Bioinformatics. 2007 May 15;23(10):1294-6. Epub 2007 Mar 23.

GenABEL: an R library for genome-wide association analysis.

Aulchenko YS, Ripke S, Isaacs A, van Duijn CM.

Source

Department of Epidemiology and Biostatistics, Erasmus MC Rotterdam, Postbus 2040, 3000 CA Rotterdam, The Netherlands. i.aoultchenko@erasmusmc.nl

Abstract

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.

PMID:: 17384015; [PubMed - indexed for MEDLINE]

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