We make a website for GRAB package: https://wenjianbi.github.io/grab.github.io/. Please check it for more recent update.
Rtools (https://cran.rstudio.com/bin/windows/Rtools/) should be installed before installing this package.
library(remotes) # remotes library requires less dependency packages than devtools
install_github("GeneticAnalysisinBiobanks/GRAB", INSTALL_opts=c("--no-multiarch"), ref="main") # The INSTALL_opts is required in Windows OS.
library(GRAB)
## Commen Variants with MAF ranging from (0.05, 0.5)
set.seed(12345)
OutList = GRAB.SimuGMat(nSub = 500, nFam = 50, FamMode = "10-members", nSNP = 10000,
MaxMAF = 0.5, MinMAF = 0.05)
GenoMat = OutList$GenoMat
MissingRate = 0.05
indexMissing = sample(length(GenoMat), MissingRate * length(GenoMat))
GenoMat[indexMissing] = -9
extDir = system.file("extdata", package = "GRAB")
extPrefix = paste0(extDir, "/simuPLINK")
GRAB.makePlink(GenoMat, extPrefix)
setwd(extDir)
system("plink --file simuPLINK --make-bed --out simuPLINK")
system("plink --bfile simuPLINK --recode A --out simuRAW")
system("plink2 --bfile simuPLINK --export bgen-1.2 bits=8 ref-first --out simuBGEN # UK Biobank use 'ref-first'")
system("bgenix -g simuBGEN.bgen -index")
## Rare Variants with MAF ranging from (0.0001, 0.01)
set.seed(34567)
OutList = GRAB.SimuGMat(nSub = 500, nFam = 50, FamMode = "10-members", nSNP = 10000,
MaxMAF = 0.01, MinMAF = 0.0001)
GenoMat = OutList$GenoMat
MissingRate = 0.05
indexMissing = sample(length(GenoMat), MissingRate * length(GenoMat))
GenoMat[indexMissing] = -9
extDir = system.file("extdata", package = "GRAB")
extPrefix = paste0(extDir, "/simuPLINK_RV")
GRAB.makePlink(GenoMat, extPrefix)
setwd(extDir)
system("plink --file simuPLINK_RV --make-bed --out simuPLINK_RV")
system("plink --bfile simuPLINK_RV --recode A --out simuRAW_RV")
system("plink2 --bfile simuPLINK_RV --export bgen-1.2 bits=8 ref-first --out simuBGEN_RV # UK Biobank use 'ref-first'")
system("bgenix -g simuBGEN_RV.bgen -index")
GenoFile = system.file("extdata", "simuPLINK.bed", package = "GRAB")
PlinkFile = tools::file_path_sans_ext(GenoFile) # remove file extension
nPartsGRM = 2
for(partParallel in 1:nPartsGRM){
getTempFilesFullGRM(PlinkFile, nPartsGRM, partParallel) # this function only supports Linux
}
SparseGRMFile = system.file("SparseGRM", "SparseGRM.txt", package = "GRAB")
getSparseGRM(PlinkFile, nPartsGRM, SparseGRMFile)
data.table::fread(SparseGRMFile)
# ID1 ID2 Value
# 1: f1_1 f1_1 0.9591102
# 2: f1_2 f1_2 1.0227757
# 3: f1_3 f1_3 1.0278691
# 4: f1_4 f1_4 1.0138606
# 5: f1_5 f1_1 0.4640743
# ---
# 2546: Subj-496 Subj-496 1.0031059
# 2547: Subj-497 Subj-497 0.9952855
# 2548: Subj-498 Subj-498 0.9829549
# 2549: Subj-499 Subj-499 1.0086861
# 2550: Subj-500 Subj-500 0.9786987
FamFile = system.file("extdata", "simuPLINK.fam", package = "GRAB")
FamData = read.table(FamFile)
IID = FamData$V2 # Individual ID
n = length(IID)
set.seed(678910)
## The below is just to demonstrate the functions of GRAB package
Pheno = data.frame(IID = IID, Cova1 = rnorm(n), Cova2 = rbinom(n, 1, 0.5),
binary = rbinom(n, 1, 0.5),
ordinal = rbinom(n, 3, 0.3),
quantitative = rnorm(n),
time = runif(n),
event = rbinom(n, 1, 0.2))
PhenoFile = system.file("extdata", "simuPHENO.txt", package = "GRAB")
write.table(Pheno, PhenoFile, row.names = F, quote = F, sep = "\t")
set.seed(101112)
RegionData = data.frame(REGION = paste0("Region_", rep(1:100,each=100)),
MARKER = paste0("SNP_",1:10000),
ANNO1 = rbinom(10000, 1, 0.5),
ANNO2 = runif(10000))
GenoFile = system.file("extdata", "simuPLINK.bed", package = "GRAB")
# GenoFile = system.file("extdata", "simuBGEN.bgen", package = "GRAB") # BGEN file input is also supported in null model fitting
PhenoFile = system.file("extdata", "simuPHENO.txt", package = "GRAB")
Pheno = read.table(PhenoFile, header = T)
SparseGRMFile = system.file("SparseGRM", "SparseGRM.txt", package = "GRAB")
objNullFile = system.file("results", "objNull.RData", package = "GRAB")
objNull = GRAB.NullModel(as.factor(ordinal) ~ Cova1 + Cova2,
data = Pheno,
subset = (event==0),
subjData = Pheno$IID,
method = "POLMM",
traitType = "ordinal",
GenoFile = GenoFile,
SparseGRMFile = SparseGRMFile)
objNull$tau # 0.5655751
save(objNull, file = objNullFile)
objNullFile = system.file("results", "objNull.RData", package = "GRAB")
load(objNullFile)
OutputDir = system.file("results", package = "GRAB")
OutputFile = paste0(OutputDir, "/simuMarkerOutput.txt")
GenoFile = system.file("extdata", "simuPLINK.bed", package = "GRAB")
