R/data.R

In baolinwu/MetaSAT: Meta-analysis of variant-set association tests

#' Summary score statistics and associated asymptotic covariance matrices for nine rare variants across three studies
#'
#' A list containing the summary statistics matrix (9x3) and the covariance matrix array (9x9x3)
#'
#' @format A list with two components
#' \describe{
#'   \item{Us}{9x3 matrix of summary score statistics (9 variants across 3 studies)}
#'   \item{Vs}{9x9x3 array of covariance matrix (9 variants across 3 studies) }
#' }
#' @references
#' Wu,B. and Zhao,H. (2018) Efficient and powerful meta-analysis of variant-set association tests using MetaSAT.
#'
#' Wu,B., Guan,W. and Pankow,J.S. (2016) On Efficient and Accurate Calculation of Significance P-Values for Sequence Kernel Association Testing of Variant Set. Ann. Hum. Genet., 80 (2), 123–135.
#'
#' Wessel,J., Chu,A.Y., Willems,S.M. and others. (2015) Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nature Communications, 6, 5897.
#'
## ' @source \url{http://www.github.com/baolinwu/MetaSAT}
#' @examples
#' data(WZda)
#' Us = WZda$Us; Vs = WZda$Vs
#' FESAT(Us,Vs)
#' HESAT(Us,Vs)
#' RESAT(Us,Vs)
#' RBAT(Us,Vs)
"WZda"