title: GenABEL: an R library for genome-wide association analysis.
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.
  
  
  BACKGROUND
  http://cran.r-project.org.
authors: Department of Epidemiology and Biostatistics, Erasmus MC Rotterdam, Postbus 2040, 3000 CA Rotterdam, The Netherlands. i.aoultchenko@erasmusmc.nl
authors: Yurii S
authors: YS
authors: Aulchenko
authors: Stephan
authors: S
authors: Ripke
authors: Aaron
authors: A
authors: Isaacs
authors: Cornelia M
authors: CM
authors: van Duijn
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D015723:Gene Library; D016678:Genome; D015894:Genome, Human; D006239:Haplotypes; D006801:Humans; D016247:Information Storage and Retrieval; D020411:Oligonucleotide Array Sequence Analysis; D020641:Polymorphism, Single Nucleotide; D012984:Software