Nothing
inst/doc/gwasurvivr_Introduction.R
In gwasurvivr: gwasurvivr: an R package for genome wide survival analysis
## ----style, echo = FALSE, results = 'asis'------------------------------------
BiocStyle::markdown()
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE, cache=FALSE, eval = TRUE)
library(knitr)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("RSID",
"CHR",
"POS",
"REF",
"ALT",
"SAMP_FREQ_ALT",
"SAMP_MAF",
"PVALUE",
"HR",
"HR_lowerCI",
"HR_upperCI",
"COEF",
"SE.COEF",
"Z",
"N",
"NEVENT")
desc <- c("SNP ID",
"Chromosome number",
"Genomic Position (BP)",
"Reference Allele",
"Alternate Allele",
"Alternate Allele frequency in sample being tested",
"Minor allele frequency in sample being tested",
"P-value of single SNP or interaction term",
"Hazard Ratio (HR)",
"Lower bound 95% CI of HR",
"Upper bound 95% CI of HR",
"Estimated coefficient of SNP",
"Standard error of coefficient estimate",
"Z-statistic",
"Number of individuals in sample being tested",
"Number of events that occurred in sample being tested")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("TYPED",
"AF",
"MAF",
"R2",
"ER2")
desc <- c("Imputation status: TRUE (SNP IS TYPED)/FALSE (SNP IS IMPUTED)",
"Minimac3 output Alternate Allele Frequency",
"Minimac3 output of Minor Allele Frequency",
"Imputation R2 score (minimac3 $R^2$)",
"Minimac3 ouput empirical $R^2$")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("TYPED",
"RefPanelAF",
"INFO")
desc <- c("Imputation status: TRUE (SNP IS TYPED)/FALSE (SNP IS IMPUTED)",
"HRC Reference Panel Allele Frequency",
"Imputation INFO score from PBWT")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("TYPED",
"A0",
"A1",
"exp_freq_A1")
desc <- c("`---` is imputed, repeated RSID is typed",
"Allele coded 0 in IMPUTE2",
"Allele coded 1 in IMPUTE2",
"Expected allele frequency of alelle code A1")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- eval=FALSE--------------------------------------------------------------
# devtools::install_github("suchestoncampbelllab/gwasurvivr")
## ---- eval=FALSE--------------------------------------------------------------
# if (!requireNamespace("BiocManager", quietly=TRUE))
# install.packages("BiocManager")
# BiocManager::install("gwasurvivr", version = "devel")
## ---- eval=FALSE--------------------------------------------------------------
# install.packages(c("ncdf4", "matrixStats", "parallel", "survival"))
## ---- eval=FALSE--------------------------------------------------------------
# BiocManager::install("GWASTools")
# BiocManager::install("VariantAnnotation")
# BiocManager::install("SummarizedExperiment")
# BiocManager::install("SNPRelate")
## -----------------------------------------------------------------------------
library(gwasurvivr)
## ---- eval=FALSE--------------------------------------------------------------
# options("gwasurvivr.cores"=4)
## ---- eval=FALSE--------------------------------------------------------------
# library(parallel)
# cl <- makeCluster(detectCores())
#
# impute2CoxSurv(..., clusterObj=cl)
# sangerCoxSurv(..., clusterObj=cl)
# michiganCoxSurv(..., clusterObj=cl)
## ---- message=FALSE-----------------------------------------------------------
vcf.file <- system.file(package="gwasurvivr",
"extdata",
"michigan.chr14.dose.vcf.gz")
pheno.fl <- system.file(package="gwasurvivr",
"extdata",
"simulated_pheno.txt")
pheno.file <- read.table(pheno.fl,
sep=" ",
header=TRUE,
stringsAsFactors = FALSE)
head(pheno.file)
# recode sex column and remove first column
pheno.file$SexFemale <- ifelse(pheno.file$sex=="female", 1L, 0L)
# select only experimental group sample.ids
sample.ids <- pheno.file[pheno.file$group=="experimental",]$ID_2
head(sample.ids)
## ----eval=FALSE---------------------------------------------------------------
# michiganCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term=NULL,
# print.covs="only",
# out.file="michigan_only",
# r2.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
michiganCoxSurv(vcf.file=vcf.file,
covariate.file=pheno.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term=NULL,
print.covs="only",
out.file=tempfile("michigan_only"),
