Erasmus Summer Programme Courses
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Principles of Genetic Epidemiology [ESP43]
7 August 2023
11 August 2023
Monday to Friday (5 afternoons)
From 13:00 till 16:00 CEST
Dr. Mohsen Ghanbari, Dr. Abbas Dehghan
Erasmus MC, Rotterdam NL
There are no prerequisites for this course, but a relevant background of human genetics and statistics is recommended.
- Genetic Epidemiology
- Pharmaco Epidemiology
Digitally, download instructions will be sent before the start of the course, by e-mail.
Specific software for analysis: Linux and R.
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Detailed information about this course:
Faculty: Abbas Dehghan MD, PhD (Associate professor, Imperial College London), Mohsen Ghanbari MD, PhD (Associate professor, Erasmus MC) and others
This course aims to give a basic introduction to methods used in classical genetic epidemiology. In combination with the other course Advanced Analysis of Genome-wide Association Studies present in the Erasmus Summer Programme, the course offers an excellent introduction to genetic epidemiologic research. The course targets a wide-range of participants, including students, epidemiologists, clinicians and molecular biologists with no or little background in genetic epidemiology. The relevant background of human genetics and statistics is presented. Participants are introduced to the basic principles of population genetics, segregation, linkage and association analyses. The course consists of theoretical lectures and (optional) practical sessions after the class. The goal of the course is that participants are able to understand and interpret the findings in modern genetic research.
- Understand the fundamental concepts and principles of genetic epidemiology;
- Acquaint with the methods and applications of genetic epidemiology;
- Apply resources and current technology used in genetic epidemiology;
- Analyze and interpret population-based genetic association studies.
The course targets a wide range of participants, including students, epidemiologists, clinicians and molecular biologists with little or no background in genetic epidemiology.