Genetic Association Analysis

This is a companion to Henry-Stewart talk by Zhao (2026, ), which gathers information, metadata and scripts to showcase modern genetic analysis -- ranging from testing of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with traits using genetic and statistical models, Bayesian implementation, power calculation in study design, and genetic annotation. It also covers R integration with the Linux environment, GitHub, package creation and web applications. The earlier version by Zhao (2009, ) provides a brief introduction to these topics.

output: github_document

Genetic Association Analysis

This is a companion to Henry-Stewart talk by Zhao (2026, <doi:10.69645/FRFQ9519>), which gathers information, metadata and scripts to showcase modern genetic analysis -- ranging from testing of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with traits using genetic and statistical models, Bayesian implementation, power calculation in study design, and genetic annotation. It also covers R integration with the Linux environment, GitHub, package creation and web applications. The earlier version by Zhao (2009, <doi:10.69645/DCRY5578>) provides a brief introduction to these topics.

Installation

The latest version of gaawr2 can be installed as usual:

1. Install from R

# CRAN
install.packages("gaawr2")

# GitHub
if (!requireNamespace("remotes", quietly = TRUE)) install.packages("remotes")
remotes::install_github("jinghuazhao/gaawr2")

2. Install from GitHub repository

git clone https://github.com/jinghuazhao/gaawr2
R CMD INSTALL gaawr2

Dependencies are detailed in the DECRIPTION file of the package at GitHub.

A summary of functions

This can be seen from R with

library(help=gaawr2)

or

library(gaawr2)
?gaawr2