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...

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Bibliographic Details
Main Authors: Miao-Xin Li, Pak C Sham, Stacey S Cherny, You-Qiang Song
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3013112?pdf=render