Runs cTWAS fine-mapping for regions

finemap_regions(
  region_data,
  LD_map,
  weights,
  L = 5,
  group_prior = NULL,
  group_prior_var = NULL,
  use_null_weight = TRUE,
  coverage = 0.95,
  min_abs_corr = 0.1,
  include_cs_index = TRUE,
  snps_only = FALSE,
  force_compute_cor = FALSE,
  save_cor = FALSE,
  cor_dir = NULL,
  LD_format = c("rds", "rdata", "mtx", "csv", "txt", "custom"),
  LD_loader_fun,
  ncore = 1,
  verbose = FALSE,
  logfile = NULL,
  ...
)

Arguments

region_data: region_data to be finemapped
LD_map: a data frame with filenames of LD matrices and SNP information for the regions.
weights: a list of preprocessed weights.
L: the number of effects or a vector of number of effects for each region.
group_prior: a vector of two prior inclusion probabilities for SNPs and genes.
group_prior_var: a vector of two prior variances for SNPs and gene effects.
use_null_weight: If TRUE, allow for a probability of no effect in susie
coverage: A number between 0 and 1 specifying the “coverage” of the estimated confidence sets
min_abs_corr: Minimum absolute correlation allowed in a credible set.
include_cs_index: If TRUE, add cs_index to finemapping results.
snps_only: If TRUE, use only SNPs in the region data.
force_compute_cor: If TRUE, force computing correlation (R) matrices
save_cor: If TRUE, save correlation (R) matrices to cor_dir
cor_dir: a string, the directory to store correlation (R) matrices
LD_format: file format for LD matrix. If "custom", use a user defined LD_loader_fun() function to load LD matrix.
LD_loader_fun: a user defined function to load LD matrix when LD_format = "custom".
ncore: The number of cores used to parallelize computation over regions
verbose: If TRUE, print detail messages
logfile: The log filename. If NULL, will print log info on screen.
...: Additional arguments of susie_rss.

Value

a data frame of cTWAS finemapping results.