This tutorial provides a step-by-step guide to performing basic polygenic risk score (PRS) analyses and accompanies our PRS Guide paper. The aim of this tutorial is to provide a simple introduction of PRS analyses to those new to PRS, while equipping existing users with a better understanding of the processes and implementation "underneath the hood" of popular PRS software.
The tutorial is separated into four main sections and reflects the structure of our guide paper: the first two sections on QC correspond to Section 2 of the paper and constitute a 'QC checklist' for PRS analyses, the third section on calculating PRS (here with examples using PLINK, PRSice-2, LDpred-2 and lassosum) corresponds to Section 3 of the paper, while the fourth section, which provides some examples of visualising PRS results, accompanies Section 4 of the paper.
- Quality Control (QC) of Base Data
- Quality Control (QC) of Target Data
- Calculating and analysing PRS
- Visualising PRS Results
We will be referring to our guide paper in each section and so you may find it helpful to have the paper open as you go through the tutorial.
Data used in this tutorial are simulated and intended for demonstration purposes only. The results from this tutorial will not reflect the true performance of different software.
We assume you have basic knownledges on how to use the terminal,
If you are unfamiliar with any of those, you can refer to the following online resources:
|terminal (OS X / Linux)||1, 2|
|terminal (Windows)||1, 2|
This tutorial is written for Linux and OS X operating systems. Windows users will need to change some commands accordingly.
Throughout the tutorial you will see tabs above some of the code:
echo "Tab A"
echo "Tab B"
You can click on the tab to change to an alternative code (eg. to a different operation system)
To follow the tutorial, you will need the following programs installed:
If you find this tutorial helpful for a publication, then please consider citing:
Choi, S.W., Mak, T.S. & O’Reilly, P.F. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc (2020). https://doi.org/10.1038/s41596-020-0353-1