ld_clump | R Documentation |
Uses PLINK clumping method, where SNPs in LD within a particular window will be pruned. The SNP with the lowest p-value is retained.
ld_clump(
dat = NULL,
clump_kb = 10000,
clump_r2 = 0.001,
clump_p = 0.99,
pop = "EUR",
opengwas_jwt = get_opengwas_jwt(),
bfile = NULL,
plink_bin = NULL
)
dat |
Dataframe. Must have a variant name column ( |
clump_kb |
Clumping kb window. Default is very strict, |
clump_r2 |
Clumping r2 threshold. Default is very strict, |
clump_p |
Clumping sig level for index variants. Default = |
pop |
Super-population to use as reference panel. Default = |
opengwas_jwt |
Used to authenticate protected endpoints. Login to https://api.opengwas.io to obtain a jwt. Provide the jwt string here, or store in .Renviron under the keyname OPENGWAS_JWT.#' |
bfile |
If this is provided then will use the API. Default = |
plink_bin |
If |
This function interacts with the OpenGWAS API, which houses LD reference panels for the 5 super-populations in the 1000 genomes reference panel. It includes only bi-allelic SNPs with MAF > 0.01, so it's quite possible that a variant you want to include in the clumping process will be absent. If it is absent, it will be automatically excluded from the results.
You can check if your variants are present in the LD reference panel using
ld_reflookup()
.
This function does put load on the OpenGWAS servers, which makes life more
difficult for other users. We have implemented a method and made available
the LD reference panels to perform clumping locally, see
ld_clump()
and related vignettes for details.
Data frame
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