Package 'UKB.COVID19'

Title: UK Biobank COVID-19 Data Processing and Risk Factor Association Tests
Description: Process UK Biobank COVID-19 test result data for susceptibility, severity and mortality analyses, perform potential non-genetic COVID-19 risk factor and co-morbidity association tests. Wang et al. (2021) <doi:10.5281/zenodo.5174381>.
Authors: Longfei Wang [aut, cre]
Maintainer: Longfei Wang <[email protected]>
License: MIT + file LICENSE
Version: 0.1.6
Built: 2024-10-05 06:39:02 UTC
Source: CRAN

Help Index


Generate comorbidity association result file

Description

Association tests between each co-morbidity and given phenotype (susceptibility, mortality or severity) with the adjustment of covariates.

Usage

comorbidity_asso(
  pheno,
  covariates,
  cormorbidity,
  population = "all",
  cov.name = c("sex", "age", "bmi"),
  phe.name,
  ICD10.file
)

Arguments

pheno

phenotype dataframe - output from makePheno function

covariates

covariate dataframe - output from risk.factor function. Optional.

cormorbidity

Comorbidity summary generated from comorbidity.summary.

population

Choose self-report population/ethnic background group from "all", white", "black", "asian", "mixed", or "other". By default, population="all", include all ethnic groups.

cov.name

Selected covariates names. By default, cov.name=c("sex","age","bmi"), covariates are sex age and BMI.

phe.name

Phenotype name.

ICD10.file

The ICD10 code file, which is included in the package.

Value

Outputs a comorbidity association test result with OR, 95% CI and p-value.

Examples

## Not run: 
comorb.asso <- comorbidity_asso(pheno=phe,
covariates=covar,
cormorbidity=comorb,
population="white",
cov.name=c("sex","age","bmi","SES","smoke","inAgedCare"),
phe.name="hospitalisation",
ICD10.file=covid_example("ICD10.coding19.txt.gz"))

## End(Not run)

Create comorbidity summary file

Description

summarise disease history records of each individual from the hospital inpatient diagnosis data.

Usage

comorbidity_summary(
  ukb.data,
  hesin.file,
  hesin_diag.file,
  primary = FALSE,
  ICD10.file,
  Date.start = NULL,
  Date.end = NULL
)

Arguments

ukb.data

tab delimited UK Biobank phenotype file, containing sample qc fields (with default UKBiobank codes as column names)

hesin.file

Latest hospital inpatient master file.

hesin_diag.file

Latest hospital inpatient diagnosis file.

primary

TRUE: include primary diagnosis only; FALSE: include all diagnoses.

ICD10.file

The ICD10 code file, which is included in the package.

Date.start

Date, dd/mm/yyyy, select the start date of hospital inpatient record period.

Date.end

Date, dd/mm/yyyy, select the end date of hospital inpatient record period.

Value

Outputs comorbidity summary table, named comorbidity_<Date.start>_<Date.end>.RData, including phenotype, non-genetic risk factors and all comorbidities, which will be used in the comorbidity association tests.

Examples

## Not run: 
comorb <- comorbidity_summary(ukb.data=covid_example("sim_ukb.tab.gz"),
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")

## End(Not run)

Provide working directory for UKB.COVID19 example files

Description

Provide working directory for UKB.COVID19 example files

Usage

covid_example(path)

Arguments

path

path to file

Value

Outputs the working directory for UKB.COVID19 example files.

Examples

covid_example('results/covariate.txt')

Reform variables

Description

Reform variables

Usage

data_reform(res, type)

Arguments

res

Merged data of phenotype from makePhenotypes or comorbidity_summary and covariates from risk_factor.

type

Data type: susceptibility, severity, mortality or comorbidity.

Value

Reformed data for association tests using logistic regression models.


Perform association tests between phenotype and covariates

Description

Perform association tests between phenotype and covariates

Usage

log_cov(pheno, covariates, phe.name, cov.name = c("sex", "age", "bmi"))

Arguments

pheno

phenotype dataframe - output from makePhenotypes function

covariates

covariate dataframe - output from risk_factor function.

phe.name

Phenotype name in the data.

cov.name

Selected covariate names in the data. By default, cov.name=c("sex","age","bmi"), covariates include sex, age and BMI.

Value

Outputs association test results with OR, 95% CI, and p-value.

Examples

## Not run: 
log_cov(pheno=phe, covariates=covar, phe.name="hospitalisation", cov.name=c("sex","age","bmi"))

## End(Not run)

Generate files for GWAS Software. SAIGE and Plink currently supported.

Description

Generate files for GWAS Software. SAIGE and Plink currently supported.

