Screens regions with strong signals without using LD.

screen_regions_noLD(
  region_data,
  group_prior = NULL,
  group_prior_var = NULL,
  min_var = 2,
  min_gene = 1,
  min_nonSNP_PIP = 0.5,
  ncore = 1,
  logfile = NULL,
  verbose = FALSE,
  ...
)

Arguments

region_data: a list object indexing regions, variants and genes.
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.
min_var: minimum number of variables (SNPs and genes) in a region.
min_gene: minimum number of genes in a region.
min_nonSNP_PIP: If screening by non-SNP PIPs, regions with total non-SNP PIP >= min_nonSNP_PIP will be selected to run finemapping using full SNPs.
ncore: The number of cores used to parallelize susie over regions.
logfile: The log filename. If NULL, print log info on screen.
verbose: If TRUE, print detail messages.
...: Additional arguments of susie_rss.

Value

a list, containing a data frame of selected region data, and a data frame of screening summary for all regions.