An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep01099.pdf
Reference20 articles.
1. Wan, X. et al. BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies. American journal of human genetics 87, 325–40 (2010).
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3. Hu, X. et al. SHEsisEpi, a GPU-enhanced genome-wide SNP-SNP interaction scanning algorithm, efficiently reveals the risk genetic epistasis in bipolar disorder. Cell Research 20, 854–7 (2010).
4. Yung, L. S., Yang, C., Wan, X. & Yu, W. GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies. Bioinformatics 27, 1309–10 (2011).
5. The Wellcome Trust Case Control Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661–78 (2007).
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