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

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 http://www.sph.umich.edu/csg/abecasis/metal/.

Pubmed ID: 20616382

Authors

  • Willer CJ
  • Li Y
  • Abecasis GR

Journal

Bioinformatics (Oxford, England)

Publication Data

September 1, 2010

Associated Grants

  • Agency: NCI NIH HHS, Id: CA082659-11S1
  • Agency: NIDDK NIH HHS, Id: DK078150-03
  • Agency: NHGRI NIH HHS, Id: HG0002651
  • Agency: NHGRI NIH HHS, Id: HG0005214
  • Agency: NHLBI NIH HHS, Id: K99HL094535
  • Agency: NIMH NIH HHS, Id: MH084698
  • Agency: NCI NIH HHS, Id: R01 CA082659

Mesh Terms

  • Chromosome Mapping
  • Computational Biology
  • Genome-Wide Association Study
  • Software