Learning Objectives

  • run example GWAS using plink
  • recognize plink data formats
  • perform QC with plink
  • run association with plink
  • interpret output of plink

Material

We will follow the tutorial published here by Marees et al A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis

See the README file of the tutorial here

Lab

Download the tutorial files

An easy way to get the tutorial files is git cloning the repository

git clone https://github.com/MareesAT/GWA_tutorial.git

You should see something like this

Data format

1. GWAS QC

To look at the figures on your local machine, you can use scp or rsync

rsync -avz  haky@midway2.rcc.uchicago.edu:/project2/bios25328/haky/GWA_tutorial/1_QC_GWAS ~/Downloads/lab2/ 

This will copy everything you have under the directory. You can selectively copy to your local machine as follows

scp haky@midway2:/project2/bios25328/haky/GWA_tutorial/1_QC_GWAS/histimiss.pdf .

References

Marees, AT, de Kluiver, H, Stringer, S, et al. A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis. Int J Methods Psychiatr Res. 2018; 27:e1608. https://doi.org/10.1002/mpr.1608

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The source code is licensed under MIT.

Suggest changes

If you find any mistakes (including typos) or want to suggest changes, please feel free to edit the source file of this page on Github and create a pull request.

Citation

For attribution, please cite this work as

Haky Im (2021). Lab 2 GWAS in Practice. BIOS 25328 Cancer Genomics Class Notes. /post/2021/04/09/lab-2-gwas-in-practice/

BibTeX citation

@misc{
  title = "Lab 2 GWAS in Practice",
  author = "Haky Im",
  year = "2021",
  journal = "BIOS 25328 Cancer Genomics Class Notes",
  note = "/post/2021/04/09/lab-2-gwas-in-practice/"
}