R package CNVassoc: Association Analysis of CNV Data and Imputed SNPs. Carries out analysis of common Copy Number Variants (CNVs) and imputed Single Nucleotide Polymorphisms (SNPs) in population-based studies. It includes tools for estimating association under a series of study designs (case-control, cohort, etc), using several dependent variables (class status, censored data, counts) as response, adjusting for covariates and considering various inheritance models. Moreover, it is possible to perform epistasis studies with pairs of CNVs or imputed SNPs. It has been optimized in order to make feasible the analyses of Genome Wide Association studies (GWAs) with hundreds of thousands of genetic variants (CNVs / imputed SNPs). Also, it incorporates functions for inferring copy number (CNV genotype calling). Various classes and methods for generic functions (print, summary, plot, anova, ...) have been created to facilitate the analysis.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Cassese, Alberto; Guindani, Michele; Vannucci, Marina: iBATCGH: integrative Bayesian analysis of transcriptomic and CGH data (2016)
- Cassese, Alberto; Guindani, Michele; Tadesse, Mahlet G.; Falciani, Francesco; Vannucci, Marina: A hierarchical Bayesian model for inference of copy number variants and their association to gene expression (2014)