Results 81 to 90 of about 55,446 (204)

Nonparametric method for genomics-based prediction of performance of quantitative traits involving epistasis in plant breeding. [PDF]

open access: yesPLoS ONE, 2012
Genomic selection (GS) procedures have proven useful in estimating breeding value and predicting phenotype with genome-wide molecular marker information.
Xiaochun Sun, Ping Ma, Rita H Mumm
doaj   +1 more source

Quantitative genetic analysis reveals potential to genetically improve fruit yield through selection in Solanum lycopersicum × Solanum pimpinellifolium crosses under humid condition

open access: yesAgrosystems, Geosciences &Environment, Volume 8, Issue 2, June 2025.
Abstract Despite the enormous achievements recorded in tomato (Solanum lycopersicum L.) breeding using traditional and molecular approaches, most cultivars find humid environments highly unfavorable. As a result, fruit production cannot meet the rapidly increasing global demand.
Chikezie Onuora Ene   +6 more
wiley   +1 more source

Epistasis correlates to genomic complexity [PDF]

open access: yesProceedings of the National Academy of Sciences, 2006
Whether systematic genetic interactions (epistasis) occur at the genomic scale remains a challenging topic in evolutionary biology. Epistasis should make a significant contribution to variation in complex traits and influence the evolution of genetic systems as sex, diploidy, dominance, or the contamination of genomes with deleterious mutations.
Sanjuán, Rafael, Elena, Santiago F.
openaire   +4 more sources

A quantitative comparison of the deleteriousness of missense and nonsense mutations using the structurally resolved human protein interactome

open access: yesProtein Science, Volume 34, Issue 6, June 2025.
Abstract The complex genotype‐to‐phenotype relationships in Mendelian diseases can be elucidated by mutation‐induced disturbances to the networks of molecular interactions (interactomes) in human cells. Missense and nonsense mutations cause distinct perturbations within the human protein interactome, leading to functional and phenotypic effects with ...
Ting‐Yi Su, Yu Xia
wiley   +1 more source

Synergistic epistasis among cancer drivers can rescue early tumors from the accumulation of deleterious passengers.

open access: yesPLoS Computational Biology
Epistasis among driver mutations is pervasive and explains relevant features of cancer, such as differential therapy response and convergence towards well-characterized molecular subtypes.
Carla Alejandre   +2 more
doaj   +1 more source

Discovery of major QTL and a massive haplotype associated with cannabinoid biosynthesis in drug‐type Cannabis

open access: yesThe 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

On Epistasis

open access: yesCOMPUTING AND INFORMATICS, 1995
In this note, we compare two previously introduced notions  of epistasis and prove that they are essentially equivalent.
van Hove, H., Verschoren, Alain
openaire   +2 more sources

Evaluating Methods for Modeling Epistasis Networks with Application to Head and Neck Cancer

open access: yesCancer Informatics, 2015
Epistasis helps to explain how multiple single-nucleotide polymorphisms (SNPs) interact to cause disease. A variety of tools have been developed to detect epistasis.
Rajesh Talluri, Sanjay Shete
doaj   +1 more source

Privacy-preserving decision tree for epistasis detection

open access: yesCybersecurity, 2019
The interaction between gene loci, namely epistasis, is a widespread biological genetic phenomenon. In genome-wide association studies(GWAS), epistasis detection of complex diseases is a major challenge. Although many approaches using statistics, machine
Qingfeng Chen, Xu Zhang, Ruchang Zhang
doaj   +1 more source

Effects of Epistasis and Pleiotropy on Fitness Landscapes

open access: yes, 2013
The factors that influence genetic architecture shape the structure of the fitness landscape, and therefore play a large role in the evolutionary dynamics. Here the NK model is used to investigate how epistasis and pleiotropy -- key components of genetic
A Dawid   +15 more
core   +1 more source

Home - About - Disclaimer - Privacy