cov_example

Dataset containing example covariate information for analysis

datasets

A novel statistical model to detect the joint genetic and dynamic gene-environment (GxE) interaction with continuous traits in genetic association studies. It uses varying-coefficient models to account for different GxE trajectories, regardless whether the relationship is linear or not. The package includes one function, GxEtest(), to test a single genetic variant (e.g., a single nucleotide polymorphism or SNP), and another function, GxEscreen(), to test for a set of genetic variants. The method involves a likelihood ratio test described in Crainiceanu, C. M., and Ruppert, D. (2004) <doi:10.1111/j.1467-9868.2004.00438.x>.

Sydney Manning

GEVACO

Joint Test of Gene and GxE Interactions via Varying Coefficients

cov_example function

A dataframe with 500 rows and 4 variables:<dl class="dl-horizontal">
 <dt>y</dt><dd>phenotypic factor of interest</dd>
 <dt>BMI</dt><dd>BMI in kg/m^2</dd>
 <dt>age</dt><dd>age in years</dd>
 <dt>sex</dt><dd>sex coded as 1 &amp; 2</dd>
 </dl>

Format

Covariate Information — cov_example

A dataframe with 500 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>y</dt><dd>phenotypic factor of interest</dd>
 <dt>BMI</dt><dd>BMI in kg/m^2</dd>
 <dt>age</dt><dd>age in years</dd>
 <dt>sex</dt><dd>sex coded as 1 &amp; 2</dd>
 </dl>

cov_example: Covariate Information

Description

Usage

Arguments

Format