GenABEL: an R library for genome-wide association analysis

被引：1437

作者：

Aulchenko, Yurii S.

Ripke, Stephan

Isaacs, Aaron

Van Duijn, Cornelia M.

机构：

[1] Erasmus MC, Dept Epidemiol & Biostat, NL-3000 CA Rotterdam, Netherlands

[2] Max Planck Inst Psychiat, Stat Genet Grp, D-80804 Munich, Germany

来源：

BIOINFORMATICS | 2007年 / 23卷 / 10期

基金：

俄罗斯基础研究基金会;

关键词：

D O I：

10.1093/bioinformatics/btm108

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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 nucleoticle 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.

引用

页码：1294 / 1296

页数：3

共 4 条

[1] Genome-wide association: a promising start to a long race [J].