Duration:
1 Semester | Turnus of offer:
each summer semester | Credit points:
8 |
Course of studies, specific field and terms: - Master CLS 2023 (compulsory), MML with specialization in Genetic Statistics, 2nd semester
- Bachelor CLS 2023 (optional suject), mathematics, 6th semester
- Bachelor CLS 2016 (optional subject), mathematics, 6th semester
- Master CLS 2016 (compulsory), MML with specialization in Genetic Statistics, 2nd semester
- Bachelor CLS 2010 (optional subject), mathematics, 6th semester
- Master CLS 2010 (optional subject), mathematics, Arbitrary semester
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Classes and lectures: - Genetic Epidemiology 2 (practical course, 2 SWS)
- Genetic Epidemiology 2 (lecture, 2 SWS)
- Genetic Epidemiology 2 (exercise, 1 SWS)
| Workload: - 75 Hours in-classroom work
- 30 Hours exam preparation
- 135 Hours private studies
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Contents of teaching: | - Classical methods of genetic epidemiology:
- Familial aggregation and heritability
- Model-based linkage analysis
- Model-free linkage analysis
- Linkage analysis for quantitative phenotypes
- Family-based association tests
- Current topics in genetic epidemiology, e.g.:
- Association tests for rare variants
- Association analysis for gene expression (eQTL, TWAS)
- Polygenic scores
- Mendelian randomization
- Analysis of genetic data using specialized software packages (such as PLINK and MERLIN):
- Genome-wide association studies
- Family studies (linkage and association analyses)
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Qualification-goals/Competencies: - Students will be able to name and describe the most important procedures for linkage and association analysis in family studies.
- They know current analysis methods in genetic epidemiology.
- They can perform elementary tests by hand and interpret the results.
- They will be able to use software for more complex testing procedures 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, Andreas; König Inke R (2010): A Statistical Approach to Genetic Epidemiology. Concepts and Applications - 2nd ed., Wiley-VCH: Weinheim
- Bickeböller, Heike; Fischer, Christine (2007): Einführung in die Genetische Epidemiologie - Springer: New York
- Recent review articles: (to be announced in lecture)
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Language: |
Notes:Admission requirements for taking the module: - None (The competencies of the modules listed under 'Requires' are needed for this module, but are not a formal prerequisite) Admission requirements for participation in module examination(s): - 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): - MA4661-L1: Genetic Epidemiology 2, written exam (90 min) or oral exam (30 min), 100 % of module grade - MA4661-L2: Practical Course Genetic Epidemiology 2, ungraded practical course, 0 % of module grade, must be passed |
Letzte Änderung: 6.2.2023 |
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