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MACLEAPS is a tool to predict disease risk in genome-wide association studies (GWAS). The MACLEAPS algorithm uses support vector machines.


GWAS study; Pathology; Machine learning; Genetics


  • Operation: Modelling and simulation
  • Software interface: Command-line user interface
  • Language: Java
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: GNU General Public License v3
  • Cost: Free
  • Version name: 1.0.2
  • Maturity: Stable
  • Credit: The Wellcome Trust under.
  • Contact: manu.sharma _at_
  • Collection: -


Mittag F, Büchel F, Saad M, Jahn A, Schulte C, Bochdanovits Z, Simón-Sánchez J, Nalls MA, Keller M, Hernandez DG, Gibbs JR, Lesage S, Brice A, Heutink P, Martinez M, Wood NW, Hardy J, Singleton AB, Zell A, Gasser T, Sharma M, International Parkinson’s Disease Genomics Consortium "Use of support vector machines for disease risk prediction in genome-wide association studies: concerns and opportunities." Hum. Mutat. 2012; 33(12):1708-18
PMID: 22777693
PMCID: PMC5968822

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