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) <doi:10.1371/journal.pcbi.1007663>.

Kosuke Hamazaki

RAINBOWR

Genome-Wide Association Study with SNP-Set Methods

Hiroyoshi Iwata

qq function

<dl><dt>scores</dt>
<dd>A vector of -log10(p) for each marker</dd></dl>

Arguments

Draw qq plot — qq

<dl>

<dt>scores</dt>
<dd>A vector of -log10(p) for each marker</dd>

</dl>

qq: Draw qq plot

Description

Usage

Value

Arguments