Course materials
Gene and environmental exposure interactions to understand human health and disease
The Gene-environmental interactions in human health and disease course, which focused on the complex interplay between genes and the environment in shaping human phenotypes, ran in March 2025. Here, we have made the course materials available for you to access any time.
Using these materials
Using these materials
These course materials provide a mixture of pre-recorded lectures, presentations and practicals to help advance your knowledge and skills in the analysis of biological data. You may select your topic of interest from the Course content page to view the relevant materials or work your way through all the course materials.
To find out more about the trainers who created these materials, follow the links from the Course content page or go directly to the Trainer biographies page. You can also find the software requirements for the practicals in the Technical help sheet.
In the Further learning section you may explore the details about the EMBL-EBI’s free access online tutorials and webinars on a variety of life sciences topics.
Learning outcomes
After the course you should be able to:
- Discuss the types, limitations, and advantages of human cohort datasets.
- Discuss the types, limitations, and advantages of different environmental readouts, including proxies for exposures in human cohorts.
- Explain the ethical and legal frameworks governing human data reuse and request access to datasets of interest in compliance with legal and ethical standards.
- Use and explain the need for Federated/Trusted Research Environments.
- Employ relevant computational methods and resources to investigate gene and environment interactions and interpret the results.
- Understand how to apply techniques (GWAS, Mendelian Randomisation, predictive modelling) to analyse cohort datasets and how to interpret these results.
Material collection editors
- Dayane Rodrigues Araujo, EMBL-EBI
- Amy Louise Foreman, EMBL-EBI
DOI:
10.6019/TOL.HumanEcosystems-t.2024.00001.1