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

页码：2190 / 2191

页数：2

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