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Build One TWAS-Weight Row

Source: R/twasWeightsRow.R
twasWeightsRow.Rd

Assemble a single row's payload for TwasWeights: the variants, their weights and the fit payload. Pass a list of these as the collection's entry argument.

Usage

twasWeightsRow(
  variantIds,
  weights,
  fits = NULL,
  cvResult = NULL,
  standardized = FALSE,
  dataType = NULL
)

Arguments

variantIds

Character vector of variant ids, each encoding coordinates (chrom:pos:ref:alt).

weights

Per-variant weights, aligned to variantIds (a vector, or a matrix with one column per condition).

fits

Optional per-method fit payload.

cvResult

Optional cross-validation payload.

standardized

Whether the weights are already on the standardized scale.

dataType

Optional data-type label.

Value

A TwasWeightsRow.

See also

fineMappingRow

Examples

row <- twasWeightsRow(
    variantIds = c("chr1:100:A:G", "chr1:200:C:T"),
    weights = c(0.4, -0.2)
)
TwasWeights(
    study = "s1", context = "brain", trait = "g1", method = "lasso",
    entry = list(row)
)
#> TwasWeights: 1 entries
#>   1 studies, 1 contexts, 1 traits, 1 methods
#>   LD sketch: NULL (individual-level fit)