r2.filter=0.3,
maf.filter=0.005,
chunk.size=100,
verbose=TRUE,
clusterObj=NULL)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# michigan_only <- read.table("michigan_only.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
## ---- message=FALSE, echo=FALSE-----------------------------------------------
michigan_only <- read.table(dir(tempdir(), pattern="^michigan_only.*\\.coxph$", full.names = TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
str(head(michigan_only))
## ----eval=FALSE---------------------------------------------------------------
# michiganCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file="michigan_intx_only",
# r2.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=FALSE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
michiganCoxSurv(vcf.file=vcf.file,
covariate.file=pheno.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term="DrugTxYes",
print.covs="only",
out.file=tempfile("michigan_intx_only"),
r2.filter=0.3,
maf.filter=0.005,
chunk.size=100,
verbose=FALSE,
clusterObj=NULL)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# michigan_intx_only <- read.table("michigan_intx_only.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
## ---- message=FALSE, echo=FALSE-----------------------------------------------
michigan_intx_only <- read.table(dir(tempdir(), pattern="^michigan_intx_only.*\\.coxph$", full.names = TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
str(head(michigan_intx_only))
## ---- eval=TRUE---------------------------------------------------------------
vcf.file <- system.file(package="gwasurvivr",
"extdata",
"sanger.pbwt_reference_impute.vcf.gz")
pheno.fl <- system.file(package="gwasurvivr",
"extdata",
"simulated_pheno.txt")
pheno.file <- read.table(pheno.fl,
sep=" ",
header=TRUE,
stringsAsFactors = FALSE)
head(pheno.file)
# recode sex column and remove first column
pheno.file$SexFemale <- ifelse(pheno.file$sex=="female", 1L, 0L)
# select only experimental group sample.ids
sample.ids <- pheno.file[pheno.file$group=="experimental",]$ID_2
head(sample.ids)
## ---- eval=FALSE--------------------------------------------------------------
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term=NULL,
# print.covs="only",
# out.file="sanger_only",
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
sangerCoxSurv(vcf.file=vcf.file,
covariate.file=pheno.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term=NULL,
print.covs="only",
out.file=tempfile("sanger_only"),
info.filter=0.3,
maf.filter=0.005,
chunk.size=100,
verbose=TRUE,
clusterObj=NULL)
## ---- message=FALSE, echo=FALSE-----------------------------------------------
sanger_only <- read.table(dir(tempdir(), pattern="^sanger_only.*\\.coxph$", full.names = TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
str(head(sanger_only))
## ----eval=FALSE---------------------------------------------------------------
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file="sanger_intx_only",
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE, eval=FALSE--------------------------------------------------
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file=tempfile("sanger_intx_only"),
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- message=FALSE-----------------------------------------------------------
impute.file <- system.file(package="gwasurvivr",
"extdata",
"impute_example.impute2.gz")
sample.file <- system.file(package="gwasurvivr",
"extdata",
"impute_example.impute2_sample")
covariate.file <- system.file(package="gwasurvivr",
"extdata",
"simulated_pheno.txt")
covariate.file <- read.table(covariate.file,
sep=" ",
header=TRUE,
stringsAsFactors = FALSE)
covariate.file$SexFemale <- ifelse(covariate.file$sex=="female", 1L, 0L)
sample.ids <- covariate.file[covariate.file$group=="experimental",]$ID_2
## ---- eval=FALSE--------------------------------------------------------------
# impute2CoxSurv(impute.file=impute.file,
# sample.file=sample.file,
# chr=14,
# covariate.file=covariate.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term=NULL,
# print.covs="only",
# out.file="impute_example_only",
# chunk.size=100,
# maf.filter=0.005,
# exclude.snps=NULL,
# flip.dosage=TRUE,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
impute2CoxSurv(impute.file=impute.file,
