Duration:
1 Semester | Turnus of offer:
each winter semester | Credit points:
4 |
Course of studies, specific field and terms: - Bachelor CLS 2023 (compulsory), mathematics, 3rd or 5th semester
- Master Medical Informatics 2019 (optional subject), Medical Data Science / Artificial Intelligence, 1st or 2nd semester
- Bachelor CLS 2016 (compulsory), mathematics, 3rd or 5th semester
- Master Medical Informatics 2014 (optional subject), ehealth / infomatics, 1st or 2nd semester
- Master Computer Science 2012 (optional subject), specialization field medical informatics, 3rd semester
- Bachelor CLS 2010 (compulsory), mathematics, 3rd or 5th semester
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Classes and lectures: - Genetic Epidemiology 1 (exercise, 1 SWS)
- Genetic Epidemiology 1 (lecture, 2 SWS)
| Workload: - 45 Hours in-classroom work
- 15 Hours exam preparation
- 60 Hours private studies
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Contents of teaching: | - Monogenic and complex diseases
- Hardy-Weinberg-equilibrium
- Coupling imbalance
- Genetic markers and genotyping
- Quality control
- Basics of association analysis
- Genome-wide association studies
- Population stratification
- Gene-environment interaction
- Replication, meta-analysis and imputation
- Ethical aspects
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Qualification-goals/Competencies: - Students are able to describe the generation of genetic data, its error sources and methods of detection.
- They can select and describe the most important approaches for genetic epidemiological association studies on the level of single markers.
- They are able to apply the basic test procedures manually and to interpret the results.
- They are able to describe the statistical evaluation steps in a genome-wide association study and interpret the results.
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Grading through: - Written or oral exam as announced by the examiner
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Is requisite for: |
Requires: |
Responsible for this module: - Prof. Dr. rer. nat. Silke Szymczak
Teachers: - Prof. Dr. rer. nat. Silke Szymczak
- MitarbeiterInnen des Instituts
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Literature: - Ziegler A, König IR.: A statistical approach to genetic epidemiology. Concepts and applications. - 2010. ISBN: 978-3-527-32389-0
- Bickeböller H, Fischer, C: Einführung in die Genetische Epidemiologie - 2007. ISBN: 978-3-540-25616-8
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Language: |
Notes:Prerequisites for attending the module: - None (The competencies of the modules listed under 'Requires' are needed for this module, but are not a formal prerequisite) Prerequisites for the exam: - Examination prerequisites can be defined at the beginning of the semester. If preliminary work is defined, it must have been completed and positively evaluated before the first examination. Module exam(s): - MA3200-L1: Genetic Epidemiology 1, oral exam, 30 min, or written exam, 90 min, 100% of module grade |
Letzte Änderung: 12.9.2024 |
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