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All functions

annotateGeneName()
annotate the reName4formatDat with gene info
area()
Calculate the area under a time-series curve
dat4GRAPPLE()
prepare data for implementing MR-GRAPPLE
dat4UKBNealeLab()
data processing for UKB-Neale Labs GWAS summary statistics
datMerge()
merge the data set based on SNP
getAnnotatedSNPs()
Get annotated SNPs info
getLDmatrix()
Get LDmatrix for given SNPs concerning 1KG reference
getPaths()
get system-specific paths
hello()
Hello, World!
loadSPSS()
Import data files with SPSS format
plt.region()
plot the regional association plot for exp- and out-GWAS
plt.stack.region()
plot the regional association plot for exp-, eQTL- and out-GWAS
readdeCODEProteomicsGRCh38()
read summary statistics from deCODE using Olink Explore 1536 Panel
readHarmonizedGWASCatalogGRCh37()
read harmonized summary statistics from GWAS Catalog
readHarmonizedGWASCatalogGRCh37Txt()
read harmonized summary statistics in .txt format from GWAS Catalog
rmName4formatDat()
rename TwoSampleMR::format_data() with snps selection at pval
runCisMR()
run drug target (cis-) MR analyses with annotated data
runDebiasedMR()
run de-biased MR using TwoSampleMR pkg
runGeneMendelianRandomization()
run Gene-based MR analyses with correlated IVs
runGRAPPLE()
run three-sample MR using MR-GRAPPLE
runMendelianRandomization()
run MR using MendelianRandomization
runMRClust()
run MR-Clust analysis
runMRClustBest()
run MR analyses based on MR-Clust
runMRIVW()
run MR-IVW using TwoSampleMR pkg
runMRRAPS()
run MR-RAPS using TwoSampleMR pkg
runSuSiERMR()
run MR analysis based on SuSiER
run_clump()
run ld clump locally
run_SuSiE()
Implement the fine-mapping analysis using SuSiE method