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metaCCA is a tool for the meta-analysis of genome-wide association study (GWAS) data based on summary statistics and using canonical correlation analysis.


GWAS study; Genotype and phenotype


  • Operation: Regression analysis
  • Software interface: Command-line user interface; Library
  • Language: R, MATLAB
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: The MIT licence
  • Cost: Free
  • Version name: 1.14.0
  • Maturity: Stable
  • Credit: Helsinki Doctoral Education Network in Information and Communications Technology (HICT), the Academy of Finland and the Sigrid Juselius Foundation, EU FP7 projects ENGAGE, BioSHaRE, the Finnish Foundation for Cardiovascular Research and Biocentrum Helsinki, Strategic Research Funding from the University of Oulu, Novo Nordisk Foundation.
  • Contact: Anna Cichonska anna.cichonska _at_
  • Collection: Bioconductor


Cichonska A, Rousu J, Marttinen P, Kangas AJ, Soininen P, Lehtimäki T, Raitakari OT, Järvelin MR, Salomaa V, Ala-Korpela M, Ripatti S, Pirinen M "metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis." Bioinformatics 2016; 32(13):1981-9
PMID: 27153689
PMCID: PMC4920109

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J1, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M "Orchestrating high-throughput genomic analysis with Bioconductor." Nat Methods. 2015 Feb;12(2):115-21.
PMID: 25633503
PMCID: PMC4509590

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JY, Zhang J. "Bioconductor: open software development for computational biology and bioinformatics." Genome Biol. 2004;5(10):R80. Epub 2004 Sep 15.
PMID: 15461798
PMCID: PMC545600

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