sample.file=sample.file,
chr=14,
covariate.file=covariate.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term=NULL,
print.covs="only",
out.file=tempfile("impute_example_only"),
chunk.size=100,
maf.filter=0.005,
exclude.snps=NULL,
flip.dosage=TRUE,
verbose=TRUE,
clusterObj=NULL)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# impute2_res_only <- read.table("impute_example_only.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
# str(head(impute2_res_only))
## ---- message=FALSE, echo=FALSE-----------------------------------------------
impute2_res_only <- read.table(dir(tempdir(), pattern="^impute_example_only.*\\.coxph$", full.names=TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
str(head(impute2_res_only))
## ---- eval=FALSE--------------------------------------------------------------
# impute2CoxSurv(impute.file=impute.file,
# sample.file=sample.file,
# chr=14,
# covariate.file=covariate.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file="impute_example_intx",
# chunk.size=100,
# maf.filter=0.005,
# flip.dosage=TRUE,
# verbose=FALSE,
# clusterObj=NULL,
# keepGDS=FALSE)
## ---- echo=FALSE--------------------------------------------------------------
impute2CoxSurv(impute.file=impute.file,
sample.file=sample.file,
chr=14,
covariate.file=covariate.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term="DrugTxYes",
print.covs="only",
out.file=tempfile("impute_example_intx"),
chunk.size=100,
maf.filter=0.005,
flip.dosage=TRUE,
verbose=FALSE,
clusterObj=NULL,
keepGDS=FALSE)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# impute2_res_intx <- read.table("impute_example_intx.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
# str(head(impute2_res_intx))
## ---- message=FALSE, echo=FALSE-----------------------------------------------
impute2_res_intx <- read.table(dir(tempdir(), pattern="^impute_example_intx.*\\.coxph$", full.names=TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
str(head(impute2_res_intx))
## ---- eval=FALSE--------------------------------------------------------------
# ## mysurvivalscript.R
# library(gwasurvivr)
# library(batch)
#
# parseCommandArgs(evaluate=TRUE) # this is loaded in the batch package
#
# options("gwasurvivr.cores"=4)
#
# vcf.file <- system.file(package="gwasurvivr",
# "extdata",
# vcf.file)
# pheno.fl <- system.file(package="gwasurvivr",
# "extdata",
# pheno.file)
# pheno.file <- read.table(pheno.fl,
# sep=" ",
# header=TRUE,
# stringsAsFactors = FALSE)
# # recode sex column and remove first column
# pheno.file$SexFemale <- ifelse(pheno.file$sex=="female", 1L, 0L)
# # select only experimental group sample.ids
# sample.ids <- pheno.file[pheno.file$group=="experimental",]$ID_2
# ## -- unlist the covariates
# ## (refer below to the shell script as to why we are doing this)
# covariates <- unlist(sapply(covariates, strsplit, "_", 1, "[["))
#
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event=time,
# event=event,
# covariates=covariates,
# inter.term=NULL,
# print.covs="only",
# out.file=out.file,
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- eval=FALSE--------------------------------------------------------------
# #!/bin/bash
# DIRECTORY=/path/to/dir/impute_chr
#
# module load R
#
# R --script ${DIRECTORY}/survival/code/mysurvivalscript.R -q --args \
# vcf.file ${DIRECTORY}/sanger.pbwt_reference_impute.vcf.gz \
# pheno.file ${DIRECTORY}/phenotype_data/simulated_pheno.txt \
# covariates DrugTxYes_age_SexFemale\
# time.to.event time \
# event event \
# out.file ${DIRECTORY}/survival/results/sanger_example_output
## ---- echo=FALSE--------------------------------------------------------------
sessionInfo()
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## ----style, echo = FALSE, results = 'asis'------------------------------------
BiocStyle::markdown()
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE, cache=FALSE, eval = TRUE)
library(knitr)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("RSID",
