title: METAL: fast and efficient meta-analysis of genomewide association scans.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  METAL, including source code, documentation, examples, and executables, is available at http://www.sph.umich.edu/csg/abecasis/metal/.
authors.affiliation: Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109, USA.
authors.forename: Cristen J
authors.initials: CJ
authors.lastname: Willer
authors.forename: Yun
authors.initials: Y
authors.lastname: Li
authors.forename: Gonçalo R
authors.initials: GR
authors.lastname: Abecasis
mesh_terms: D002874:Chromosome Mapping; D019295:Computational Biology / Q000379:methods*; D055106:Genome-Wide Association Study; D012984:Software