Genome-Wide Association Study with SNP-Set Methods

By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) .


Reference manual

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0.1.17 by Kosuke Hamazaki, 2 months ago

Browse source code at

Authors: Kosuke Hamazaki [aut, cre] , Hiroyoshi Iwata [aut, ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, rrBLUP, rgl, tcltk, Matrix, cluster, MASS, pbmcapply, optimx, methods, ape

Suggests knitr, rmarkdown

Linking to Rcpp, RcppEigen

See at CRAN