Get Marginal Effects

Extract per-variant marginal univariate effects from a fine-mapping entry or result. Returns a data.frame with identity columns (variant_id, chrom, pos, A1, A2), context (N, MAF), and the marginal effect columns (beta, se, z, p). Populated uniformly across the individual-level and RSS paths.

Usage

getMarginalEffects(x, maxPval = NULL, ...)

# S4 method for class 'FineMappingResultBase'
getMarginalEffects(
  x,
  maxPval = NULL,
  study = NULL,
  context = NULL,
  trait = NULL,
  method = NULL,
  region = NULL,
  ...
)

# S4 method for class 'FineMappingEntry'
getMarginalEffects(x, maxPval = NULL, ...)

Arguments

x

A FineMappingEntry or FineMappingResult.

maxPval

Optional numeric (length 1). When non-NULL, filter rows where p > maxPval. Default NULL (no filter).

...

Class-specific selection arguments.

Value

A data.frame.