Cargando…

G × EBLUP: A novel method for exploring genotype by environment interactions and genomic prediction

Genotype by environment (G × E) interaction is fundamental in the biology of complex traits and diseases. However, most of the existing methods for genomic prediction tend to ignore G × E interaction (GEI). In this study, we proposed the genomic prediction method G × EBLUP by considering GEI. Meanwh...

Descripción completa

Detalles Bibliográficos
Autores principales:	Song, Hailiang, Wang, Xue, Guo, Yi, Ding, Xiangdong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510768/ https://www.ncbi.nlm.nih.gov/pubmed/36171888 http://dx.doi.org/10.3389/fgene.2022.972557

Ejemplares similares

The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs
por: Song, Hailiang, et al.
Publicado: (2020)

Exploring the optimal strategy of imputation from SNP array to whole-genome sequencing data in farm animals
por: Jiang, Yifan, et al.
Publicado: (2022)

The theory on and software simulating large-scale genomic data for genotype-by-environment interactions
por: Li, Xiujin, et al.
Publicado: (2021)

Exploration of genotype-by-environment interactions affecting gene expression responses in porcine immune cells
por: Murani, Eduard, et al.
Publicado: (2023)

Using Different Single-Step Strategies to Improve the Efficiency of Genomic Prediction on Body Measurement Traits in Pig
por: Song, Hailiang, et al.
Publicado: (2019)

Genetical Genomics Reveals Large Scale Genotype-By-Environment Interactions in Arabidopsis thaliana
por: Snoek, L. Basten, et al.
Publicado: (2013)

Genomic Selection Improves Response to Selection in Resilience by Exploiting Genotype by Environment Interactions
por: Mulder, Han A.
Publicado: (2016)

Genomic Prediction of Genotypic Effects with Epistasis and Environment Interactions for Yield-Related Traits of Rapeseed (Brassica napus L.)
por: Luo, Xiang, et al.
Publicado: (2017)

Genotype by environment interaction and breeding for robustness in livestock
por: Rauw, Wendy M., et al.
Publicado: (2015)

Analysis of linear and non-linear genotype × environment interaction
por: Yang, Rong-Cai
Publicado: (2014)

A Genome-Wide Association Study on Feed Efficiency Related Traits in Landrace Pigs
por: Fu, Lu, et al.
Publicado: (2020)

A Single-Step Genome Wide Association Study on Body Size Traits Using Imputation-Based Whole-Genome Sequence Data in Yorkshire Pigs
por: Liu, Huatao, et al.
Publicado: (2021)

A Method for Identifying Environmental Stimuli and Genes Responsible for Genotype-by-Environment Interactions From a Large-Scale Multi-Environment Data Set
por: Onogi, Akio, et al.
Publicado: (2021)

Editorial: Genotype-by-environment interaction in farm animals: from measuring to understanding
por: Murani, Eduard, et al.
Publicado: (2023)

Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
por: Cao, Lu, et al.
Publicado: (2020)

Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions
por: Chu, Thinh Tuan, et al.
Publicado: (2020)

Effects of Genotype by Environment Interaction on Genetic Gain and Genetic Parameter Estimates in Red Tilapia (Oreochromis spp.)
por: Nguyen, Nguyen H., et al.
Publicado: (2017)

Genotype by environment interaction in Nelore cattle from five Brazilian states
por: Diaz, Iara Del Pilar Solar, et al.
Publicado: (2011)

Epistasis and genotype-by-environment interaction of grain protein content in durum wheat
por: Bnejdi, Fethi, et al.
Publicado: (2010)

Analysis of genotype × environment interactions for agronomic traits of soybean (Glycine max [L.] Merr.) using association mapping
por: Rani, Reena, et al.
Publicado: (2023)

ezRAD: a simplified method for genomic genotyping in non-model organisms
por: Toonen, Robert J., et al.
Publicado: (2013)

A novel method of microsatellite genotyping-by-sequencing using individual combinatorial barcoding
por: Vartia, Salla, et al.
Publicado: (2016)

Environment-Dependent Genotype-Phenotype Associations in Avian Breeding Time
por: Gienapp, Phillip, et al.
Publicado: (2017)

The Impact of ACEs on BMI: An Investigation of the Genotype-Environment Effects of BMI
por: Schlauch, Karen A., et al.
Publicado: (2022)

Comparative (Within Species) Genomics of the Vitis vinifera L. Terpene Synthase Family to Explore the Impact of Genotypic Variation Using Phased Diploid Genomes
por: Smit, Samuel Jacobus, et al.
Publicado: (2020)

Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits
por: Sweet-Jones, James, et al.
Publicado: (2021)

Genome-wide association mapping of bread wheat genotypes using yield and grain morphology-related traits under different environments
por: Ahmed, Hafiz Ghulam Muhu-Din, et al.
Publicado: (2023)

Frontiers in Toxicogenomics – The Grand Challenge: To Understand How the Genome and Epigenome Interact with the Toxic Environment
por: Ruden, Douglas Mark
Publicado: (2011)

Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests
por: Lin, Wan-Yu, et al.
Publicado: (2019)

Genomic Variations Explorer (GenVarX): a toolset for annotating promoter and CNV regions using genotypic and phenotypic differences
por: Chan, Yen On, et al.
Publicado: (2023)

Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models
por: Pégolo, Newton T., et al.
Publicado: (2009)

Exploring the Italian equine gene pool via high-throughput genotyping
por: Capomaccio, Stefano, et al.
Publicado: (2023)

Exploring the Genomic Patterns in Human and Mouse Cerebellums Via Single-Cell Sequencing and Machine Learning Method
por: Li, ZhanDong, et al.
Publicado: (2022)

Using expression quantitative trait loci data and graph-embedded neural networks to uncover genotype–phenotype interactions
por: Guo, Xinpeng, et al.
Publicado: (2022)

Parent-offspring genotyped trios unravelling genomic regions with gametic and genotypic epistatic transmission bias on the cattle genome
por: Id-Lahoucine, Samir, et al.
Publicado: (2023)

Recommendations for Choosing the Genotyping Method and Best Practices for Quality Control in Crop Genome-Wide Association Studies
por: Pavan, Stefano, et al.
Publicado: (2020)

Genotype by environment interaction and heteroscedasticity influence the expression of parasite resistance in Katahdin sheep
por: Arisman, Brian C, et al.
Publicado: (2023)

Exploring genome-wide – dietary heme iron intake interactions and the risk of type 2 diabetes
por: Pasquale, Louis R., et al.
Publicado: (2013)

Comparison of two methods for analysis of gene–environment interactions in longitudinal family data: the Framingham heart study
por: Sung, Yun Ju, et al.
Publicado: (2014)

Quantile-dependent expressivity of plasma adiponectin concentrations may explain its sex-specific heritability, gene-environment interactions, and genotype-specific response to postprandial lipemia
por: Williams, Paul T.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_32oar77cuq1gjkdde0uk78c5e3