gwasurvivr
The software tool "gwasurvivr" addresses the need to perform survival analyses with millions of single nucleotide polymorphisms (SNPs). Developed as an R package, gwasurvivr offers a straightforward interface for conducting genome-wide survival analyses using variant call format (VCF) files from Michigan or Sanger imputation servers and IMPUTE2 or PLINK files. To enhance the efficiency of optimizing parameter estimates in the Cox model, gwasurvivr modifies the R package survival. The approach involves fitting covariates in the model without the SNP initially, and these parameter estimates are then used as initial points, reducing the number of iterations needed for convergence.
Topic
DNA polymorphism;Pharmacogenomics;Microarray experiment
Detail
Operation: Imputation;Genotyping;Regression analysis
Software interface: Library
Language: R
License: Artistic License 2.0
Cost: Free
Version name: 1.20.0
Credit: NIH/NHLBI R01HL102278, the Ohio State University and the Translational Data Analytics Initiative, the Pelotonia Fellowship Program.
Input: IMPUTE2, PLINK
Output: -
Contact: Abbas Rizvi aarizv@gmail.com
Collection: -
Maturity: Mature
Publications
- gwasurvivr: an R package for genome-wide survival analysis.
- Rizvi AA, et al. gwasurvivr: an R package for genome-wide survival analysis. gwasurvivr: an R package for genome-wide survival analysis. 2019; 35:1968-1970. doi: 10.1093/bioinformatics/bty920
- https://doi.org/10.1093/bioinformatics/bty920
- PMID: 30395168
- PMC: PMC7963072
Download and documentation
Source: http://bioconductor.org/src/contrib/gwasurvivr_1.20.0.tar.gz
Documentation: http://bioconductor.org/manuals/gwasurvivr/man/gwasurvivr.pdf
Home page: http://bioconductor.org/packages/gwasurvivr
Links: http://bioconductor.org/vignettes/gwasurvivr/inst/doc/gwasurvivr_Introduction.html
Links: http://bioconductor.org/vignettes/gwasurvivr/inst/doc/gwasurvivr_Introduction.R
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