Results 31 to 40 of about 50,815 (199)
Statistical Modeling of Epistasis and Linkage Decay using Logic Regression [PDF]
, 2008 Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized ...
Jean-Luc Jannink +4 more
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Influence of epistasis on response to genomic selection using complete sequence data
Genetics Selection Evolution, 2017 Background The effect of epistasis on response to selection is a highly debated topic. Here, we investigated the impact of epistasis on response to sequence-based selection via genomic best linear prediction (GBLUP) in a regime of strong non-symmetrical ...
Natalia S. Forneris +3 more
doaj +1 more source
Dominance, Epistasis and the Genetics of Postzygotic Isolation [PDF]
Genetics, 2000 AbstractThe sterility and inviability of species hybrids can be explained by between-locus “Dobzhansky-Muller” incompatibilities: alleles that are fit on their “normal” genetic backgrounds sometimes lower fitness when brought together in hybrids.
M, Turelli, H A, Orr
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Functional Regression Models for Epistasis Analysis of Multiple Quantitative Traits.
PLoS Genetics, 2016 To date, most genetic analyses of phenotypes have focused on analyzing single traits or analyzing each phenotype independently. However, joint epistasis analysis of multiple complementary traits will increase statistical power and improve our ...
Futao Zhang +4 more
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The Indian Journal of Agricultural Sciences, 2021 To estimate epistasis and components of genetic variance a study was carried out during 2016 and 2017 at Experimental Research Farm of Department of Vegetable Science, Dr YSP UH & F Nauni, Solan, (HP) and data were recorded for different qualitative and
REENA KUMARI, RAMESH KUMAR, MEENU GUPTA
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Learning genetic epistasis using Bayesian network scoring criteria [PDF]
BMC Bioinformatics, 2011 Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have been developed for learning epistatic relationships from data. A well-known combinatorial method that has been successfully applied for detecting epistasis is Multifactor Dimensionality ...
Jiang, X +3 more
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BMC Genomics, 2022 Background The influence of linkage disequilibrium (LD), epistasis, and inbreeding on genotypic variance continues to be an important area of investigation in genetics and evolution.
José Marcelo Soriano Viana +1 more
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On the relationship between epistasis and genetic variance heterogeneity [PDF]
Journal of Experimental Botany, 2017 AbstractEpistasis and genetic variance heterogeneity are two non-additive genetic inheritance patterns that are often, but not always, related. Here we use theoretical examples and empirical results from analyses of experimental data to illustrate the connection between the two.
Forsberg, Simon, Carlborg, Örjan
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A strategy to apply quantitative epistasis analysis on developmental traits
BMC Genetics, 2017 Background Genetic interactions are keys to understand complex traits and evolution. Epistasis analysis is an effective method to map genetic interactions. Large-scale quantitative epistasis analysis has been well established for single cells.
Marta K. Labocha +3 more
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Evolutionary footprint of epistasis. [PDF]
PLoS Computational Biology, 2018 Variation of an inherited trait across a population cannot be explained by additive contributions of relevant genes, due to epigenetic effects and biochemical interactions (epistasis).
Gabriele Pedruzzi +2 more
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