CASMAP: detection of statistically significant combinations of SNPs in association mapping
dc.contributor.author
Llinares-López, Felipe
dc.contributor.author
Papaxanthos, Laetitia
dc.contributor.author
Roqueiro, Damian
dc.contributor.author
Bodenham, Dean
dc.contributor.author
Borgwardt, Karsten M.
dc.date.accessioned
2019-08-14T15:40:06Z
dc.date.available
2019-01-10T09:04:38Z
dc.date.available
2019-01-10T13:24:06Z
dc.date.available
2019-08-14T15:40:06Z
dc.date.issued
2019-08-01
dc.identifier.issn
1367-4803
dc.identifier.issn
1460-2059
dc.identifier.other
10.1093/bioinformatics/bty1020
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/314759
dc.identifier.doi
10.3929/ethz-b-000314759
dc.description.abstract
Combinatorial association mapping aims to assess the statistical association of higher-order interactions of genetic markers with a phenotype of interest. This article presents combinatorial association mapping (CASMAP), a software package that leverages recent advances in significant pattern mining to overcome the statistical and computational challenges that have hindered combinatorial association mapping. CASMAP can be used to perform region-based association studies and to detect higher-order epistatic interactions of genetic variants. Most importantly, unlike other existing significant pattern mining-based tools, CASMAP allows for the correction of categorical covariates such as age or gender, making it suitable for genome-wide association studies.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc/4.0/
dc.title
CASMAP: detection of statistically significant combinations of SNPs in association mapping
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial 4.0 International
dc.date.published
2018-12-12
ethz.journal.title
Bioinformatics
ethz.journal.volume
35
en_US
ethz.journal.issue
15
en_US
ethz.journal.abbreviated
Bioinformatics
ethz.pages.start
2680
en_US
ethz.pages.end
2682
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09486 - Borgwardt, Karsten M. (ehemalig) / Borgwardt, Karsten M. (former)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09486 - Borgwardt, Karsten M. (ehemalig) / Borgwardt, Karsten M. (former)
en_US
ethz.date.deposited
2019-01-10T09:04:50Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-08-14T15:40:15Z
ethz.rosetta.lastUpdated
2023-02-06T17:31:24Z
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true
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true
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