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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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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3708840/ https://ncbi.nlm.nih.gov/pubmed/23874214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1003608 |
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