Create a dataframe that can be used as input for making effect plots
Source:R/effectplot.R
get_snpset.Rd
get_snpset()
Usage
get_snpset(
df1,
df2,
thresh = 5e-08,
protein_coding_only = TRUE,
region_size = 1e+06,
verbose = NULL,
show_full_output = FALSE,
build = 38,
format = "wide"
)
Arguments
- df1
The dataframe to extract the top snps from (with p-value below thresh)
- df2
The dataframe in which to search for overlapping SNPs from dataframe1
- thresh
A number. P-value threshold, only extract variants with p-values below this threshold (5e-08 by default)
- protein_coding_only
Logical, set this variable to TRUE to only use protein_coding genes for annotation
- region_size
An integer (default = 20000000) (or a string represented as 200kb or 2MB) indicating the window size for variant labeling. Increase this number for sparser annotation and decrease for denser annotation.
- verbose
Logical, (default: FALSE). Assign to TRUE to get information on which alleles are matched and which are not.
- show_full_output
A logical scalar (default:FALSE). Assign to TRUE to show the full output from this function
- build
A string, genome build, choose between builds 37 (GRCh37) and 38 (GRCh38) (default is 38)
- format
A string, representing either wide or long format (default : "wide"). By default a snpset created from two dataframes is returned in a wide format.
Examples
if (FALSE) { # \dontrun{
CD_UKBB_index_snps <-get_lead_snps(CD_UKBB)
get_snpset(CD_UKBB_index_snps, CD_FINNGEN)
} # }