SNPInterForest: A new method for detecting epistatic interactions-Reference-Cited by-同舟云学术

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SNPInterForest: A new method for detecting epistatic interactions

Published:2011-12 Issue:1 Volume:12 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Yoshida Makiko,Koike Asako

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-12-469.pdf

Reference17 articles.

1. McCarthy MI, Abecasis GR, Cardon LR, Goldstein DB, Little J, Ioannidis JP, Hirschhorn JN: Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat Rev 2008, 9: 356–369. 10.1038/nrg2344

2. Ritchie M, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, Moore JH: Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet 2001, 69: 138–147. 10.1086/321276

3. Hoh J, Wille A, Ott J: Trimming, weighting, and grouping SNPs in human case-conrtol association studies. Genome Res 2001, 11: 2115–2119. 10.1101/gr.204001

4. Zhang Y, Liu JS: Bayesian inference of epistatic interactions in case-control studies. Nat Genet 2007, 39: 1167–1173. 10.1038/ng2110

5. Yang C, He Z, Wan X, Yang Q, Xue H, Yu W: SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinformatics 2009, 25: 504–511. 10.1093/bioinformatics/btn652

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