Cargando…
BayesR3 enables fast MCMC blocked processing for largescale multi-trait genomic prediction and QTN mapping analysis
Bayesian methods, such as BayesR, for predicting the genetic value or risk of individuals from their genotypes, such as Single Nucleotide Polymorphisms (SNP), are often implemented using a Markov Chain Monte Carlo (MCMC) process. However, the generation of Markov chains is computationally slow. We i...
Autores principales: | Breen, Edmond J., MacLeod, Iona M., Ho, Phuong N., Haile-Mariam, Mekonnen, Pryce, Jennie E., Thomas, Carl D., Daetwyler, Hans D., Goddard, Michael E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256732/ https://www.ncbi.nlm.nih.gov/pubmed/35790806 http://dx.doi.org/10.1038/s42003-022-03624-1 |
Ejemplares similares
-
An evaluation of the predictive performance and mapping power of the BayesR model for genomic prediction
por: Mollandin, Fanny, et al.
Publicado: (2021) -
Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle
por: Khansefid, Majid, et al.
Publicado: (2020) -
New loci and neuronal pathways for resilience to heat stress in cattle
por: Cheruiyot, Evans K., et al.
Publicado: (2021) -
Functionally prioritised whole-genome sequence variants improve the accuracy of genomic prediction for heat tolerance
por: Cheruiyot, Evans K., et al.
Publicado: (2022) -
Rare Variants in Transcript and Potential Regulatory Regions Explain a Small Percentage of the Missing Heritability of Complex Traits in Cattle
por: Gonzalez-Recio, Oscar, et al.
Publicado: (2015)