colTDTmaxTest {trio} | R Documentation

## Maximum Genotypic TDT

### Description

Computes the maximum over the gTDT statistics for an additive, dominant, and recessive model. `colTDTmaxTest` additionally computes permutation-based p-values.

### Usage

    colTDTmaxTest(geno, perm = 10000, size = 50, chunk = 10000,
        minimum = 0.001, verbose = FALSE)
    colTDTmaxStat(geno, size = 50)

    ## S3 method for class 'maxTestTrio'
    print(x, top = 5, digits = 4, ...)
    ## S3 method for class 'maxStatTrio'
    print(x, top = 5, digits = 4, ...)

### Arguments

`geno` | a numeric matrix in which each column represents a SNP. Each column must be a numeric vector of length 3 * t representing a SNP genotyped at t trios. Each of the t blocks must consist of the genotypes of father, mother, and offspring (in this order). The genotypes must be coded by 0, 1, and 2. Missing values are allowed and need to be coded by `NA`. This matrix might be generated from a ped-file by, e.g., employing `ped2geno`.
`perm` | number of permutations of the response for which the permuted values of the test statistic should be computed.
`size` | number of SNPs that should be considered simultaneously when estimating the parameter.
`chunk` | number of permutations that should be considered simultaneously in the computation of the p-values
`minimum` | minimum value that a test statistic must show that for the corresponding SNP the p-value is computed.
`verbose` | logical indicating whether some information on what is currently computed should be printed.
`x` | an object of class `maxTestTrio` or `maxTestStat`, i.e. the output of `colTDTmaxTest` or of `colTDTmaxStat`.
`digits` | number of digits that should be printed.
`top` | number of interactions that should be printed. If the number of interactions is smaller than or equal to `top`, then the statistics for all interactions are printed in the order of their computation. Otherwise, they the `top` Top interactions are printed.
`...` | ignored.

### Value

For `colTDTmaxStat`, an object of class `maxStatTrio` consisting of a vector `stat` containing the values of the Max statistic for the SNPs in `geno`, a matrix `max.stat` containing the values of the gTDT statistic for testing an additive, a dominant, and a recessive effect, and additional information required by `colTDTmaxTest`.

For `colTDTmaxTest`, an object of class `maxTestTrio` consisting of `stat`, `max.stat`, and the unadjusted p-values `pval` corresponding to `stat`.

### Author(s)

Holger Schwender, holger.schwender@udo.edu

### References

Schwender, H., Taub, M.A., Beaty, T.H., Marazita, M.L., and Ruczinski, I. (2011). Rapid Testing of SNPs and Gene-Environment Interactions in Case-Parent Trio Data Based on Exact Analytic Parameter Estimation. Biometrics, 68, 766-773.

### See Also

`tdt`

### Examples

    # Load the simulated data.
    data(trio.data)

    # Perform a MAX test by only computing the MAX statistics.
    max.out <- colTDTmaxStat(mat.test)

    # Permutation-based p-values are additionally computed when using
    max.out2 <- colTDTmaxTest(mat.test)

[Package trio version 3.28.0 Index]