GWAS Tutorial
This is a quickstart tutorial for performing genome-wide association studies using Glow.
You can view html versions of the notebooks and download them from the bottom of this page.
The notebooks are written in Python, with some visualization in R.
Tip
We recommend running the Data Simulation notebooks first to prepare data for this tutorial before trying with your own data.
Important
Notebooks in the Glow documentation are tested nightly.
1. Quality Control
The first notebook in this series prepares data by performing standard quality control procedures on simulated genotype data.
2. Glow Whole Genome Regression (GloWGR)
GloWGR implements a distributed version of the Regenie method. Please review the Regenie paper in Nature Genetics and the Regenie Github repo before implementing this method on real data.