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# modified on June 21, 2020
# (1) use exact power calculation formula
#
# created on Jan. 15, 2017
# (1) minimum MAF calculation for eQTL analysis based on simple linear regression
#
# MAF - minor allele frequency
# FWER - family-wise type I error rate
# nTests - number of tests
# n - total number of subjects
# power - desired power
# sigma.y - standard deviation of the outcome
diffPower4MAF.SLR=function(MAF,
slope,
n,
power = 0.8,
sigma.y=0.13,
FWER=0.05,
nTests=200000)
{
power.est = powerEQTL.SLR.default(MAF = MAF,
slope=slope,
n=n,
sigma.y=sigma.y,
FWER=FWER,
nTests=nTests)
diff=power.est-power
return(diff)
}
minMAFeQTL.SLR=function(slope,
n=200,
power=0.8,
sigma.y=0.13,
FWER=0.05,
nTests=200000)
{
a = 1/4 - sigma.y^2/(2*slope^2)
if(a > 0)
{
upp.MAF = 0.5 - sqrt(1/4 - sigma.y^2/(2*slope^2))
} else {
upp.MAF = 0.5
}
upp.MAF = upp.MAF - (1.0e-6)
res.root=uniroot(f=diffPower4MAF.SLR,
interval=c(0.000001, upp.MAF - 1.0e-6),
slope=slope,
n=n,
sigma.y=sigma.y,
FWER=FWER,
nTests=nTests,
power=power)
return(res.root$root)
}
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