R/ctwas_sumstats_noLD.R
ctwas_sumstats_noLD.Rd
run cTWAS analysis using summary statistics with "no LD" version
ctwas_sumstats_noLD(
z_snp,
weights,
region_info,
snp_map,
z_gene = NULL,
thin = 0.1,
niter_prefit = 3,
niter = 30,
init_group_prior = NULL,
init_group_prior_var = NULL,
maxSNP = Inf,
min_nonSNP_PIP = 0.5,
min_p_single_effect = 0.8,
use_null_weight = TRUE,
outputdir = NULL,
outname = "ctwas_noLD",
ncore = 1,
logfile = NULL,
verbose = FALSE,
...
)
A data frame with four columns: "id", "A1", "A2", "z". giving the z scores for snps. "A1" is effect allele. "A2" is the other allele.
a list of pre-processed prediction weights.
a data frame of region definitions.
a list of data frames with SNP-to-region map for the reference.
A data frame with columns: "id", "z", giving the z-scores for genes.
The proportion of SNPs to be used for estimating parameters and screening regions.
the number of iterations of the E-M algorithm to perform during the initial parameter estimation step
the number of iterations of the E-M algorithm to perform during the complete parameter estimation step
a vector of initial values of prior inclusion probabilities for SNPs and genes.
a vector of initial values of prior variances for SNPs and gene effects.
Inf or integer. Maximum number of SNPs in a region. Default is Inf, no limit. This can be useful if there are many SNPs in a region and you don't have enough memory to run the program.
Regions with non-SNP PIP >= min_nonSNP_PIP
will be selected to run finemapping using full SNPs.
Regions with probability >= min_p_single_effect
of having at most one causal effect will be selected for the final EM step.
If TRUE, allow for a probability of no effect in susie.
The directory to store output. If specified, save outputs to the directory.
The output name.
The number of cores used to parallelize susie over regions
The log filename. If NULL, print log info on screen.
If TRUE, print detailed messages
Additional arguments of susie_rss
.
a list, including z_gene, estimated parameters, region_data, cross-boundary genes, screening region results, and fine-mapping results.