GWAPower pipeline

GWAPower specifications

Information


Unique identifier OMICS_19829
Name GWAPower
Software type Package/Module
Interface Command line interface
Restrictions to use None
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.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 1.1
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Sheng Feng <>

Publication for GWAPower

GWAPower IN pipeline

2016
PMCID: 4891883
PMID: 27255376
DOI: 10.1186/s12936-016-1350-2

[…] r statistical software (version 3.1.1). a bonferroni correction was used to adjust for multiple testing, and the significance was set at p < 0.005 (0.05/10). the sample size was calculated using gwapower software [41]. the current sample size (n = 178) had 80 % power to detect a variant with about 6 % heritability. since only 90 samples were assessed for igg subclasses, the power to detect […]

GWAPower institution(s)
Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA; Department of Statistics, North Carolina State University, Raleigh, NC, USA
GWAPower 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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