GWAPower specifications

Unique identifier:
OMICS_19829
Software type:
Package/Module
Restrictions to use:
None
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Stability:
Stable
Name:
GWAPower
Interface:
Command line interface
Input data:
The heritability (a number in the range 0~1); Total sample size; The number of SNPs in the GWAS; The type 1 error rate.
Programming languages:
R
Version:
1.1
Maintained:
Yes

versioning

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GWAPower distribution

download

GWAPower support

Maintainer

  • Sheng Feng <>

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Credits

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Publications

Institution(s)

Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA; Department of Statistics, North Carolina State University, Raleigh, NC, USA

Funding source(s)

Supported by funding from the Measurement to Understand Re-Classification of Disease of Cabarrus and Kannapolis (MURDOCK) Study and by a grant from the NIH CTSA (Clinical and Translational Science Award) 1UL1RR024128-01 to the Duke University.

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