The goal of UKB.COVID19 is to assist with the UK Biobank (UKB) COVID-19 data processing, risk factor association tests and to generate SAIGE GWAS phenotype file.
Note: to access the UKB datasets, you need to register as an UKB researcher. If you are already an approved UKB researcher with a project underway, and wish to receive these datasets for COVID-19 research purposes, you can register to receive these data by logging into the Access Management System (AMS).
You can install the released version of UKB.COVID19 from CRAN with:
install.packages("UKB.COVID19")
OR
install.packages("remotes")
::install_github("bahlolab/UKB.COVID19") remotes
OR
install.packages("devtools")
::install_github("bahlolab/UKB.COVID19") devtools
This is a basic example which shows you how to creat a covariate file with risk factors using UKBB main tab data: Note: the ukb.tab file must include fields: f.eid, f.31.0.0, f.34.0.0, f.189.0.0, f.21001., f.21000., f.20161.
library(UKB.COVID19)
<- risk_factor(ukb.data=covid_example("sim_ukb.tab.gz"),
covar ABO.data=covid_example("sim_covid19_misc.txt.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
res.eng=covid_example("sim_result_england.txt.gz"))
This is an example which shows you how to generate a file with COVID-19 susceptibility phenotypes:
<- makePhenotypes(ukb.data=covid_example("sim_ukb.tab.gz"),
susceptibility res.eng=covid_example("sim_result_england.txt.gz"),
death.file=covid_example("sim_death.txt.gz"),
death.cause.file=covid_example("sim_death_cause.txt.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
hesin_diag.file=covid_example("sim_hesin_diag.txt.gz"),
hesin_oper.file=covid_example("sim_hesin_oper.txt.gz"),
hesin_critical.file=covid_example("sim_hesin_critical.txt.gz"),
code.file=covid_example("coding240.txt.gz"),
pheno.type = "susceptibility")
This is an example which shows you how to generate a file with COVID-19 severity phenotypes:
<- makePhenotypes(ukb.data=covid_example("sim_ukb.tab.gz"),
severity res.eng=covid_example("sim_result_england.txt.gz"),
death.file=covid_example("sim_death.txt.gz"),
death.cause.file=covid_example("sim_death_cause.txt.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
hesin_diag.file=covid_example("sim_hesin_diag.txt.gz"),
hesin_oper.file=covid_example("sim_hesin_oper.txt.gz"),
hesin_critical.file=covid_example("sim_hesin_critical.txt.gz"),
code.file=covid_example("coding240.txt.gz"),
pheno.type = "severity")
This is an example which shows you how to generate a file with COVID-19 mortality phenotype: Note: the code file is udner /UKB.COVID19/inst/extdata/coding240.txt.gz
<- makePhenotypes(ukb.data=covid_example("sim_ukb.tab.gz"),
mortality res.eng=covid_example("sim_result_england.txt.gz"),
death.file=covid_example("sim_death.txt.gz"),
death.cause.file=covid_example("sim_death_cause.txt.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
hesin_diag.file=covid_example("sim_hesin_diag.txt.gz"),
hesin_oper.file=covid_example("sim_hesin_oper.txt.gz"),
hesin_critical.file=covid_example("sim_hesin_critical.txt.gz"),
code.file=covid_example("coding240.txt.gz"),
pheno.type = "mortality")
This is an example which shows you how to generate a file with all comorbidities in ICD-10 code and how to perform the association tests between comorbidities and COVID-19: Note: the code file is udner /UKB.COVID19/inst/extdata/ICD10.coding19.txt.gz
# generate comorbidity file
<- comorbidity_summary(ukb.data=covid_example("sim_ukb.tab.gz"),
comorb hesin.file=covid_example("sim_hesin.txt.gz"),
hesin_diag.file=covid_example("sim_hesin_diag.txt.gz"),
ICD10.file=covid_example("ICD10.coding19.txt.gz"),
primary = FALSE,
Date.start = "16/03/2020")
# association tests
<- comorbidity_asso(pheno=susceptibility,
comorb.asso covariates=covar,
cormorbidity=comorb,
population="white",
cov.name=c("sex","age","bmi","SES","smoke","inAgedCare"),
phe.name="pos.neg",
ICD10.file=covid_example("ICD10.coding19.txt.gz"))
This is a basic example which shows you how to create sample QC files, and sample inclusion / exclusion lists for specified software:
sampleQC(ukb.data=covid_example("sim_ukb.tab.gz"),
withdrawnFile=covid_example("sim_withdrawn.csv.gz"),
ancestry="all",
software="SAIGE",
outDir=covid_example("results"))
This is a basic example which shows you how to create SNP inclusion lists (SNPID and rsID formats) for given MAF/INFO filters. Also outputs list of SNPs to be used for genetic Relatedness Matrix (GRM) calculations.
variantQC(snpQcFile=covid_example("sim_ukb_snp_qc.txt.gz"),
mfiDir=covid_example("alleleFreqs"),
mafFilt=0.001,
infoFilt=0.5,
outDir=covid_example("results"))
This is a basic example which shows you how to generate files for GWAS Software. SAIGE and Plink currently supported.
makeGWASFiles(ukb.data=covid_example("sim_ukb.tab.gz"),
pheno=phe,
covariates=covar,
phe.name="hospitalisation",
cov.name=NULL,
includeSampsFile=NULL,
software="SAIGE",
outDir=covid_example("results"),
prefix="hospitalisation")