COAST {AllelicSeries} | R Documentation |
COding-variant Allelic Series Test
Description
Main allelic series test. Performs both Burden and SKAT type tests, then combines the results to calculate an omnibus p-value.
Usage
COAST(
anno,
geno,
pheno,
apply_int = TRUE,
covar = NULL,
include_orig_skato_all = FALSE,
include_orig_skato_ptv = FALSE,
is_pheno_binary = FALSE,
return_omni_only = FALSE,
score_test = FALSE,
weights = DEFAULT_WEIGHTS
)
Arguments
anno |
(snps x 1) annotation vector with values in c(0, 1, 2). |
geno |
(n x snps) genotype matrix. |
pheno |
(n x 1) phenotype vector. |
apply_int |
Apply rank-based inverse normal transform to the phenotype? Default: TRUE. Ignored if phenotype is binary. |
covar |
(n x p) covariate matrix. Defaults to an (n x 1) intercept. |
include_orig_skato_all |
Include the original version of SKAT-O applied to all variants in the omnibus test? Default: FALSE. |
include_orig_skato_ptv |
Include the original version of SKAT-O applied to PTV variants only in the omnibus test? Default: FALSE. |
is_pheno_binary |
Is the phenotype binary? Default: FALSE. |
return_omni_only |
Return only the omnibus p-value? Default: FALSE. |
score_test |
Use a score test for burden analysis? If FALSE, uses a Wald test. |
weights |
(3 x 1) annotation category weights. |
Value
Numeric p-value.
Examples
# Generate data.
data <- DGP(n = 1e3, snps = 1e2)
# Run the COding-variant Allelic Series Test.
results <- COAST(
anno = data$anno,
geno = data$geno,
pheno = data$pheno,
covar = data$covar
)
show(results)