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

Bioinformatics. 2010 Sep 1;26(17):2190-1. doi: 10.1093/bioinformatics/btq340. Epub 2010 Jul 8.


Summary: 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.

Availability and implementation: METAL, including source code, documentation, examples, and executables, is available at

Publication types

  • Meta-Analysis
  • Research Support, N.I.H., Extramural

MeSH terms

  • Chromosome Mapping
  • Computational Biology / methods*
  • Genome-Wide Association Study*
  • Software*