A knowledge-based weighting framework to boost the power of genome-wide association studies.
BACKGROUND: We are moving to second-wave analysis of genome-wide association studies (GWAS), characterized by comprehensive bioinformatical and statistical evaluation of genetic associations. Existing biological knowledge is very valuable for GWAS, which may help improve their detection power partic...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2010-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3013112?pdf=render |