"CHR",
"POS",
"REF",
"ALT",
"SAMP_FREQ_ALT",
"SAMP_MAF",
"PVALUE",
"HR",
"HR_lowerCI",
"HR_upperCI",
"COEF",
"SE.COEF",
"Z",
"N",
"NEVENT")
desc <- c("SNP ID",
"Chromosome number",
"Genomic Position (BP)",
"Reference Allele",
"Alternate Allele",
"Alternate Allele frequency in sample being tested",
"Minor allele frequency in sample being tested",
"P-value of single SNP or interaction term",
"Hazard Ratio (HR)",
"Lower bound 95% CI of HR",
"Upper bound 95% CI of HR",
"Estimated coefficient of SNP",
"Standard error of coefficient estimate",
"Z-statistic",
"Number of individuals in sample being tested",
"Number of events that occurred in sample being tested")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("TYPED",
"AF",
"MAF",
"R2",
"ER2")
desc <- c("Imputation status: TRUE (SNP IS TYPED)/FALSE (SNP IS IMPUTED)",
"Minimac3 output Alternate Allele Frequency",
"Minimac3 output of Minor Allele Frequency",
"Imputation R2 score (minimac3 $R^2$)",
"Minimac3 ouput empirical $R^2$")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("TYPED",
"RefPanelAF",
"INFO")
desc <- c("Imputation status: TRUE (SNP IS TYPED)/FALSE (SNP IS IMPUTED)",
"HRC Reference Panel Allele Frequency",
"Imputation INFO score from PBWT")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- echo=FALSE--------------------------------------------------------------
cols <- c("TYPED",
"A0",
"A1",
"exp_freq_A1")
desc <- c("`---` is imputed, repeated RSID is typed",
"Allele coded 0 in IMPUTE2",
"Allele coded 1 in IMPUTE2",
"Expected allele frequency of alelle code A1")
df <- cbind(cols, desc)
colnames(df) <- c("Column", "Description")
kable(df)
## ---- eval=FALSE--------------------------------------------------------------
# devtools::install_github("suchestoncampbelllab/gwasurvivr")
## ---- eval=FALSE--------------------------------------------------------------
# if (!requireNamespace("BiocManager", quietly=TRUE))
# install.packages("BiocManager")
# BiocManager::install("gwasurvivr", version = "devel")
## ---- eval=FALSE--------------------------------------------------------------
# install.packages(c("ncdf4", "matrixStats", "parallel", "survival"))
## ---- eval=FALSE--------------------------------------------------------------
# BiocManager::install("GWASTools")
# BiocManager::install("VariantAnnotation")
# BiocManager::install("SummarizedExperiment")
# BiocManager::install("SNPRelate")
## -----------------------------------------------------------------------------
library(gwasurvivr)
## ---- eval=FALSE--------------------------------------------------------------
# options("gwasurvivr.cores"=4)
## ---- eval=FALSE--------------------------------------------------------------
# library(parallel)
# cl <- makeCluster(detectCores())
#
# impute2CoxSurv(..., clusterObj=cl)
# sangerCoxSurv(..., clusterObj=cl)
# michiganCoxSurv(..., clusterObj=cl)
## ---- message=FALSE-----------------------------------------------------------
vcf.file <- system.file(package="gwasurvivr",
"extdata",
"michigan.chr14.dose.vcf.gz")
pheno.fl <- system.file(package="gwasurvivr",
"extdata",
"simulated_pheno.txt")
pheno.file <- read.table(pheno.fl,
sep=" ",
header=TRUE,
stringsAsFactors = FALSE)
head(pheno.file)
# recode sex column and remove first column
pheno.file$SexFemale <- ifelse(pheno.file$sex=="female", 1L, 0L)
# select only experimental group sample.ids
sample.ids <- pheno.file[pheno.file$group=="experimental",]$ID_2
head(sample.ids)
## ----eval=FALSE---------------------------------------------------------------
# michiganCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term=NULL,
# print.covs="only",
# out.file="michigan_only",
# r2.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
michiganCoxSurv(vcf.file=vcf.file,
covariate.file=pheno.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term=NULL,
print.covs="only",
out.file=tempfile("michigan_only"),
r2.filter=0.3,
maf.filter=0.005,
chunk.size=100,
verbose=TRUE,
clusterObj=NULL)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# michigan_only <- read.table("michigan_only.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
