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GenABEL: an R library for genome-wide association analysis

BioinformaticsPublished 23 March 2007
Yurii S. Aulchenko, Stephan Ripke, Aaron Isaacs, Cornelia M. van Duijn
Citations1,970
SJR quartileQ1
SJR score2.45
SNIP1.47

TL;DR

An R library for genome-wide association (GWA) analysis that implements effective storage and handling of GWA data, fast procedures for genetic data quality control, testing of association of single nucleotide polymorphisms with binary or quantitative traits, visualization of results and also provides easy interfaces to standard statistical and graphical procedures.

Abstract

UNLABELLED: Here we describe an R library for genome-wide association (GWA) analysis. It implements effective storage and handling of GWA data, fast procedures for genetic data quality control, testing of association of single nucleotide polymorphisms with binary or quantitative traits, visualization of results and also provides easy interfaces to standard statistical and graphical procedures implemented in base R and special R libraries for genetic analysis. We evaluated GenABEL using one simulated and two real data sets. We conclude that GenABEL enables the analysis of GWA data on desktop computers. AVAILABILITY: http://cran.r-project.org.

Keywords

Biochemistry, Genetics and Molecular Biology