This page contains the material for the course on GWAS of Life Science Informatics Msc programme at the University of Helsinki.
The course is lectured every second year. The next course will be given in period IV of 2024-2025, that is, in March-May 2025.
Lecture notes and exercises are by Matti Pirinen and distributed under CC-BY-SA license. The slides contain individual figures from literature, as clearly indicated on each slide, and their copyright belongs to the original publisher.
| Topic | Notes | Slides |
|---|---|---|
| 1. What is a GWAS? | html pdf Rmd | |
| 2. P-values in GWAS | html pdf Rmd | |
| 3. Statistical power | html pdf Rmd | |
| 4. Bayesian inference | html pdf Rmd | |
| 5. Relatedness and population structure | html pdf Rmd | |
| 6. Confounders and covariates | html pdf Rmd | |
| 7. Linkage disequilibrium (LD) and fine-mapping | html pdf Rmd | |
| 8. Heritability and mixed models | html pdf Rmd | |
| 9. Meta-analysis and summary statistics | html pdf Rmd | |
| 10. Genotype imputation | html pdf Rmd | |
| 11. Mendelian randomization | html pdf Rmd | |
| 12. Success and criticism of GWAS |
Contact: matti.pirinen'at'helsinki.fi
Updated: 18-Sep-2023