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)...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708840/ |