Cargando…
Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models
Network based statistical models accounting for putative causal relationships among multiple phenotypes can be used to infer single-nucleotide polymorphism (SNP) effect which transmitting through a given causal path in genome-wide association studies (GWAS). In GWAS with multiple phenotypes, reconst...
Autores principales: | Momen, Mehdi, Ayatollahi Mehrgardi, Ahmad, Amiri Roudbar, Mahmoud, Kranis, Andreas, Mercuri Pinto, Renan, Valente, Bruno D., Morota, Gota, Rosa, Guilherme J. M., Gianola, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189326/ https://www.ncbi.nlm.nih.gov/pubmed/30356716 http://dx.doi.org/10.3389/fgene.2018.00455 |
Ejemplares similares
-
Predictive ability of genome-assisted statistical models under various forms of gene action
por: Momen, Mehdi, et al.
Publicado: (2018) -
Kernel-based whole-genome prediction of complex traits: a review
por: Morota, Gota, et al.
Publicado: (2014) -
A predictive assessment of genetic correlations between traits in chickens using markers
por: Momen, Mehdi, et al.
Publicado: (2017) -
Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
por: Pegolo, Sara, et al.
Publicado: (2020) -
Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens
por: Abdollahi-Arpanahi, Rostam, et al.
Publicado: (2016)