#' mutFilterCan
#' @description Apply common filtering strategies on a MAF data frame for
#' different cancer types.
#' @param maf An MAF data frame.
#' @param cancerType Type of cancer whose filtering parameters
#' need to be referred to. Options are: "COADREAD", "BRCA", "LIHC", "LAML",
#' "LCML", "UCEC", "UCS", "BLCA", "KIRC" and "KIRP"
#' @param PONfile Panel-of-Normals files, which can be either obtained through
#' GATK (https://gatk.broadinstitute.org/hc/en-us/articles/360035890631-Panel-of-Normals-PON-)
#' or generated by users. Should have at least four columns: CHROM, POS, REF, ALT
#' @param PONformat The format of PON file, either "vcf" or "txt". Default: "vcf"
#' @param panel The sequencing panel applied on the dataset. Parameters
#' for \code{\link{mutFilterQual}} function are set differently for different
#' panels. Default: "Customized". Options: "MSKCC", "WES".
#' @param tumorDP Threshold of tumor total depth. Default: 20
#' @param normalDP Threshold of normal total depth. Default: 10
#' @param tumorAD Threshold of tumor alternative allele depth. Default:5
#' @param normalAD Threshold of normal alternative allele depth. Default: Inf
#' @param VAF Threshold of VAF value. Default: 0.05
#' @param VAFratio Threshold of VAF ratio (tVAF/nVAF). Default: 0
#' @param SBmethod Method will be used to detect strand bias,
#' including 'SOR' and 'Fisher'. Default: 'SOR'. SOR: StrandOddsRatio
#' (https://gatk.broadinstitute.org/hc/en-us/articles/360041849111-
#' StrandOddsRatio)
#' @param SBscore Cutoff strand bias score used to filter variants.
#' Default: 3
#' @param maxIndelLen Maximum length of indel accepted to be included.
#' Default: 50
#' @param minInterval Maximum length of interval between an SNV and an indel
#' accepted to be included. Default: 10
#' @param tagFILTER Variants with spcific tag in the FILTER column will be kept,
#' Default: 'PASS'
#' @param dbVAF Threshold of VAF of certain population for variants
#' in database. Default: 0.01.
#' @param ExAC Whether to filter variants listed in ExAC with VAF higher than
#' cutoff(set in VAF parameter). Default: TRUE.
#' @param Genomesprojects1000 Whether to filter variants listed in
#' Genomesprojects1000 with VAF higher than cutoff(set in VAF parameter).
#' Default: TRUE.
#' @param ESP6500 Whether to filter variants listed in ESP6500 with VAF higher
#' than cutoff(set in VAF parameter). Default: TRUE.
#' @param gnomAD Whether to filter variants listed in gnomAD with VAF higher
#' than cutoff(set in VAF parameter). Default: TRUE.
#' @param dbSNP Whether to filter variants listed in dbSNP. Default: FALSE.
#' @param keepCOSMIC Whether to keep variants in COSMIC even
#' they have are present in germline database. Default: TRUE.
#' @param keepType A group of variant classifications will be kept,
#' including 'exonic', 'nonsynonymous' and 'all'. Default: 'exonic'.
#' @param bedFile A file in bed format that contains region information.
#' Default: NULL
#' @param bedHeader Whether the input bed file has a header or not.
#' Default: FALSE.
#' @param bedFilter Whether to filter the information in bed file or not, which
#' only leaves segments in Chr1-Ch22, ChrX and ChrY. Default: TRUE
#' @param mutFilter Whether to directly return a filtered MAF data frame.
#' If FALSE, a simulation filtration process will be run, and the original MAF
#' data frame with tags in CaTag column, and a filter report will be returned.
#' If TRUE, a filtered MAF data frame and a filter report will be generated.
#' Default: FALSE
#' @param selectCols Columns will be contained in the filtered data frame.
#' By default (TRUE), the first 13 columns and 'Tumor_Sample_Barcode' column.
#' Or a vector contains column names will be kept.
#' @param report Whether to generate report automatically. Default: TRUE
#' @param reportFile File name of the report. Default: 'FilterReport.html'
#' @param reportDir Path to the output report file. Default: './'
#' @param TMB Whether to calculate TMB. Default: TRUE
#' @param progressbar Whether to show progress bar when running this function
#' Default: TRUE
#' @param codelog If TRUE, your code, along with the parameters you set,
#' will be export in a log file. It will be convenient for users to repeat
#' experiments. Default: FALSE
#' @param codelogFile Where to store the codelog, only useful when codelog is
#' set to TRUE. Default: "mutFilterCan.log"
#' @param verbose Whether to generate message/notification during the
#' filtration process. Default: TRUE.
#' @importFrom methods is
#'
#' @return An MAF data frame after common strategy filtration for a cancer type.
