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SSEA (SNP Set Enrichment Analysis) is a tool to analyze pathway enrichment in genome-wide association studies (GWAS). The SSEA algorithm first identifies representative SNPs using adaptive truncated product statistics, ranks the selected SNPs, and tests their significance using a weighted Kolmogorov-Smirnov test.


DNA polymorphism; Genetics; GWAS study


  • Operation: Pathway or network analysis; Enrichment analysis
  • Software interface: Graphical user interface
  • Language: Java
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: Not stated
  • Cost: Free
  • Version name: 1.0
  • Credit: The National Institutes of Health (NIH), the National Science Foundation (NSF).
  • Contact: wengl _at_ | fmacciar _at_ | aravind _at_ | gguffant _at_ | sgpotkin _at_ | zhaoxia _at_ | xhx _at_
  • Collection: -


Weng L, Macciardi F, Subramanian A, Guffanti G, Potkin SG, Yu Z, Xie X "SNP-based pathway enrichment analysis for genome-wide association studies." BMC Bioinformatics 2011
PMID: 21496265
PMCID: PMC3102637

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