METAL: fast and efficient meta-analysis of genomewide association scans

被引：3361
作者：
Willer, Cristen J. [1 ]
Li, Yun [1 ,2 ]
Abecasis, Goncalo R. [1 ]
机构：
[1] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
[2] Univ N Carolina, Dept Biostat, Dept Genet, Chapel Hill, NC 27515 USA
来源：
BIOINFORMATICS | 2010年 / 26卷 / 17期
关键词：
WIDE ASSOCIATION; LOCI; VARIANTS;
D O I：
10.1093/bioinformatics/btq340
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
METAL provides a computationally efficient tool for meta-analysis of genome-wide association scans, which is a commonly used approach for improving power complex traits gene mapping studies. METAL provides a rich scripting interface and implements efficient memory management to allow analyses of very large data sets and to support a variety of input file formats.
引用
收藏
页码：2190 / 2191
页数：2
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