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Module Guide before WS 2016/17

Modul MA4661-KP08, MA4661

Genetic Epidemiology 2 (GenEpi2)

Duration:


1 Semester
Turnus of offer:


each summer semester
Credit points:


8
Course of studies, specific field and terms:
  • Bachelor CLS 2016 (optional subject), mathematics, 6th semester
  • Master CLS 2016 (compulsory), MML with specialization in Genetic Statistics, 2nd semester
  • Bachelor CLS 2023 (optional suject), mathematics, 6th semester
  • Master CLS 2023 (compulsory), MML with specialization in Genetic Statistics, 2nd 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:
  • Study designs for genetic epidemiological linkage studies within families
  • Model-based linkage analysis: Linkage of two markers, linkage of one marker with one phenotype
  • Model-free linkage analysis: Tests for sib-pairs
  • Model-free linkage analysis: Extensions to many markers and extended pedigrees
  • Linkage analysis for quantitative phenotypes: Haseman-Elston method and its extensions, variance components models
  • Sample size estimation for linkage analysis
  • Family based association tests
  • Data analysis for genetic association studies
  • Analysis of family study data
Qualification-goals/Competencies:
  • The students are able to describe the most important study designs for genetic epidemiological linkage studies within families.
  • They are able to name and describe the most important approaches for linkage analysis with qualititative and quantitative phenotypes.
  • They are able to apply basic test statistics manually and interpret the results.
  • They are able to apply more complex test statistics using the computer and interpret the results.
  • They can conduct a standard quality control in genetic association studies in PLINK.
  • They can conduct basic analyses of genetic association studies in PLINK.
  • They can perform different types of linkage analysis in MERLIN.
  • They will be able to perform basic evaluations of family-based association analyses in PLINK.
  • 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.
  • They have the communication competence to present ideas and solutions in oral and written form.
Grading through:
  • Written or oral exam as announced by the examiner
Is requisite for:
Requires:
Responsible for this module:
  • Prof. Dr. rer. nat. Silke Szymczak
Teachers:
  • Prof. Dr. rer. nat. Silke Szymczak
  • MitarbeiterInnen des Instituts
Literature:
  • Ziegler A, König IR.: A statistical approach to genetic epidemiology. Concepts and applications. - 2010. ISBN: 978-3-527-32389-0
Language:
  • offered only in German
Notes:

Prerequisite tasks for taking the exam can be announced at the beginning of the semester. If any prerequisite tasks are defined, they must be completed and passed before taking the exam for the first time.

Letzte Änderung:
22.11.2021