Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor

Despite important advances from Genome Wide Association Studies (GWAS), for most complex human traits and diseases, a sizable proportion of genetic variance remains unexplained and prediction accuracy (PA) is usually low. Evidence suggests that PA can be improved using Whole-Genome Regression (WGR)...

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Detalles Bibliográficos
Autores principales: de los Campos, Gustavo, Vazquez, Ana I., Fernando, Rohan, Klimentidis, Yann C., Sorensen, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708840/
https://www.ncbi.nlm.nih.gov/pubmed/23874214
http://dx.doi.org/10.1371/journal.pgen.1003608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708840/
https://www.ncbi.nlm.nih.gov/pubmed/23874214
http://dx.doi.org/10.1371/journal.pgen.1003608

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