ds.fastGWAS | R Documentation |
Performs a distributed GWAS using the methodology proposed on the
paper https://doi.org/10.1186/1471-2105-14-166. This implementation has been adapted
to DataSHIELD as it can rely on a model 0 provided by the ds.glm
function and
the other steps require mostly performing colSums, which are non-disclosive. However,
the results are not 100
differences between cohorts, as the method does not rely on a meta-analysis,
the obtained results of this methodology are the same when used on a distributed
DataSHIELD environment than they would be having all the data gathered at the same computer.
ds.fastGWAS(
genoData,
formula,
family,
do.par = FALSE,
n.cores = NULL,
snpBlock = 20000L,
resample = 1L,
datasources = NULL
)
genoData |
|
formula |
|
family |
|
do.par |
|
n.cores |
|
snpBlock |
|
datasources |
a list of |
data.frame
With the results of the GWAS
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