Aulchenko Yurii S, Ripke Stephan, Isaacs Aaron, van Duijn Cornelia M
Department of Epidemiology and Biostatistics, Erasmus MC Rotterdam, Postbus 2040, 3000 CA Rotterdam, The Netherlands.
Bioinformatics. 2007 May 15;23(10):1294-6. doi: 10.1093/bioinformatics/btm108. Epub 2007 Mar 23.
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.
在此我们描述了一个用于全基因组关联(GWA)分析的R库。它实现了对GWA数据的有效存储和处理、遗传数据质量控制的快速程序、单核苷酸多态性与二元或定量性状关联的测试、结果可视化,并且还为基础R中实现的标准统计和图形程序以及用于遗传分析的特殊R库提供了简单接口。我们使用一个模拟数据集和两个真实数据集对GenABEL进行了评估。我们得出结论,GenABEL能够在台式计算机上对GWA数据进行分析。