All_header

example_data

pheno

<ul>
<li>All_header. ID for all samples that are available in at least one type of data</li>
<li>pheno. phenotype file. 1st column is ID, 2nd column is disease status, 3rd column is age, 4th column is gender</li>
<li>G. genotypes for 3 genes. G[[i]] is for the ith genes. In each G[[i]], the 1st column is ID and the rest columns are genotypes</li>
<li>M. methylated sites 3 genes. M[[i]] is for the ith genes. In each M[[i]], the 1st column is ID and the rest columns are methylated sites</li>
<li>R. RNA expression for 3 genes. R[[i]] is for the ith genes. In each R[[i]], the 1st column is ID and the rest columns (usually one column) are RNA expression</li>
</ul>

The separate p-values of SNPs, RNA expressions and DNA
methylations are calculated by KM regression. The correlation between
different omics data are taken into account. This method can be applied to
either samples with all three types of omics data or samples with two types.

Qi Yan

example_data: This is the data for examples

Description

Usage

Arguments