## ---- message=FALSE, echo=FALSE-----------------------------------------------
michigan_only <- read.table(dir(tempdir(), pattern="^michigan_only.*\\.coxph$", full.names = TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
str(head(michigan_only))
## ----eval=FALSE---------------------------------------------------------------
# michiganCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file="michigan_intx_only",
# r2.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=FALSE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
michiganCoxSurv(vcf.file=vcf.file,
covariate.file=pheno.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term="DrugTxYes",
print.covs="only",
out.file=tempfile("michigan_intx_only"),
r2.filter=0.3,
maf.filter=0.005,
chunk.size=100,
verbose=FALSE,
clusterObj=NULL)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# michigan_intx_only <- read.table("michigan_intx_only.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
## ---- message=FALSE, echo=FALSE-----------------------------------------------
michigan_intx_only <- read.table(dir(tempdir(), pattern="^michigan_intx_only.*\\.coxph$", full.names = TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
str(head(michigan_intx_only))
## ---- eval=TRUE---------------------------------------------------------------
vcf.file <- system.file(package="gwasurvivr",
"extdata",
"sanger.pbwt_reference_impute.vcf.gz")
pheno.fl <- system.file(package="gwasurvivr",
"extdata",
"simulated_pheno.txt")
pheno.file <- read.table(pheno.fl,
sep=" ",
header=TRUE,
stringsAsFactors = FALSE)
head(pheno.file)
# recode sex column and remove first column
pheno.file$SexFemale <- ifelse(pheno.file$sex=="female", 1L, 0L)
# select only experimental group sample.ids
sample.ids <- pheno.file[pheno.file$group=="experimental",]$ID_2
head(sample.ids)
## ---- eval=FALSE--------------------------------------------------------------
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term=NULL,
# print.covs="only",
# out.file="sanger_only",
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
sangerCoxSurv(vcf.file=vcf.file,
covariate.file=pheno.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term=NULL,
print.covs="only",
out.file=tempfile("sanger_only"),
info.filter=0.3,
maf.filter=0.005,
chunk.size=100,
verbose=TRUE,
clusterObj=NULL)
## ---- message=FALSE, echo=FALSE-----------------------------------------------
sanger_only <- read.table(dir(tempdir(), pattern="^sanger_only.*\\.coxph$", full.names = TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
## -----------------------------------------------------------------------------
str(head(sanger_only))
## ----eval=FALSE---------------------------------------------------------------
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file="sanger_intx_only",
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE, eval=FALSE--------------------------------------------------
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file=tempfile("sanger_intx_only"),
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- message=FALSE-----------------------------------------------------------
impute.file <- system.file(package="gwasurvivr",
"extdata",
"impute_example.impute2.gz")
sample.file <- system.file(package="gwasurvivr",
"extdata",
"impute_example.impute2_sample")
covariate.file <- system.file(package="gwasurvivr",
"extdata",
"simulated_pheno.txt")
covariate.file <- read.table(covariate.file,
sep=" ",
header=TRUE,
stringsAsFactors = FALSE)
covariate.file$SexFemale <- ifelse(covariate.file$sex=="female", 1L, 0L)
sample.ids <- covariate.file[covariate.file$group=="experimental",]$ID_2
## ---- eval=FALSE--------------------------------------------------------------
# impute2CoxSurv(impute.file=impute.file,
# sample.file=sample.file,
# chr=14,
# covariate.file=covariate.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term=NULL,
# print.covs="only",
# out.file="impute_example_only",
# chunk.size=100,
# maf.filter=0.005,
# exclude.snps=NULL,
# flip.dosage=TRUE,
# verbose=TRUE,
# clusterObj=NULL)
## ---- echo=FALSE--------------------------------------------------------------
impute2CoxSurv(impute.file=impute.file,
