GeneticPower.Quantitative.Numeric: Power of Genetics Study

In GeneticsDesign: Functions for designing genetics studies

Description

Compute power of quantitative genetics studies, when the genotype is handled as a numeric value (0,1,2) GeneticPower.Quantitative.Numeric or as a factor GeneticPower.Quantitative.Factor.

Usage

GeneticPower.Quantitative.Numeric(
                    N=1000,
                    delta=1,
                    freq=0.15,
                    minh=c("additive", "dominant", "recessive"),
                    sigma=1,
                    OtherParms=0,
                    alpha=0.05,
                    numtests=1,
                    moi=NULL,
                    rsquared=NULL)
GeneticPower.Quantitative.Factor( 
                    N=1000,
                    delta=1,
                    freq=0.15,
                    minh=c("additive","dominant","recessive"),
                    sigma=1,
                    OtherParms=0,
                    alpha=0.05,
                    numtests=1,
                    moi=NULL, 
                    rsquared=NULL) 

Arguments

N	total samples in the analysis
delta	Treatment effect for an individual homozygote for the disease allele ('b') relative to an individual homozygote for the reference allele ('A')
freq	allele frequency of disease allele 'b'
minh	mode of inheritance: "additive","dominant","recessive", Default is "additive". This parameter is OVER-RIDDEN by moi.
sigma	standard deviation of the response phenotype
OtherParms	number of additional parameters (really, DOF) in the model that will reduce your overall DOF
alpha	desired significance level
numtests	number of tests to be corrected by Bonferroni adjustment beforee achieving 'alpha'
moi	continuous value between 0 and 1 (inclusive) specifying the mode of inheritance: 0 for recessive, 0.5 for additive, 1.0 for dominant. This parameter OVER-RIDES minh.
rsquared	fraction of total sum-of-squares explained by fit. This parameter OVER-RIDES delta AND sigma.

Details

The value of moi overrides any value specified for minh. Specifying a minh="recessive" is equivalent to specifying moi=0, minh="additive" is equivalent to moi=0.5, and minh="dominant" is equivalent to moi=1.0.

Author(s)

Craig L.Hyde [e-mail] and Feng Gao [e-mail]

Examples

GeneticPower.Quantitative.Numeric(
                                  N=50,
                                  freq=0.1,
                                  minh="recessive",
                                  alpha=0.05
                                  )

GeneticPower.Quantitative.Factor(
                                  N=50,
                                  freq=0.1,
                                  minh="recessive",
                                  alpha=0.05
                                 )


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GeneticsDesign documentation built on April 28, 2020, 6:25 p.m.