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Article

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.

BMC bioinformatics - 9 Jan 2009

Wan Xiang, Yang Can, Yang Qiang, Xue Hong, Tang Nelson L S, Yu Weichuan

Abstract excerpt

BACKGROUND: The 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...

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Identifiers

PMID: 19134182
DOI: 10.1186/1471-2105-10-13
PMCID: PMC2642772

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

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