b2r: Obtain correlation coefficients and their...

In gap: Genetic Analysis Package

Obtain correlation coefficients and their variance-covariances

Description

Obtain correlation coefficients and their variance-covariances

Usage

b2r(b, s, rho, n)

Arguments

b	the vector of linear regression coefficients.
s	the corresponding vector of standard errors.
rho	triangular array of between-SNP correlation.
n	the sample size.

Details

This function converts linear regression coefficients of phenotype on single nucleotide polymorphisms (SNPs) into Pearson correlation coefficients with their variance-covariance matrix. It is useful as a preliminary step for meta-analyze SNP-trait associations at a given region. Between-SNP correlations (e.g., from HapMap) are required as auxiliary information.

Value

The returned value is a list containing:

• r the vector of correlation coefficients.

• V the variance-covariance matrix of correlations.

Author(s)

Jing Hua Zhao

References

\insertRef

elston75gap

\insertRef

becker00gap

\insertRef

casella02gap

See Also

mvmeta, LD22

Examples

## Not run: 
n <- 10
r <- c(1,0.2,1,0.4,0.5,1)
b <- c(0.1,0.2,0.3)
s <- c(0.4,0.3,0.2)
bs <- b2r(b,s,r,n)

## End(Not run)

gap documentation built on Sept. 11, 2024, 5:36 p.m.