ORunivariate: Function to compute univariate ORs for genetic predictors.
In PredictABEL: Assessment of risk prediction models

Description Usage Arguments Details Value See Also Examples

The function computes the univariate ORs with 95% CIs for genetic predictors.

1	ORunivariate(data, cOutcome, cGenPreds, filenameGeno, filenameAllele)

`data`	Data frame or matrix that includes the outcome and predictors variables.
`cOutcome`	Column number of the outcome variable. `cOutcome=2` means that the second column of the dataset is the outcome variable.
`cGenPreds`	Column numbers of genetic variables for which the ORs are calculated.
`filenameGeno`	Name of the output file in which the univariate ORs and frequencies per genotype will be saved. The file is saved in the working directory as a txt file. When no `filenameGeno` is specified, the output is not saved.
`filenameAllele`	Name of the output file in which the univariate ORs and frequencies per allele will be saved. The file is saved in the working directory as a txt file. When no `filenameAllele` is specified, the output is not saved.

The function computes the univariate ORs with 95% CIs for the specified genetic variants both per allele and per genotype. The ORs are saved with the data from which they are calculated. Genotype frequencies are provided for persons with and without the outcome of interest. The genotype or allele that is coded as '0' is considered as the reference to computes the ORs.

The function returns two different tables. One table contains genotype frequencies and univariate ORs with 95% CIs and the other contains allele frequencies and univariate ORs with 95% CIs.

ORmultivariate

# specify dataset with outcome and predictor variables 
data(ExampleData)
# specify column number of the outcome variable
cOutcome <- 2 
# specify column numbers of genetic predictors
cGenPreds <- c(11:13,16)

# compute univariate ORs
ORunivariate(data=ExampleData, cOutcome=cOutcome, cGenPreds=cGenPreds, 
filenameGeno="GenoOR.txt", filenameAllele="AlleleOR.txt")