Colocalisation Tests of Two Genetic Traits
annotate susie_rss output for use with coloc_susie
Internal function, approx.bf.estimates
Internal function, approx.bf.p
binomial to linear regression conversion
check alignment
check_dataset
Colocalisation tests of two genetic traits
Fully Bayesian colocalisation analysis using Bayes Factors
Coloc data through Bayes factors
Bayesian colocalisation analysis with detailed output
Post process a coloc.details result using masking
Coloc with multiple signals per trait
run coloc using susie to detect separate signals
run coloc using susie to detect separate signals
combine.abf
generate conditional summary stats
estgeno1
Pick out snp with most extreme Z score
trim a dataset to central peak(s)
trim a dataset to only peak(s)
Bayesian finemapping analysis
Finemap data through Bayes factors
Finemap multiple signals in a single dataset
logbf 2 pp
logdiff
logsum
find the next most significant SNP, conditioning on a list of sigsnps
find the next most significant SNP, masking a list of sigsnps
plot a coloc_abf object
plot a coloc dataset
print.coloc_abf
process.dataset
Run susie on a single coloc-structured dataset
Estimate trait variance, internal function
Prior sensitivity for coloc
subset_dataset
Var.data
Var.data
Performs the colocalisation tests described in Giambartolomei et al (2013) <doi:10.1371/journal.pgen.1004383>, Wallace (2020) <doi:10.1371/journal.pgen.1008720>, Wallace (2021) <doi:10.1371/journal.pgen.1009440>.