Cargando…
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
BACKGROUND: We consider two key problems in genomics involving multiple traits: multi-trait genome wide association studies (GWAS), where the goal is to detect genetic variants associated with the traits; and multi-trait genomic selection (GS), where the emphasis is on accurately predicting trait va...
Autores principales: | Lozano, Aurélie C., Ding, Hantian, Abe, Naoki, Lipka, Alexander E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604903/ https://www.ncbi.nlm.nih.gov/pubmed/37884874 http://dx.doi.org/10.1186/s12859-023-05519-2 |
Ejemplares similares
-
Methodological implementation of mixed linear models in multi-locus genome-wide association studies
por: Wen, Yang-Jun, et al.
Publicado: (2017) -
Methodological implementation of mixed linear models in multi-locus genome-wide association studies
por: Wen, Yang-Jun, et al.
Publicado: (2017) -
Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.)
por: Jaiswal, Vandana, et al.
Publicado: (2016) -
Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology
por: Wang, Shi-Bo, et al.
Publicado: (2016) -
Multi-Locus Genome-Wide Association Studies for 14 Main Agronomic Traits in Barley
por: Hu, Xin, et al.
Publicado: (2018)