Performs the likelihood ratio test for epistatic interactions proposed by Cordell (2002) for case-control data, where
colEpistatic assumes that each column represents a SNP, and rowEpistatic assumes that each row represents a SNP.
colEpistatic(mat.snp, cl, genes = NULL, warnError = TRUE)
rowEpistatic(mat.snp, cl, genes = NULL, warnError = TRUE)# S3 method for colEpi
print(x, top = 5, digits = 4, ...)
a matrix containing genotype data, where the genotypes of each SNPs need to be coded by the number of minor alleles,
i.e. 0, 1, and 2. Missing values are allowed. For colEpistatic, each column of mat.snp is assumed to represent a SNP, and
each row a subject. For rowEpistatic, each row of mat.snp is assumed to represent a subject, and each column a SNP.
a numeric vector of ones and zeros specifying which of the subjects in mat.snp are cases (coded by 1) and which are
controls (coded by 0).
a character vector containing the names of the genes (or, e.g., LD-blocks or pathways) to which the SNPs belong. If specified,
only the two-way interactions between SNPs from different genetic sets (e.g., genes, LD-blocks, or pathways) are tested.
If NULL, all two-way interactions between all possible pairs of SNPs are tested.
logical indicating whether the statistics for the gTDT for pairs of SNPs should be returned as NA if the fitting
of one of the logistic regression models with glm returns warning. If warnError = FALSE,
these warnings will be ignored, and the gTDT will be performed also for these SNP pairs.
an object of class colEpi, i.e. the output of either colEpistatic or rowEpistatic.
number of interactions that should be printed. If top is set to 0 or 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,
the top interactions with the smallest p-values are printed (sorted by their p-values).
number of digits that should be printed.
ignored.
An object of class colEpi consisting of
a numeric vector containing the values of the maximized loglikelihoods of the logistic regression models considering only main effects,
a numeric vector containing the values the maximized loglikelihoods of the logistic regression models additionally containing interaction terms,
a vector comprising the values of the test statistic,
a vector comprising the corresponding p-values,
if genes has been specified, a vector composed of the gene pairs to which the SNP pairs belong,
if warnError = TRUE, a list in which an entry corresponding to a SNP pair for which the fitting of (at least)
one of the logistic regression models led to a warning shows this warning message of glm, and all other entries
are NULL.
Cordell, H. J. (2002). Epistasis: What it Means, what it Doesn't mean, and Statistical Methods to Detect it in Humans. Human Molecular Genetics, 11, 2463-2468.