Cargando…
The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study
Best linear unbiased prediction (BLUP) has been used to estimate the fixed effects and random effects of complex traits. Traditionally, genomic relationship matrix-based (GRM) and random marker-based BLUP analyses are prevalent to estimate the genetic values of complex traits. We used three methods:...
Autores principales: | Lee, Young-Sup, Kim, Hyeon-Jeong, Cho, Seoae, Kim, Heebal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330263/ https://www.ncbi.nlm.nih.gov/pubmed/25705167 http://dx.doi.org/10.5808/GI.2014.12.4.254 |
Ejemplares similares
-
Relation entre BLUP (Best Linear Unbiased Prediction) et estimateurs bayésiens
por: Dempfle, L
Publicado: (1977) -
An alternative derivation method of mixed model equations from best linear unbiased prediction (BLUP) and restricted BLUP of breeding values not using maximum likelihood
por: Satoh, Masahiro
Publicado: (2018) -
MultiBLUP: improved SNP-based prediction for complex traits
por: Speed, Doug, et al.
Publicado: (2014) -
Application of LogitBoost Classifier for Traceability Using SNP Chip Data
por: Kim, Kwondo, et al.
Publicado: (2015) -
Genetic parameters and selection in full-sib families of tall fescue using best linear unbiased prediction (BLUP) analysis
por: Pirnajmedin, Fatemeh, et al.
Publicado: (2022)