Translational Medicine, 2011
Mutations in human immunodeficiency virus genes work together to heighten drug resistance.
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Mutations in human immunodeficiency virus genes work together to heighten drug resistance.
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Epistasis and intramolecular networks in protein evolution.
Current Opinion in Structural Biology, 2021C. Miton, Karol Buda, N. Tokuriki
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