snplinkage: Single Nucleotide Polymorphisms Linkage Disequilibrium Visualizations

Linkage disequilibrium visualizations of up to several hundreds of single nucleotide polymorphisms (SNPs), annotated with chromosomic positions and gene names. Two types of plots are available for small numbers of SNPs (<40) and for large numbers (tested up to 500). Both can be extended by combining other ggplots, e.g. association studies results, and functions enable to directly visualize the effect of SNP selection methods, as minor allele frequency filtering and TagSNP selection, with a second correlation heatmap. The SNPs correlations are computed on Genotype Data objects from the 'GWASTools' package using the 'SNPRelate' package, and the plots are customizable 'ggplot2' and 'gtable' objects and are annotated using the 'biomaRt' package. Usage is detailed in the vignette with example data and results from up to 500 SNPs of 1,200 scans are in Charlon T. (2019) <doi:10.13097/archive-ouverte/unige:161795>.

Package details

AuthorThomas Charlon [aut, cre] (<https://orcid.org/0000-0001-7497-0470>), Karl Forner [aut], Alessandro Di Cara [aut], Jérôme Wojcik [aut]
Bioconductor views GeneticVariability MicroArray SNP
MaintainerThomas Charlon <charlon@protonmail.com>
LicenseGPL-3
Version1.0.0
URL https://gitlab.com/thomaschln/snplinkage
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("snplinkage")

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snplinkage documentation built on May 4, 2023, 9:09 a.m.