#' @return A filter report in HTML format
#'
#' @export mutFilterCan
#' @examples
#' maf <- vcfToMAF(system.file("extdata",
#' "WES_EA_T_1_mutect2.vep.vcf", package="CaMutQC"))
#' mafF <- mutFilterCan(maf, cancerType='BRCA',
#' PONfile=system.file("extdata", "PON_test.txt", package="CaMutQC"),
#' PONformat="txt", TMB=FALSE)
mutFilterCan <- function(maf, cancerType, PONfile, PONformat = "vcf",
panel = 'Customized', tumorDP = 0,
normalDP = 0, tumorAD = 0, normalAD = Inf,
VAF = 0, VAFratio = 0, SBmethod = 'SOR',
SBscore = Inf, maxIndelLen = Inf, minInterval = 0,
tagFILTER = NULL, dbVAF = 0.01, ExAC = FALSE,
Genomesprojects1000 = FALSE, ESP6500 = FALSE,
gnomAD = FALSE, dbSNP = FALSE, keepCOSMIC = FALSE,
keepType = 'all', bedFile = NULL, bedFilter = TRUE,
bedHeader = FALSE, mutFilter = FALSE,
selectCols = FALSE, report = TRUE,
reportFile = 'FilterReport.html', reportDir = './',
TMB = FALSE, progressbar = TRUE, codelog = FALSE,
codelogFile = "mutFilterCan.log", verbose = TRUE) {
# check user input
if (!(is(maf, "data.frame"))) {
stop("maf input should be a data frame, did you get it from vcfToMAF function?")
}
# BLCA
if (cancerType == 'BLCA'){
mafFiltered <- mutFilterCom(maf, SBmethod='Fisher', SBscore=20,
minInterval=30, tumorDP = 10, Genomesprojects1000=TRUE,
ExAC=TRUE, normalDP=10, tumorAD=5, VAF=VAF,
VAFratio=VAFratio, maxIndelLen=maxIndelLen,
tagFILTER=tagFILTER, dbVAF=dbVAF, ESP6500=ESP6500,
gnomAD=gnomAD, dbSNP=dbSNP, keepCOSMIC=keepCOSMIC,
keepType=keepType, bedFile=bedFile, bedHeader=bedHeader,
bedFilter=bedFilter, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir, TMB=TMB,
cancerType=cancerType, progressbar=progressbar,
codelog=codelog, codelogFile=codelogFile,
PONformat=PONformat, PONfile=PONfile,
verbose=verbose)
# BRCA
}else if(cancerType == 'BRCA'){
mafFiltered <- mutFilterCom(maf, tumorAD=5, VAF=0.1,
dbSNP=TRUE, Genomesprojects1000=TRUE, ESP6500=TRUE,
keepCOSMIC=TRUE, tumorDP=6, normalDP=6,
VAFratio=VAFratio, SBmethod=SBmethod, ExAC=ExAC,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, bedFile=bedFile,
bedHeader=bedHeader, tagFILTER=tagFILTER, dbVAF=dbVAF,
gnomAD=gnomAD, keepType=keepType, bedFilter=bedFilter,
mutFilter=mutFilter, selectCols=selectCols,
report=report, reportFile=reportFile,
reportDir=reportDir, TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, PONformat=PONformat,
PONfile=PONfile, verbose=verbose)
# COADREAD
}else if(cancerType == 'COADREAD'){
mafFiltered <- mutFilterCom(maf, tumorDP=5, VAF=0.2,
dbSNP=TRUE, Genomesprojects1000=TRUE,
normalDP=normalDP, tumorAD=tumorAD, VAFratio=VAFratio,
SBmethod=SBmethod, SBscore=SBscore,
maxIndelLen=maxIndelLen, minInterval=minInterval,
ExAC=ExAC, tagFILTER=tagFILTER, dbVAF=dbVAF,
ESP6500=ESP6500, gnomAD=gnomAD, keepCOSMIC=keepCOSMIC,
keepType=keepType, bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir, TMB=TMB,
cancerType=cancerType, progressbar=progressbar,
codelog=codelog, codelogFile=codelogFile,
PONformat=PONformat, PONfile=PONfile, verbose=verbose)
# UCEC
}else if(cancerType == 'UCEC'){
mafFiltered <- mutFilterCom(maf, dbSNP=TRUE, Genomesprojects1000=TRUE,
tumorDP=tumorDP, VAF=VAF, normalDP=normalDP,
tumorAD=tumorAD, VAFratio=VAFratio, SBmethod=SBmethod,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, ExAC=ExAC,
tagFILTER=tagFILTER, dbVAF=dbVAF, ESP6500=ESP6500,
gnomAD=gnomAD, keepCOSMIC=keepCOSMIC,
keepType=keepType, bedFile=bedFile, TMB=TMB,
bedFilter=bedFilter, bedHeader=bedHeader,
mutFilter=mutFilter, selectCols=selectCols,
report=report, reportFile=reportFile,
reportDir=reportDir, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, PONformat=PONformat,
