#' Get LD blocks
#'
#' Identify the LD block in which the lead SNP resides.
#' @return A list with the input data and LD matrix
#' (\ifelse{html}{\out{r<sup>2</sup>}}{\eqn{r^2}}).
#'
#' @param query_dat SNP-level data table.
#' @param ss \pkg{snpStats} object or LD matrix containing
#' \ifelse{html}{\out{r}}{\eqn{r}} or
#' \ifelse{html}{\out{r<sup>2</sup>}}{\eqn{r^2}} values.
#' @param verbose Print messages.
#' @inheritParams adjclust::snpClust
#' @inheritParams adjclust::select
#'
#' @source \href{https://github.com/pneuvial/adjclust}{adjclust GitHub}
#' @export
#' @importFrom Matrix forceSymmetric
get_LD_blocks <- function(query_dat,
ss,
stats = c("R.squared", "D.prime"),
pct = 0.15,
verbose = TRUE) {
requireNamespace("adjclust")
fit_clust <- compute_LD_blocks(
x = ss,
stats = stats,
pct = pct,
verbose = verbose
)
#### Assign clusters ####
clusters <- fit_clust$clusters
query_dat$LDblock <- clusters[query_dat$SNP]
return(list(
query_dat= query_dat,
LD_r2 = fit_clust$fit$data
))
}
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