MegaSNPHunter statistics

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Tool usage distribution map

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Associated diseases

Associated diseases

MegaSNPHunter specifications

Information


Unique identifier OMICS_10094
Name MegaSNPHunter
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data MegaSNPHunter takes case-control genotype SNP data.
Output data It produces a ranked list of multi-SNP interactions.
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Xiang Wan <>

Publication for MegaSNPHunter

MegaSNPHunter in publications

 (4)
PMCID: 3806769
PMID: 24194833
DOI: 10.1371/journal.pone.0076300

[…] including statistical methods (e.g. atom ), search methods (e.g. beam or snpharvester ), regression methods (e.g. lasso penalized logistic regression ) and machine learning methods (e.g. , megasnphunter or decision tree based methods ). classic methods such as logistic regression have been pointed as appropriate methods to consistently estimate the strength of association […]

PMCID: 3781145
PMID: 24086368
DOI: 10.1371/journal.pone.0074765

[…] in the ccdc6 and kit genes respectively, was detected by mdr, snpharvester and mb-mdr (). however, this interaction was not replicated in series ii and iii (p = 0.13)., sh- snpharvester; msh- megasnphunter; light grey shading indicates interactions selected by each of the algorithms; dark grey shading indicates the interaction fulfilling the established cutoff (snp pair selected […]

PMCID: 3668133
PMID: 23755066
DOI: 10.3389/fgene.2013.00051

[…] trees, where each node represents a snp, and each path in the trees indicates possible snp interactions. ranking all snps according to their importance for a disease-control classification process, megasnphunter determines significant interactions along paths in the corresponding trees that involved such high ranked snps using h-statistics (wan et al., )., a final group of methods uses […]

PMCID: 3432206
PMID: 22752090
DOI: 10.1007/s00439-012-1194-y

[…] that was subsequently validated, and yang et al. () describe their results to be consistent with the original publications., wan et al. () describe the development of a novel approach called megasnphunter and applied it to parkinson’s disease and rheumatoid arthritis. again, they identified novel interactions that warrant independent validation. finally, a bayesian network approach […]


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MegaSNPHunter institution(s)
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China

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