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SurvivalGWAS_SV is a tool for the analysis of imputed genotypes in genome-wide association studies (GWAS) with "time-to-event" outcomes. The SurvivalGWAS_SV algorithm uses Cox proportional hazards or Weibull regression models. It can also accommodate multiple covariates and include SNP-covariate interplay effects.


Genomics, GWAS study, Genotype and phenotype


  • Operation: Sequence analysis
  • Software interface: Command-line interface
  • Language: C#
  • Operating system: Mac OS X; Microsoft Windows
  • License: GNU General Public License v3
  • Cost: Free
  • Version name: v1.3.2
  • Maturity: Stable
  • Credit: Wellcome Trust.
  • Contact: hamzah.syed at
  • Collection: -


Syed H, Jorgensen AL, Morris AP "SurvivalGWAS_SV: software for the analysis of genome-wide association studies of imputed genotypes with "time-to-event" outcomes." BMC Bioinformatics 2017; 18(1):265
PMID: 28525968
PMCID: PMC5438515

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