Improving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies

Utilizing the whole genomic variation of complex traits to predict the yet-to-be observed phenotypes or unobserved genetic values via whole genome prediction (WGP) and to infer the underlying genetic architecture via genome wide association study (GWAS) is an interesting and fast developing area in...

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Detalles Bibliográficos
Autores principales: Zhang, Zhe, Ober, Ulrike, Erbe, Malena, Zhang, Hao, Gao, Ning, He, Jinlong, Li, Jiaqi, Simianer, Henner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963961/
https://www.ncbi.nlm.nih.gov/pubmed/24663104
http://dx.doi.org/10.1371/journal.pone.0093017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963961/
https://www.ncbi.nlm.nih.gov/pubmed/24663104
http://dx.doi.org/10.1371/journal.pone.0093017

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