#' heartgenes214.
#'
#' heartgenes214 is a multi-ethnic GWAS meta-analysis dataset for coronary
#' artery disease.
#'
#' It comprises summary data (effect-sizes and their corresponding standard
#' errors) for 48 studies (68,801 cases and 123,504 controls), at 214 lead
#' variants independently associated with coronary artery disease
#' (P < 0.00005, FDR < 5\%). Of the 214 lead variants, 44 are genome-wide
#' significant (p < 5e-08). The meta-analysis dataset is based on
#' individuals of: African American, Hispanic American, East Asian,
#' South Asian, Middle Eastern and European ancestry.
#'
#' The study effect-sizes have been flipped to ensure alignment of the
#' effect alleles.
#'
#' Standard errors were genomically corrected at the study-level.
#'
#'
#' @format A data frame with seven variables:
#' \describe{
#' \item{\code{beta_flipped}}{Effect-sizes expressed as log odds ratios. Numeric}
#' \item{\code{gcse}}{Standard errors}
#' \item{\code{studies}}{Names of participating studies}
#' \item{\code{variants}}{Names of genetic variants/SNPs}
#' \item{\code{cases}}{Number of cases in each participating study}
#' \item{\code{controls}}{Number of controls in each participating study}
#' \item{\code{fdr214_gwas46}}{Flag indicating GWAS significant variants,
#' 1: Not GWAS-significant, 2: GWAS-significant}
#' }
#'
#' @source Magosi LE, Goel A, Hopewell JC, Farrall M, on behalf of the
#' CARDIoGRAMplusC4D Consortium (2017) Identifying systematic
#' heterogeneity patterns in genetic association meta-analysis studies.
#' PLoS Genet 13(5): e1006755. https://doi.org/10.1371/journal.pgen.1006755.
#'
#' \url{https://magosil86.github.io/getmstatistic/}
#'
"heartgenes214"
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