Genome wide association studies
Genome wide association studies
Overview
Summary
This lecture series introduces genome-wide association studies (GWAS), focusing on how genetic variation across the genome is analyzed to identify associations with complex traits and diseases. They explain the foundations of GWAS, including its history, study design, genotyping, quality control, and the interpretation of association signals. The day's lectures include key challenges such as population structure, multiple testing, and replication, as well as inflation due to gene-environment correlations and assortative mating.
- Originally presented: Day 4, June 4, 2026
- Lead: Abdel Abdellaoui
- Topics: Historical overview, PLINK, LMM GWAS, RAP, METAL, rGE and assortative mating, within-family GWAS, interpretation

Lectures
This series of lectures is available as a YouTube playlist.
Lecture 1: Historical overview
Lecture 2: Signal vs. noise
Lecture 3: Analyzing single cohorts, big biobanks, and cohorts combined
Lecture 4: Gene-environment correlations and assortative mating
Practicals
This practical is guided through Qualtrics.
Slides from the live session and practical.
- 2026 International Statistical Genetics Workshop
- 2026 practicals file collection
- Syllabus
- Day 0, Before the start of the course
- Day 1, June 1, Background
- Day 2, June 2, Working with data
- Day 3, June 3, Modeling genetic and environmental components
- Day 4, June 4, LMM GWAS
- Day 5, June 8, Prediction
- Day 6, June 9, Multivariate Concepts
- Day 7, June 10, Mendelian randomization
- Day 8, June 11, Biological Interpretation