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IGES (Gentic Analysis integrating individual level data and summary statistics) is a tool for the identification of risk variants and risk prediction in genome-wide association studies (GWAS). The IGES algorithm integrates individual level genotypes and summary statistics to increase statistical power in the analyses.


GWAS study; Genomics; Genotype and phenotype


  • Operation: Genotyping
  • Software interface: Command-line user interface
  • Language: R, C++
  • Operating system: Mac OS X; Microsoft Windows
  • License: GNU General Public License v>=2
  • Cost: Free
  • Version name: 0.1.0
  • Credit: National Science Funding of China, the Hong Kong Research Grant Council, Hong Kong Baptist University, Duke-NUS Medical School, Ministry of Education, Singapore.
  • Contact: Can Yang eeyangc _at_
  • Collection: -


Dai M, Ming J, Cai M, Liu J, Yang C, Wan X, Xu Z "IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies." Bioinformatics 2017; 33(18):2882-2889
PMID: 28498950
PMCID: PMC5860575

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