sdY.est {RapidoPGS}

Estimate trait variance, internal function

Description

Estimate trait standard deviation given vectors of variance of coefficients, MAF and sample size

Usage

sdY.est(vbeta, maf, n)

Arguments

vbeta

vector of variance of coefficients

maf

vector of MAF (same length as vbeta)

n

sample size

Details

Estimate is based on var(beta-hat) = var(Y) / (n * var(X)) var(X) = 2* maf*(1-maf) so we can estimate var(Y) by regressing n*var(X) against 1/var(beta) This function is verbatim from its namesake in coloc package (github.com/chr1swallace/coloc/), by Chris Wallace

Value

estimated standard deviation of Y

Author(s)

Chris Wallace