Get_UV_from_beta: Compute the summary statistics given the genetic effect...

In MTAR: Multi-Trait Analysis of Rare-Variant Association Study

Description

This function allows you to calculate the score summary statistics U and their covariance matrix V for MTAR, given the genetic effect estimates and their standard errors

Usage

Get_UV_from_beta(Beta, Beta.se, R)

Arguments

Beta	a numeric list, each sublist containing estimation information of genetic effect estimates β for each study. In each study, a numeric m \times K matrix with each row as a SNP and each column as a separate trait. The number of traits and the number of SNPs in each study can be different but their names are required.
Beta.se	a numeric list, each sublist containing the standard error of estimators information for each study. In each study, a numeric m \times K matrix with each row as a SNP and each column as a separate trait.
R	a SNP correlation matrix, which should contain the correlation of all the SNPs in these studies.

Value

A list containing summary statistics for each traits, including the score summary statistics U and their covariance matrix V.

Author(s)

Lan Luo

Examples

data("beta.example")
attach(beta.example)
obs.stat <- Get_UV_from_beta(Beta = Beta, Beta.se = Beta.se, R = R)
detach(beta.example)

MTAR documentation built on April 23, 2020, 1:05 a.m.