GxE.scan {CGEN} | R Documentation

## GxE analysis for an array of SNPs

### Description

Performs analyses for a scan of SNPs.

### Usage

    GxE.scan(snp.list, pheno.list, op=NULL)

### Arguments

`snp.list` | See `snp.list`. No default.
`pheno.list` | See `pheno.list`. No default.
`op` | See details for this list of options. The default is NULL.

### Details

For proper anlaysis of imputed SNPs, the only option that should be used is `model`=3 (`snp.score`)

See the vignette `vignette_GxE` for examples of running this function. To use this function, the data must be stored in files as defined in `snp.list` and `pheno.list`. See the examples on how to create these lists. The format of the genotype data must be a format where the SNPs are rows (`snp.list$format`="impute", "ldat", "tped") or a format where either the GLU software or PLINK software can read and transform the data. Options for setting the path to GLU or PLINK are found in `snp.list`. The genotype data is read in from the file `snp.list$file`, and the variables for the main effects and interactions are read in from the file `pheno.list$file`. The subjects to be included in the analysis are the subjects with matching ids in the phenotype and genotype data.

Users can easily run their own customized scan by setting the option `model` to 0 and setting the option `scan.func` to their own scan function. The vignette "vignette_GxE" has examples of user-defined scans.

Options list op: Below are the names for the options list `op`. All names have default values if they are not specified.

- `model` 0-4, where 1 = `snp.logistic`, 2 = `additive.test`, 3 = `snp.score`, 4 = `snp.matched` and 0 is for a user defined function. The default is 1.

- `out.file` File name to save the results. If NULL, then the output file will be created in the working directory as `paste(getwd(), "/GxE.scan.output.txt", sep="")`.

- `scan.func.op` List of specific options for the scan function. For `model`=1-4, see `snp.logistic`, `additive.test`, `snp.score` or `snp.matched` for these options. The default is NULL.

- `geno.counts` 0 or 1 to write the genotype frequency counts to the output file. The default is 1.

- `geno.MAF` 0 or 1 to write the SNP MAF to the output file. The default is 1.

- `geno.missRate` 0 or 1 to write the SNP missing rate to the output file. The default is 1.

- `output.methods` Character vector of "UML", "CML", "EB" to only output results for specific methods. This option is only for `snp.logistic` and `snp.score`. The default is c("UML", "CML", "EB").

- `output.parms` 0 or 1 to output parameter estimates. This option is only for `snp.logistic` and `snp.score`. The default is 0.

- `output.sandwich` 0 or 1 to output sandwich covariance estimates. This option is only for `snp.score`. The default is 0.

Advanced options:

- `scan.func` (For `model` = 0). The name of the user-defined scan function. This function must have 2 input arguments and return a named list or named vector. See the vignette "vignette_GxE" for examples. The default is NULL.

- `scan.setup.func` (For `model` = 0). NULL or the name of the user-defined function called after the phenotype data is read in and before the genotype data is read. This function is not required for `model` = 0. This function must have 2 input arguments and return NULL or a named list. See the vignette "vignette_GxE" for examples. The default is NULL.

Output variable names: The output file will contain columns for the SNP, MAF, missing rate, and genotype frequency counts. Other columns are specific for the specified `model`. A column denoted by `*.Inter.Pvalue` is a p-value from a Wald test involving the interaction terms of the SNP and exposure variables. A column denoted by `*.Omnibus.Pvalue` is a p-value from a Wald test involving the main effect of the SNP and interaction terms of the SNP and exposure variables.

### Value

The name of the output file containing the results. See the option `out.file`. See details for the column names in the output file.

### See Also

`GxE.scan.partition`, `GxE.scan.combine`

### Examples

     # Define the list for the genotype data.
     snp.list <- list()
     snp.list$file <- system.file("sampleData", "geno_data.ldat.gz", package="CGEN")
     snp.list$file.type <- 7
     snp.list$delimiter <- "\t"
     snp.list$in.miss <- "  "

     # Only process the first 5 SNPs in the file
     snp.list$start.vec <- 1
     snp.list$stop.vec <- 6

     # Define pheno.list
     pheno.list <- list()
     pheno.list$file <- system.file("sampleData", "Xdata.txt", package="CGEN")
     pheno.list$file.type <- 3
     pheno.list$delimiter <- "\t"
     pheno.list$id.var <- "id"

     # Define the variables in the model
     pheno.list$response.var <- "case.control"
     pheno.list$strata.var <- "ethnic.group"
     pheno.list$main.vars <- c("age.group", "oral.years", "n.children")
     pheno.list$int.vars <- "n.children"

     # Define the list of options
     op <- list(out.file="out.txt")

     # For this model, all variables are continuous
     # temp <- GxE.scan(snp.list, pheno.list, op=op)

[Package CGEN version 3.20.0 Index]