Module guide

Module MA3200-KP04, MA3200

Genetic Epidemiology 1 (GenEpi1)


1 Semester
Turnus of offer:

each winter semester
Credit points:

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
Classes and lectures:
  • Genetic Epidemiology 1 (exercise, 1 SWS)
  • Genetic Epidemiology 1 (lecture, 2 SWS)
  • 60 Hours private studies
  • 15 Hours exam preparation
  • 45 Hours in-classroom work
Contents of teaching:
  • Fundamentals in molecular genetics: Genetic information, transmission and variation of genetic information, genotyping methods
  • Fundamentals in formal genetics: Mendelian laws, segregation patterns, Hardy-Weinberg-equilibrium
  • Genetic markers
  • Data quality: Errors in the data, methods of error detection
  • Association studies: Study designs, tests, estimates, linkage disequilibrium, bias in the data
  • Genome-wide association: Study designs, implementation, specific problems
  • 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.
  • They have the methodological competence to solve large-scale tasks cost- and time- efficiently.
  • They have the management competence to organize their own work and that of collaborators involved in the project.
  • They have the methods competence to develop solutions with limited resources (time, personnel, etc.) that comply with general quality criteria.
Grading through:
  • Written or oral exam as announced by the examiner
Is requisite for:
Responsible for this module:
  • Prof. Dr. Silke Szymczak
  • Prof. Dr. Silke Szymczak
  • MitarbeiterInnen des Instituts
  • 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
  • German or English

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: