diff options
Diffstat (limited to 'scripts')
| -rw-r--r-- | scripts/rqtl_wrapper.R | 130 |
1 files changed, 77 insertions, 53 deletions
diff --git a/scripts/rqtl_wrapper.R b/scripts/rqtl_wrapper.R index b7a9ae0..eb660b5 100644 --- a/scripts/rqtl_wrapper.R +++ b/scripts/rqtl_wrapper.R @@ -12,6 +12,7 @@ option_list = list( make_option(c("--covarstruct"), type="character", help="File detailing which covariates are categorical or numerical"), make_option(c("--model"), type="character", default="normal", help="Mapping Model - Normal or Non-Parametric"), make_option(c("--method"), type="character", default="hk", help="Mapping Method - hk (Haley Knott), ehk (Extended Haley Knott), mr (Marker Regression), em (Expectation-Maximization), imp (Imputation)"), + make_option(c("--pairscan"), action="store_true", default=NULL, help="Run Pair Scan - the R/qtl function scantwo"), make_option(c("-i", "--interval"), action="store_true", default=NULL, help="Use interval mapping"), make_option(c("--nperm"), type="integer", default=0, help="Number of permutations"), make_option(c("--pstrata"), action="store_true", default=NULL, help="Use permutation strata (stored as final column/vector in phenotype input file)"), @@ -174,6 +175,9 @@ cross_object = geno_to_csvr(geno_file, trait_names, trait_vals, cross_file, type if (!is.null(opt$interval)) { verbose_print('Calculating genotype probabilities with interval mapping\n') cross_object <- calc.genoprob(cross_object, step=5, stepwidth="max") +} else if (!is.null(opt$pairscan)) { + verbose_print('Calculating genotype probabilities for pair-scan\n') + cross_object <- calc.genoprob(cross_object, step=10) } else { verbose_print('Calculating genotype probabilities\n') cross_object <- calc.genoprob(cross_object) @@ -188,6 +192,7 @@ if (type == "4-way") { # Pull covariates out of cross object, if they exist covars <- c() # Holds the covariates which should be passed to R/qtl if (!is.null(opt$addcovar)) { + verbose_print('Pulling covariates out of cross object\n') # If perm strata are being used, it'll be included as the final column in the phenotype file if (!is.null(opt$pstrata)) { covar_names = trait_names[2:(length(trait_names)-1)] @@ -218,16 +223,28 @@ if (!is.null(opt$addcovar)) { # Pull permutation strata out of cross object, if it is being used perm_strata = vector() if (!is.null(opt$pstrata)) { + verbose_print('Pulling permutation strata out of cross object\n') strata_col = trait_names[length(trait_names)] perm_strata <- pull.pheno(cross_object, strata_col) } # If a marker name is supplied as covariate, get its vector of values and add them as a covariate if (!is.null(opt$control)) { + verbose_print('Creating marker covariates and binding them to covariates vector\n') marker_covars = create_marker_covars(cross_object, opt$control) covars <- cbind(covars, marker_covars) } +if (!is.null(opt$pairscan)) { + scan_func <- function(...){ + scantwo(...) + } +} else { + scan_func <- function(...){ + scanone(...) + } +} + # Calculate permutations if (opt$nperm > 0) { if (!is.null(opt$filename)){ @@ -238,19 +255,19 @@ if (opt$nperm > 0) { if (!is.null(opt$addcovar) || !is.null(opt$control)){ if (!is.null(opt$pstrata)) { - verbose_print('Running ', opt$nperm, ' permutations with cofactors and strata\n') - perm_results = scanone(cross_object, pheno.col=1, addcovar=covars, n.perm=opt$nperm, perm.strata=perm_strata, model=opt$model, method=opt$method) + verbose_print('Running permutations with cofactors and strata\n') + perm_results = scan_func(cross_object, pheno.col=1, addcovar=covars, n.perm=opt$nperm, perm.strata=perm_strata, model=opt$model, method=opt$method) } else { - verbose_print('Running ', opt$nperm, ' permutations with cofactors\n') - perm_results = scanone(cross_object, pheno.col=1, addcovar=covars, n.perm=opt$nperm, model=opt$model, method=opt$method) + verbose_print('Running permutations with cofactors\n') + perm_results = scan_func(cross_object, pheno.col=1, addcovar=covars, n.perm=opt$nperm, model=opt$model, method=opt$method) } } else { if (!is.null(opt$pstrata)) { - verbose_print('Running ', opt$nperm, ' permutations with strata\n') - perm_results = scanone(cross_object, pheno.col=1, n.perm=opt$nperm, perm.strata=perm_strata, model=opt$model, method=opt$method) + verbose_print('Running permutations with strata\n') + perm_results = scan_func(cross_object, pheno.col=1, n.perm=opt$nperm, perm.strata=perm_strata, model=opt$model, method=opt$method) } else { - verbose_print('Running ', opt$nperm, ' permutations\n') - perm_results = scanone(cross_object, pheno.col=1, n.perm=opt$nperm, model=opt$model, method=opt$method) + verbose_print('Running permutations\n') + perm_results = scan_func(cross_object, pheno.col=1, n.perm=opt$nperm, model=opt$model, method=opt$method) } } write.csv(perm_results, perm_out_file) @@ -263,57 +280,64 @@ if (!is.null(opt$filename)){ } if (!is.null(opt$addcovar) || !is.null(opt$control)){ - verbose_print('Running scanone with cofactors\n') - qtl_results = scanone(cross_object, pheno.col=1, addcovar=covars, model=opt$model, method=opt$method) + verbose_print('Running scan with cofactors\n') + qtl_results = scan_func(cross_object, pheno.col=1, addcovar=covars, model=opt$model, method=opt$method) } else { - verbose_print('Running scanone\n') - qtl_results = scanone(cross_object, pheno.col=1, model=opt$model, method=opt$method) + verbose_print('Running scan\n') + qtl_results = scan_func(cross_object, pheno.col=1, model=opt$model, method=opt$method) } -#QTL main effects on adjusted longevity -getEffects <- function(sdata, gtsprob, marker = "1_24042124", model = "longevity ~ sex + site + cohort + treatment", trait = "longevity"){ - rownames(sdata) <- 1:nrow(sdata) - rownames(gtsprob) <- 1:nrow(gtsprob) - mp <- gtsprob[, grep(marker, colnames(gtsprob))] - gts <- unlist(lapply(lapply(lapply(apply(mp,1,function(x){which(x > 0.85)}),names), strsplit, ":"), function(x){ - if(length(x) > 0){ return(x[[1]][2]); }else{ return(NA) } - })) - - ismissing <- which(apply(sdata, 1, function(x){any(is.na(x))})) - if(length(ismissing) > 0){ - sdata <- sdata[-ismissing, ] - gts <- gts[-ismissing] +verbose_print('Writing results to CSV file\n') +if (!is.null(opt$pairscan)) { + map_out_file = file.path(opt$outdir, paste("MAP_", opt$filename, sep = "" )) + write.csv(qtl_results[1], out_file) + write.csv(qtl_results[2], map_out_file) +} else { + # QTL main effects on adjusted longevity + getEffects <- function(sdata, gtsprob, marker = "1_24042124", model = "longevity ~ sex + site + cohort + treatment", trait = "longevity"){ + rownames(sdata) <- 1:nrow(sdata) + rownames(gtsprob) <- 1:nrow(gtsprob) + mp <- gtsprob[, grep(marker, colnames(gtsprob))] + gts <- unlist(lapply(lapply(lapply(apply(mp,1,function(x){which(x > 0.85)}),names), strsplit, ":"), function(x){ + if(length(x) > 0){ return(x[[1]][2]); }else{ return(NA) } + })) + + ismissing <- which(apply(sdata, 1, function(x){any(is.na(x))})) + if(length(ismissing) > 0){ + sdata <- sdata[-ismissing, ] + gts <- gts[-ismissing] + } + + mlm <- lm(as.formula(model), data = sdata) + pheAdj <- rep(NA, nrow(sdata)) + adj <- residuals(mlm) + mean(sdata[, trait]) + pheAdj[as.numeric(names(adj))] <- adj + means <- c(mean(pheAdj[which(gts == "AC")],na.rm=TRUE),mean(pheAdj[which(gts == "AD")],na.rm=TRUE),mean(pheAdj[which(gts == "BC")],na.rm=TRUE),mean(pheAdj[which(gts == "BD")],na.rm=TRUE)) + std <- function(x) sd(x,na.rm=TRUE)/sqrt(length(x)) + stderrs <- c(std(pheAdj[which(gts == "AC")]),std(pheAdj[which(gts == "AD")]),std(pheAdj[which(gts == "BC")]),std(pheAdj[which(gts == "BD")])) + paste0(round(means,0), " ± ", round(stderrs,2)) } - mlm <- lm(as.formula(model), data = sdata) - pheAdj <- rep(NA, nrow(sdata)) - adj <- residuals(mlm) + mean(sdata[, trait]) - pheAdj[as.numeric(names(adj))] <- adj - means <- c(mean(pheAdj[which(gts == "AC")],na.rm=TRUE),mean(pheAdj[which(gts == "AD")],na.rm=TRUE),mean(pheAdj[which(gts == "BC")],na.rm=TRUE),mean(pheAdj[which(gts == "BD")],na.rm=TRUE)) - std <- function(x) sd(x,na.rm=TRUE)/sqrt(length(x)) - stderrs <- c(std(pheAdj[which(gts == "AC")]),std(pheAdj[which(gts == "AD")]),std(pheAdj[which(gts == "BC")]),std(pheAdj[which(gts == "BD")])) - paste0(round(means,0), " ± ", round(stderrs,2)) -} + if (type == "4-way") { + verbose_print("Get phenotype name + genoprob + all phenotypes + models for 4-way crosses") + traitname <- colnames(pull.pheno(cross_object))[1] + gtsp <- pull.genoprob(cross_object) + allpheno <- pull.pheno(cross_object) + if (!is.null(opt$addcovar)) { + model <- paste0(traitname, " ~ ", paste0(covar_names, sep="", collapse=" + ")) + } else { + model <- paste0(traitname, " ~ 1 ") + } -if (type == "4-way") { - verbose_print("Get phenotype name + genoprob + all phenotypes + models for 4-way crosses") - traitname <- colnames(pull.pheno(cross_object))[1] - gtsp <- pull.genoprob(cross_object) - allpheno <- pull.pheno(cross_object) - if (!is.null(opt$addcovar)) { - model <- paste0(traitname, " ~ ", paste0(covar_names, sep="", collapse=" + ")) - } else { - model <- paste0(traitname, " ~ 1 ") + meffects <- c() + verbose_print("Getting QTL main effects for 4-way crosses") + for(marker in rownames(qtl_results)){ + meff <- getEffects(allpheno, gtsp, marker = marker, model, trait = traitname) + meffects <- rbind(meffects, meff) + } + qtl_results <- cbind(data.frame(qtl_results[,1:3]), meffects) + colnames(qtl_results)[4:7] <- c("AC", "AD", "BC", "BD") } - meffects <- c() - verbose_print("Getting QTL main effects for 4-way crosses") - for(marker in rownames(qtl_results)){ - meff <- getEffects(allpheno, gtsp, marker = marker, model, trait = traitname) - meffects <- rbind(meffects, meff) - } - qtl_results <- cbind(data.frame(qtl_results[,1:3]), meffects) - colnames(qtl_results)[4:7] <- c("AC", "AD", "BC", "BD") + write.csv(qtl_results, out_file) } - -write.csv(qtl_results, out_file) |