# If 'OutputFile' and 'OutputFileIndex' have existed, users might need to remove them first.
GRAB.Marker(objNull,
GenoFile = GenoFile,
OutputFile = OutputFile)
## Check 'OutputFile' for the analysis results
data.table::fread(OutputFile)
# Marker Info AltFreq AltCounts MissingRate Pvalue beta seBeta
# 1: SNP_1 1:1:G:A 0.3934316 587 0.04481434 0.77381083 0.03200175 0.1113516
# 2: SNP_2 1:2:G:A 0.4561995 677 0.04993598 0.30789980 -0.10816640 -0.1060831
# 3: SNP_3 1:3:G:A 0.3899329 581 0.04609475 0.77397169 0.03153778 0.1098174
# 4: SNP_4 1:4:G:A 0.4433834 650 0.06145967 0.33178713 0.10265438 0.1057725
# 5: SNP_5 1:5:G:A 0.2355705 351 0.04609475 0.59348431 0.06879171 0.1288732
# ---
# 9996: SNP_9996 1:9996:G:A 0.3424566 513 0.04097311 0.04678621 -0.21914094 -0.1102191
# 9997: SNP_9997 1:9997:G:A 0.2686062 397 0.05377721 0.84223235 -0.02476919 -0.1244440
# 9998: SNP_9998 1:9998:G:A 0.0669344 100 0.04353393 0.75590206 -0.06695376 -0.2153778
# 9999: SNP_9999 1:9999:G:A 0.2377384 349 0.06017926 0.45544541 -0.09688906 -0.1298141
# 10000: SNP_10000 1:10000:G:A 0.1361186 202 0.04993598 0.37979954 -0.13401746 -0.1525933
# The below is to show some parameters in control list. For more details, please check the Details section in ?GRAB.Marker
GRAB.Marker(objNull,
GenoFile = GenoFile,
OutputFile = OutputFile,
control = list(nMarkersEachChunk = 1000,
ImputeMethod = "mean",
MissingRateCutoff = 0.05,
MinMAFCutoff = 0.1))
objNullFile = system.file("results", "objNull.RData", package = "GRAB")
load(objNullFile)
OutputDir = system.file("results", package = "GRAB")
OutputFile = paste0(OutputDir, "/simuRegionOutput.txt")
GenoFile = system.file("extdata", "simuPLINK_RV.bed", package = "GRAB")
RegionFile = system.file("extdata", "simuRegion.txt", package = "GRAB")
SparseGRMFile = system.file("SparseGRM", "SparseGRM.txt", package = "GRAB")
## make sure the output files does not exist at first
file.remove(OutputFile)
file.remove(paste0(OutputFile, ".markerInfo"))
file.remove(paste0(OutputFile, ".index"))
GRAB.Region(objNull,
GenoFile = GenoFile,
OutputFile = OutputFile,
RegionFile = RegionFile,
SparseGRMFile = SparseGRMFile)
data.table::fread(OutputFile)
## additional columns of "zScore", "nSamplesInGroup", "AltCountsInGroup", "AltFreqInGroup"
## We do not recommend adding too many columns for all markers
file.remove(OutputFile)
file.remove(paste0(OutputFile, ".markerInfo"))
file.remove(paste0(OutputFile, ".index"))
GRAB.Region(objNull,
GenoFile = GenoFile,
OutputFile = OutputFile,
RegionFile = RegionFile,
RegionAnnoHeader = c("ANNO1", "ANNO2"),
SparseGRMFile = SparseGRMFile,
control = list(outputColumns = c("beta", "seBeta", "zScore","nSamplesInGroup","AltCountsInGroup","AltFreqInGroup")))
data.table::fread(OutputFile)
## Check 'OutputFile' for the analysis results
The current version of GRAB package only supports BGEN v1.2 using 8 bits compression (faster than using 16 bits). For example, if plink2 is used to make BGEN file, please refer to https://www.cog-genomics.org/plink/2.0/data#export
plink2 --bfile input --out output --export bgen-1.2 bits=8
The index file for BGEN file is also required (filename extension is ".bgen.bgi"). Please refer to https://enkre.net/cgi-bin/code/bgen/wiki/bgenix
For SPACox method, we should create the following files
/src/SPACox.cpp
/src/SPACox.hpp
/R/SPACox.R
and modify the following codes
/src/Main.cpp
# static SPACox::SPACoxClass* ptr_gSPACoxobj = NULL;
# void setSPACoxobjInCPP()
/R/GRAB_Null_Model.R
/R/GRAB_Marker.R
/R/GRAB_Region.R
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