Results 101 to 110 of about 58,973 (229)
Reconstructing a metazoan genetic pathway with transcriptome-wide epistasis measurements [PDF]
Proceedings of the National Academy of Sciences, 2017 AbstractRNA-seq is commonly used to identify genetic modules that respond to perturbations. In single cells, transcriptomes have been used as phenotypes, but this concept has not been applied to whole-organism RNA-seq. Linear models can quantify expression effects of individual mutants and identify epistatic effects in double mutants.
Barbara J. Wold +5 more
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The Plant Genome, Volume 18, Issue 2, June 2025.Abstract Cannabis (Cannabis sativa L.), once sidelined by decades of prohibition, has now gained recognition as a multifaceted and promising plant in both medical research and commercial applications following its recent legalization. This study leverages a genome‐wide association study (GWAS) on 174 drug‐type Cannabis accessions from the legal ...
Maxime de Ronne, Davoud Torkamaneh
wiley +1 more source
From Classical Genetics to Quantitative Genetics to Systems Biology: Modeling Epistasis
PLoS Genetics, 2008 Gene expression data has been used in lieu of phenotype in both classical and quantitative genetic settings. These two disciplines have separate approaches to measuring and interpreting epistasis, which is the interaction between alleles at different loci. We propose a framework for estimating and interpreting epistasis from a classical experiment that
David L. Aylor, Zhao-Bang Zeng
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Clinical Implications of Digenic Inheritance and Epistasis in Primary Immunodeficiency Disorders
Frontiers in Immunology, 2018 The existence of epistasis in humans was first predicted by Bateson in 1909. Epistasis describes the non-linear, synergistic interaction of two or more genetic loci, which can substantially modify disease severity or result in entirely new phenotypes ...
Rohan Ameratunga +9 more
doaj +1 more source
Multivariate Functional Regression Models for Epistasis Analysis [PDF]
arXiv, 2015 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 hold the key to understanding the complicated genetic structure of the complex diseases.
arxiv
The Plant Genome, Volume 18, Issue 2, June 2025.Abstract Persian walnut (Juglans regia L.) is a widespread cultivated nut tree species in temperate regions. Advances in genomic tools, such as the high‐density Axiom J. regia 700K single nucleotide polymorphism (SNP) genotyping array, enable the exploration of genomic prediction (GP) for this crop.
Anthony Bernard +4 more
wiley +1 more source
Evolution of robustness in digital organisms [PDF]
, 2004 We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genomes adjust to the harsh mutational environment, the mean effect of single Imitations decreases, up until the point where a sizable fraction (up to 30% in ...
Adami, Christoph, Edlund, Jeffrey A.
core +1 more source
Genomic selection: Essence, applications, and prospects
The Plant Genome, Volume 18, Issue 2, June 2025.Abstract Genomic selection (GS) emerged as a key part of the solution to ensure the food supply for the growing human population thanks to advances in genotyping and other enabling technologies and improved understanding of the genotype–phenotype relationship in quantitative genetics.
Diana M. Escamilla +8 more
wiley +1 more source
Epistasis dominates the genetic architecture of Drosophila quantitative traits [PDF]
Proceedings of the National Academy of Sciences, 2012 Epistasis—nonlinear genetic interactions between polymorphic loci—is the genetic basis of canalization and speciation, and epistatic interactions can be used to infer genetic networks affecting quantitative traits. However, the role that epistasis plays in the genetic architecture of quantitative traits is controversial.
Dianhui Zhu +24 more
openaire +3 more sources
Epistasis in a model of molecular signal transduction. [PDF]
PLoS Computational Biology, 2011 Biological functions typically involve complex interacting molecular networks, with numerous feedback and regulation loops. How the properties of the system are affected when one, or several of its parts are modified is a question of fundamental interest,
Alain Pumir, Boris Shraiman
doaj +1 more source