sample.file=sample.file,
chr=14,
covariate.file=covariate.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term=NULL,
print.covs="only",
out.file=tempfile("impute_example_only"),
chunk.size=100,
maf.filter=0.005,
exclude.snps=NULL,
flip.dosage=TRUE,
verbose=TRUE,
clusterObj=NULL)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# impute2_res_only <- read.table("impute_example_only.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
# str(head(impute2_res_only))
## ---- message=FALSE, echo=FALSE-----------------------------------------------
impute2_res_only <- read.table(dir(tempdir(), pattern="^impute_example_only.*\\.coxph$", full.names=TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
str(head(impute2_res_only))
## ---- eval=FALSE--------------------------------------------------------------
# impute2CoxSurv(impute.file=impute.file,
# sample.file=sample.file,
# chr=14,
# covariate.file=covariate.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event="time",
# event="event",
# covariates=c("age", "SexFemale", "DrugTxYes"),
# inter.term="DrugTxYes",
# print.covs="only",
# out.file="impute_example_intx",
# chunk.size=100,
# maf.filter=0.005,
# flip.dosage=TRUE,
# verbose=FALSE,
# clusterObj=NULL,
# keepGDS=FALSE)
## ---- echo=FALSE--------------------------------------------------------------
impute2CoxSurv(impute.file=impute.file,
sample.file=sample.file,
chr=14,
covariate.file=covariate.file,
id.column="ID_2",
sample.ids=sample.ids,
time.to.event="time",
event="event",
covariates=c("age", "SexFemale", "DrugTxYes"),
inter.term="DrugTxYes",
print.covs="only",
out.file=tempfile("impute_example_intx"),
chunk.size=100,
maf.filter=0.005,
flip.dosage=TRUE,
verbose=FALSE,
clusterObj=NULL,
keepGDS=FALSE)
## ---- message=FALSE, eval=FALSE-----------------------------------------------
# impute2_res_intx <- read.table("impute_example_intx.coxph", sep="\t", header=TRUE, stringsAsFactors = FALSE)
# str(head(impute2_res_intx))
## ---- message=FALSE, echo=FALSE-----------------------------------------------
impute2_res_intx <- read.table(dir(tempdir(), pattern="^impute_example_intx.*\\.coxph$", full.names=TRUE), sep="\t", header=TRUE, stringsAsFactors = FALSE)
str(head(impute2_res_intx))
## ---- eval=FALSE--------------------------------------------------------------
# ## mysurvivalscript.R
# library(gwasurvivr)
# library(batch)
#
# parseCommandArgs(evaluate=TRUE) # this is loaded in the batch package
#
# options("gwasurvivr.cores"=4)
#
# vcf.file <- system.file(package="gwasurvivr",
# "extdata",
# vcf.file)
# pheno.fl <- system.file(package="gwasurvivr",
# "extdata",
# pheno.file)
# pheno.file <- read.table(pheno.fl,
# sep=" ",
# header=TRUE,
# stringsAsFactors = FALSE)
# # recode sex column and remove first column
# pheno.file$SexFemale <- ifelse(pheno.file$sex=="female", 1L, 0L)
# # select only experimental group sample.ids
# sample.ids <- pheno.file[pheno.file$group=="experimental",]$ID_2
# ## -- unlist the covariates
# ## (refer below to the shell script as to why we are doing this)
# covariates <- unlist(sapply(covariates, strsplit, "_", 1, "[["))
#
# sangerCoxSurv(vcf.file=vcf.file,
# covariate.file=pheno.file,
# id.column="ID_2",
# sample.ids=sample.ids,
# time.to.event=time,
# event=event,
# covariates=covariates,
# inter.term=NULL,
# print.covs="only",
# out.file=out.file,
# info.filter=0.3,
# maf.filter=0.005,
# chunk.size=100,
# verbose=TRUE,
# clusterObj=NULL)
## ---- eval=FALSE--------------------------------------------------------------
# #!/bin/bash
# DIRECTORY=/path/to/dir/impute_chr
#
# module load R
#
# R --script ${DIRECTORY}/survival/code/mysurvivalscript.R -q --args \
# vcf.file ${DIRECTORY}/sanger.pbwt_reference_impute.vcf.gz \
# pheno.file ${DIRECTORY}/phenotype_data/simulated_pheno.txt \
# covariates DrugTxYes_age_SexFemale\
# time.to.event time \
# event event \
# out.file ${DIRECTORY}/survival/results/sanger_example_output
## ---- echo=FALSE--------------------------------------------------------------
sessionInfo()
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