run coloc using susie to detect separate signals

coloc for susie output + a separate BF matrix

Usage

coloc.susie_bf(
  dataset1,
  bf2,
  p1 = 1e-04,
  p2 = 1e-04,
  p12 = 5e-06,
  susie.args = list(),
  ...
)

dataset1: a list with specifically named elements defining the dataset to be analysed. See check_dataset for details.
bf2: named vector of log BF, names are snp ids and will be matched to column names of susie object's alpha
p1: prior probability a SNP is associated with trait 1, default 1e-4
p2: prior probability a SNP is associated with trait 2, default 1e-4
p12: prior probability a SNP is associated with both traits, default 1e-5
susie.args: named list of arguments to be passed to susieR::susie_rss()
...: other arguments passed to coloc.bf_bf, in particular prior values for causal association with one trait (p1, p2) or both (p12) and prior weights.

coloc.signals style result

Chris Wallace