Results 31 to 40 of about 25,247 (211)

Genetic Dissection of Cytonuclear Epistasis in Line Crosses [PDF]

Genetics, 2007
Abstract Dissection of cytonuclear interactions is fundamentally important for understanding the genetic architecture of complex traits. Here we propose a mating design based on reciprocal crosses and extend the existing QTL mapping method to evaluate the contribution of cytoplasm and QTL × cytoplasm interactions to the phenotypic ...
Zaixiang, Tang, Xuefeng, Wang, Zhiqiu, Hu, Zefeng, Yang, Chenwu, Xu   +4 more
openaire   +2 more sources

Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network

BMC Bioinformatics, 2019
Background Mining epistatic loci which affects specific phenotypic traits is an important research issue in the field of biology. Bayesian network (BN) is a graphical model which can express the relationship between genetic loci and phenotype. Until now,
Yang Guo, Zhiman Zhong, Chen Yang, Jiangfeng Hu, Yaling Jiang, Zizhen Liang, Hui Gao, Jianxiao Liu   +7 more
doaj   +1 more source

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

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, Antonio Augusto Franco Garcia   +1 more
doaj   +1 more source

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, Wang Yuan, Boanerges Aleman-Meza, Weiwei Zhong   +3 more
doaj   +1 more source

Mechanistic causes of sign epistasis and its applications

Frontiers in Genetics
Mapping genetic variations to phenotypic variations poses a significant challenge, as mutations often combine unexpectedly, diverging from assumed additive effects even in the same environment.
Jinqiu Zhang, Feiyu Chen, Feiyu Chen, Xianghua Li, Xianghua Li, Xianghua Li   +5 more
doaj   +1 more source

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, Ayuna Barlukova, Igor M Rouzine   +2 more
doaj   +1 more source

Multiallelic epistatic model for an out-bred cross and mapping algorithm of interactive quantitative trait loci

BMC Plant Biology, 2011
Background Genetic mapping has proven to be powerful for studying the genetic architecture of complex traits by characterizing a network of the underlying interacting quantitative trait loci (QTLs).
Tong Chunfa, Zhang Bo, Wang Zhong, Xu Meng, Pang Xiaoming, Si Jingna, Huang Minren, Wu Rongling   +7 more
doaj   +1 more source

Comparison of the Accuracy of Epistasis and Haplotype Models for Genomic Prediction of Seven Human Phenotypes

Biomolecules, 2023
The accuracy of predicting seven human phenotypes of 3657–7564 individuals using global epistasis effects was evaluated and compared to the accuracy of haplotype genomic prediction using 380,705 SNPs and 10-fold cross-validation studies.
Zuoxiang Liang, Dzianis Prakapenka, Yang Da   +2 more
doaj   +1 more source

Epistasis and the genetics of human diseases

Comptes Rendus. Biologies, 2005
Epistasis or modifier genes, that is, gene-gene interactions of non-allelic partners, play a major role in susceptibility to common human diseases. This old genetic concept has experienced a major renaissance recently. Interestingly, epistatic genes can make the disease less severe, or make it more severe.
openaire   +2 more sources

Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology

Scientific Reports, 2022
Genome wide association studies (GWAS) have focused on elucidating the genetic architecture of complex traits by assessing single variant effects in additive genetic models, albeit explaining a fraction of the trait heritability.
Sheldon D’Silva, Shreya Chakraborty, Bratati Kahali   +2 more
doaj   +1 more source