Runs cTWAS fine-mapping for regions without LD (L = 1)

finemap_regions_noLD(
  region_data,
  group_prior = NULL,
  group_prior_var = NULL,
  use_null_weight = TRUE,
  get_susie_alpha = TRUE,
  snps_only = FALSE,
  ncore = 1,
  verbose = FALSE,
  logfile = NULL,
  ...
)

Arguments

region_data: region_data to be finemapped
group_prior: a vector of two prior inclusion probabilities for SNPs and genes. If NULL, it will use uniform prior inclusion probabilities.
group_prior_var: a vector of two prior variances for SNPs and gene effects. If NULL, it will set prior variance = 50 as the default in susie_rss.
use_null_weight: If TRUE, allow for a probability of no effect in susie
get_susie_alpha: If TRUE, get susie alpha matrix from finemapping results.
snps_only: If TRUE, use only SNPs in the region data.
ncore: The number of cores used to parallelize computation over regions
verbose: If TRUE, print detail messages
logfile: the log file, if NULL will print log info on screen
...: Additional arguments of susie_rss.

Value

a data frame of cTWAS finemapping results.