cophe.susie {cophescan}R Documentation

run cophe.susie using susie to detect separate signals

Description

Check if a variant causally associated in one trait might be causal in another trait

Usage

cophe.susie(
  dataset,
  querysnpid,
  querytrait,
  pa = 3.82e-05,
  pc = 0.00182,
  p1 = NULL,
  p2 = NULL,
  p12 = NULL,
  susie.args = list()
)

Arguments

dataset

either a list with specifically named elements defining the dataset to be analysed. (see check_dataset)

querysnpid

Id of the query variant

querytrait

Query trait name

pa

prior probability that a non-query variant is causally associated with the query trait (cophescan prior), default 3.82e-5

pc

prior probability that the query variant is causally associated with the query trait (cophescan prior), default 1.82e-3

p1

prior probability a SNP is associated with trait 1, (coloc prior), pc derived by using pc = p12/p1+p12; use p1, p2, p12 only when pa and pc are unavailable (See vignettes)

p2

prior probability a SNP is associated with trait 2, (coloc prior), pa derived by using pa = p2

p12

prior probability a SNP is associated with both traits, (coloc prior), pc derived by using pc = p12/p1+p12

susie.args

a named list of additional arguments to be passed to runsusie

Value

a list, containing elements

Author(s)

Ichcha Manipur

Examples

library(cophescan)
data(cophe_multi_trait_data)
query_trait_1 <- cophe_multi_trait_data$summ_stat[['Trait_1']]
querysnpid <- cophe_multi_trait_data$querysnpid
query_trait_1$LD <- cophe_multi_trait_data$LD
res.susie <- cophe.susie(query_trait_1, querysnpid = querysnpid, querytrait='Trait_1')
summary(res.susie)

[Package cophescan version 1.4.1 Index]