PONfile=PONfile, verbose=verbose)
# UCS
}else if(cancerType == 'UCS'){
mafFiltered <- mutFilterCom(maf, tumorAD=5, tumorDP=12, normalDP=5,
keepCOSMIC=TRUE, dbSNP=dbSNP,
Genomesprojects1000=Genomesprojects1000,
VAF=VAF, VAFratio=VAFratio,
SBmethod=SBmethod, keepType=keepType,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, ExAC=ExAC,
tagFILTER=tagFILTER, dbVAF=dbVAF,
ESP6500=ESP6500, gnomAD=gnomAD,
bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir,
TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, verbose=verbose,
PONformat=PONformat, PONfile=PONfile)
# KIRC
}else if(cancerType == 'KIRC'){
mafFiltered <- mutFilterCom(maf, dbSNP=TRUE,
Genomesprojects1000=Genomesprojects1000,
tumorDP=tumorDP, VAF=VAF,
normalDP=normalDP, tumorAD=tumorAD,
VAFratio=VAFratio, SBmethod=SBmethod,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, ExAC=ExAC,
tagFILTER=tagFILTER, dbVAF=dbVAF,
ESP6500=ESP6500, gnomAD=gnomAD,
keepCOSMIC=keepCOSMIC, keepType=keepType,
bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir,
TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, verbose=verbose,
PONformat=PONformat, PONfile=PONfile)
# KIRP
}else if(cancerType == 'KIRP'){
mafFiltered <- mutFilterCom(maf, tumorDP=8, normalDP=6, VAF=0.07,
dbSNP=TRUE, keepCOSMIC=TRUE,
Genomesprojects1000=TRUE, ExAC=TRUE,
tumorAD=tumorAD, keepType=keepType,
VAFratio=VAFratio, SBmethod=SBmethod,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval,
tagFILTER=tagFILTER, dbVAF=dbVAF,
ESP6500=ESP6500, gnomAD=gnomAD,
bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir,
TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, verbose=verbose,
PONformat=PONformat, PONfile=PONfile)
# LCML
}else if(cancerType == 'LCML'){
mafFiltered <- mutFilterCom(maf, VAF=0.2, Genomesprojects1000=TRUE,
dbSNP=dbSNP, tumorDP=tumorDP,
normalDP=normalDP, tumorAD=tumorAD,
VAFratio=VAFratio, SBmethod=SBmethod,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, ExAC=ExAC,
tagFILTER=tagFILTER, dbVAF=dbVAF,
ESP6500=ESP6500, gnomAD=gnomAD,
keepCOSMIC=keepCOSMIC, keepType=keepType,
bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir,
TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, verbose=verbose,
PONformat=PONformat, PONfile=PONfile)
# LAML
}else if(cancerType == 'LAML'){
mafFiltered <- mutFilterCom(maf, dbSNP=TRUE, tumorAD=3,
ExAC=TRUE, ESP6500=TRUE, tagFILTER='PASS',
tumorDP=tumorDP, VAF=VAF,
normalDP=normalDP, dbVAF=dbVAF,
VAFratio=VAFratio, SBmethod=SBmethod,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, gnomAD=gnomAD,
keepCOSMIC=keepCOSMIC, keepType=keepType,
bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir,
TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, verbose=verbose,
PONformat=PONformat, PONfile=PONfile)
# LIHC
}else if(cancerType == 'LIHC'){
mafFiltered <- mutFilterCom(maf, tumorDP=15, normalDP=15, VAF=0.1,
dbSNP=TRUE, keepCOSMIC=TRUE,
Genomesprojects1000=TRUE,
tumorAD=tumorAD, keepType=keepType,
VAFratio=VAFratio, SBmethod=SBmethod,
SBscore=SBscore, maxIndelLen=maxIndelLen,
minInterval=minInterval, ExAC=ExAC,
tagFILTER=tagFILTER, dbVAF=dbVAF,
ESP6500=ESP6500, gnomAD=gnomAD,
bedFile=bedFile, bedFilter=bedFilter,
bedHeader=bedHeader, mutFilter=mutFilter,
selectCols=selectCols, report=report,
reportFile=reportFile, reportDir=reportDir,
TMB=TMB, cancerType=cancerType,
progressbar=progressbar, codelog=codelog,
codelogFile=codelogFile, verbose=verbose,
PONformat=PONformat, PONfile=PONfile)
}else{
stop('Invaild cancer type detected, please provide a vaild cancer type.')
}
return(mafFiltered)
}
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