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RVS R package - Robust Variance Score Test

The robust variance score (RVS) is a novel likelihood-based method for genetic association with NGS data from external control groups. RVS substitutes genotype calls by their expected values given observed sequence data and implements a robust variance estimate for the score statistic.

The RVS R package can be downloaded at https://github.com/Struglab/RVS.
Click here to download the manual (Acrobat file). Acrobat iconW

To install this package, please run the following command in R console

>install.package ('devtools')
>library (devtools)
>install_github ('Struglab/RVS)

If you use this package, please cite

Derkach A, Chiang T, Gong J, Addis L, Dobbins S, Tomlinson I, Houlston R, Pal DK, Strug LJ. Association analysis using next generation sequence data from publicly available control groups: the robust variance score statistic. Bioinformatics 30 (15): 2179-2188 first published online April 14, 2014. PMID:24733292 Abstract

and

Gong J, Baskurt Z, Derkach A, Pesevski A, Strug L, RVS: an R package to integrate next generation sequencing (NGS) data across cohorts for association analysis, Presented at the 66th Annual Meeting of The American Society of Human Genetics, October 18-22, 2016, Vancouver, Canada.

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Jiafen Gong
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Zeynep Baskurt
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Lisa Strug
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