Module MA4661-KP08, MA4661

Genetic Epidemiology 2 (GenEpi2)

Duration:

1 Semester

Turnus of offer:

each summer semester

Credit points:

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

Classes and lectures:

Genetic Epidemiology 2 (practical course, 2 SWS)
Genetic Epidemiology 2 (lecture, 2 SWS)
Genetic Epidemiology 2 (exercise, 1 SWS)

Workload:

135 Hours private studies
30 Hours exam preparation
75 Hours in-classroom work

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 - Linkage analyses for quantitative phenotypes - Family-based association tests
Current topics in genetic epidemiology, e.g.: - Association tests for rare variants - Analysis of Omics data - 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)

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.

Grading through:

Written or oral exam as announced by the examiner

Is requisite for:

Seminar Genetic Epidemiology (MA5129-KP04, MA5129)

Requires:

Responsible for this module:

Prof. Dr. rer. nat. Silke Szymczak

Teachers:

Institute of Medical Biometry and Statistics

Prof. Dr. rer. nat. Silke Szymczak
MitarbeiterInnen des Instituts

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)

Language:

offered only in German

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

(Share of Institute of Medical Biometry and Statistics in V is 100%)
(Share of Institute of Medical Biometry and Statistics in Ü is 100%)
(Share of Institute of Medical Biometry and Statistics in P is 100%)

Letzte Änderung:

25.3.2025