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MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study |
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| Authors: | Xiang Wan Can Yang Qiang Yang Hong Xue Nelson LS Tang Weichuan Yu |
| Institution: | (1) Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, PR China;(2) Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, PR China;(3) Department of Biochemistry, Hong Kong University of Science and Technology, Hong Kong, PR China;(4) Laboratory for Genetics of Disease Susceptibility, Li Ka Shing Institute of Health Sciences,The Chinese University of Hong Kong, Hong Kong, PR China |
| Abstract: | BackgroundThe interactions of multiple single nucleotide polymorphisms (SNPs) are highly hypothesized to affect an individual's susceptibility to complex diseases. Although many works have been done to identify and quantify the importance of multi-SNP interactions, few of them could handle the genome wide data due to the combinatorial explosive search space and the difficulty to statistically evaluate the high-order interactions given limited samples. |
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