CASMAP: detection of statistically significant combinations of SNPs in association mapping
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Date
2019-08-01
Publication Type
Journal Article
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yes
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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.
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Publication status
published
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Book title
Journal / series
Volume
35 (15)
Pages / Article No.
2680 - 2682
Publisher
Oxford University Press
Event
Edition / version
Methods
Software
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Date collected
Date created
Subject
Organisational unit
09486 - Borgwardt, Karsten M. (ehemalig) / Borgwardt, Karsten M. (former)