Results 51 to 60 of about 2,663,291 (229)

Estimation of epistasis and genetic components of variance for different traits in cucumber (Cucumis sativus)

open access: yesThe 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
doaj   +1 more source

Statistical Modeling of Epistasis and Linkage Decay using Logic Regression [PDF]

open access: yes, 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
core   +2 more sources

The interplay of additivity, dominance, and epistasis on fitness in a diploid yeast cross

open access: yesNature Communications, 2022
In diploid species, genetic loci can show additive, dominance, and epistatic effects. To characterize the contributions of these different types of genetic effects to heritable traits, we use a double barcoding system to generate and phenotype a panel of
Takeshi Matsui   +6 more
semanticscholar   +1 more source

Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast. [PDF]

open access: yes, 2016
Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive.
Bloom, Joshua S   +4 more
core   +3 more sources

Significance of linkage disequilibrium and epistasis on genetic variances in noninbred and inbred populations

open access: yesBMC 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
doaj   +1 more source

Genetic determinants and an epistasis of LILRA3 and HLA-B*52 in Takayasu arteritis

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2018
Significance Takayasu arteritis (TAK) is a systemic vasculitis with unknown etiology. We identified four unreported susceptibility genes to TAK through genome-wide association studies. We successfully fine-mapped HLA associations and showed that HLA-G is
C. Terao   +40 more
semanticscholar   +1 more source

Evolving concurrent Petri net models of epistasis [PDF]

open access: yes, 2010
A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational models of concurrent processes.
Beretta, Lorenzo, Mayo, Michael
core   +1 more source

A strategy to apply quantitative epistasis analysis on developmental traits

open access: yesBMC 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
doaj   +1 more source

Evolutionary footprint of epistasis. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits

open access: yesbioRxiv, 2016
Epistasis, commonly defined as the interaction between multiple genes, is an important genetic component underlying phenotypic variation. Many statistical methods have been developed to model and identify epistatic interactions between genetic variants ...
Lorin Crawford   +3 more
semanticscholar   +1 more source

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