Usage

makeGWASFiles(
  ukb.data,
  pheno,
  covariates,
  phe.name,
  cov.name = NULL,
  includeSampsFile = NULL,
  software = "SAIGE",
  outDir = "",
  prefix
)

Arguments

ukb.data

tab delimited UK Biobank phenotype file, containing sample qc fields (with default UKBiobank codes as column names)

pheno

phenotype dataframe - output from makePhenotype function

covariates

covariate dataframe - output from risk.factor function. Optional.

phe.name

phenotypes to be included in outputted data. multiple phenotypes can be specified as a vector. if null, all phenotypes will be outputted.

cov.name

covariates to be included in outputted data. Optional. multiple covariates can be specified as a vector. if null, all covariates in file will be outputted

includeSampsFile

list of samples to be included GWAS. File with the first column containing sample IDs to be kept. Can contain other columns. output from sampleQC function may be used. Optional - if null, all samples will be outputted.

software

specify "SAIGE" or "plink" - defaults to "SAIGE"

outDir

specify directory to output file

prefix

prefix for file - optional

Value

outputs file, suitable for reading by chosen GWAS software

Examples

## Not run: 
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")

## End(Not run)

Generate COVID-19 phenotypes

Description

Generate COVID-19 phenotypes

Usage

makePhenotypes(
  ukb.data,
  res.eng,
  res.wal = NULL,
  res.sco = NULL,
  death.file,
  death.cause.file,
  hesin.file,
  hesin_diag.file,
  hesin_oper.file,
  hesin_critical.file,
  code.file,
  pheno.type = "severity",
  Date = NULL
)

Arguments

ukb.data

tab delimited UK Biobank phenotype file.

res.eng

Latest covid result file/files for England.

res.wal

Latest covid result file/files for Wales. Only available for downloads after April 2021.

res.sco

Latest covid result file/files for Scotland. Only available for downloads after April 2021.

death.file

Latest death register file.

death.cause.file

Latest death cause file.

hesin.file

Latest hospital inpatient master file.

hesin_diag.file

Latest hospital inpatient diagnosis file.

hesin_oper.file

Latest hospital inpatient operation file.

hesin_critical.file

Latest hospital inpatient critical care file.

code.file

The operation code file, which is included in the package.

pheno.type

The phenotype options, which include "susceptibility", "severity", and "mortality".

Date

Date, ddmmyyyy, select the results until a certain date. By default, Date = NULL, the latest hospitalization date.

Value

Returns a data.frame with phenotypes for COVID-19 susceptibility, severity and mortality.

Examples

## Not run: 
pheno <- makePhenotypes(ukb.data=covid_example("sim_ukb.tab.gz"),
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")

## End(Not run)

Generate covariate file

Description

This function formats and outputs a covariate table, used for input for other functions.

Usage

risk_factor(
  ukb.data,
  ABO.data = NULL,
  hesin.file,
  res.eng,
  res.wal = NULL,
  res.sco = NULL,
  fields = NULL,
  field.names = NULL
)

Arguments

ukb.data

tab delimited UK Biobank phenotype file. The file should include fields of gender, year of birth, BMI, ethnic background, SES, and smoking.

ABO.data

Latest yyyymmdd_covid19_misc.txt file.

hesin.file

Latest yyyymmdd_hesin.txt file.

res.eng

Latest covid result file/files for England.

res.wal

Latest covid result file/files for Wales. Only available for downloads after April 2021.

res.sco

Latest covid result file/files for Scotland. Only available for downloads after April 2021.

fields

User specified field codes from ukb.data file.

field.names

User specified field names.

Value

Outputs a covariate table, used for input for other functions. Automatically returns sex, age at birthday in 2020, SES, self-reported ethnicity, most recently reported BMI, most recently reported pack-years, whether they reside in aged care (based on hospital admissions data, and covid test data) and blood type. Function also allows user to specify fields of interest (field codes, provided by UK Biobank), and allows the users to specify more intuitive names, for selected fields.

Examples

## Not run: 
covars <- risk_factor(ukb.data=covid_example("sim_ukb.tab.gz"),
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"))

## End(Not run)

Sample QC for genetic analyses

Description

Sample QC for genetic analyses

Usage

sampleQC(ukb.data, withdrawnFile, ancestry = "all", software = "SAIGE", outDir)

Arguments

ukb.data

tab delimited UK Biobank phenotype file, containing sample qc fields (with default UKBiobank codes as column names)

withdrawnFile

csv file with withdrawn IDs from UK Biobank

ancestry

specify "WhiteBritish" or "all" - defaults to "all"

software

specify "SAIGE" or "plink" - defaults to "SAIGE"

outDir

specify directory for sample QC file and inclusion/exclusion lists

Value

outputs sample QC file, and sample inclusion / exclusion lists for specified software

Examples

## Not run: 
sampleQC(ukb.data=covid_example("sim_ukb.tab.gz"), 
withdrawnFile=covid_example("sim_withdrawn.csv.gz"), 
ancestry="all", 
software="SAIGE", 
outDir=covid_example("results"))

## End(Not run)

Variant QC for Genetic Analyses

Description

Variant QC for Genetic Analyses

Usage

variantQC(snpQcFile, mfiDir, mafFilt = 0.001, infoFilt = 0.5, outDir)

Arguments

snpQcFile

file containing SNP QC info (ukb_snp_qc.txt)

mfiDir

directory where the per chromosome UKBiobank MAF/INFO files (ukb_mfi_chr*_v3.txt) are located

mafFilt

minor allele frequency filter - default 0.001

infoFilt

imputation quality (INFO) score filter - default 0.5

outDir

output directory

Value

outputs 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.

Examples

## Not run: 
variantQC(snpQcFile=covid_example("sim_ukb_snp_qc.txt.gz"), 
mfiDir=covid_example("alleleFreqs"), 
mafFilt=0.001, 
infoFilt=0.5, 
outDir=covid_example("results"))

## End(Not run)