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...
Autores principales: | Song, Hailiang, Wang, Xue, Guo, Yi, Ding, Xiangdong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
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)