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Title An introduction to genetic and molecular epidemiology
Course number 3077
Programme Epidemiologi
Language English
Credits 1.5
Date 2018-10-15 -- 2018-10-19
Responsible KI department Institutionen för medicinsk epidemiologi och biostatistik
Specific entry requirements Knowledge in epidemiology equivalent to the course Epidemiology I: Introduction to epidemiology or corresponding courses
Purpose of the course The course focuses on basic concepts, methods and study design in genetic and molecular epidemiology research.
Intended learning outcomes After successfully completing this course you are expected to be able to:
- Explain the basic organization of the human genome and the central dogma of eukaryote genetics.
- Describe the concepts of meiosis, recombination, linkage and linkage disequilibrium.
- Give examples of familial inheritance, discuss how twins can be used in genetic studies, and summarize the last decade´s breakthrough of genome-wide association analyses in complex diseases.
- Explain the different types of molecular omics techniques (epigenomics, proteomics, transcriptomics and metabolomics etc.) and how these methods could be used in epidemiological studies.
- Describe the fundamentals of study design, sample randomization, and common biases in analyses of genetic and molecular epidemiological data to draw conclusions on how new sample collections should be conducted.

Intended learning outcomes are classified according to Bloom's taxonomy: knowledge, comprehension,
application, analysis, synthesis, and evaluation (Bloom, 1956, extended by Anderson and Krathwohl, 2001).
Contents of the course The course is about concepts and methods used in studies of genetic variation influencing disease and other
phenotypes. It will cover basic genetic inheritance and how it influences complex and quantitative
traits, but will also cover common molecular methods applied in large-scale settings in epidemiology (epigenetics, transcriptomics, metabolomics, etc.).
Teaching and learning activities Flipped classroom approach (blended learning approach) with reading sessions, group discussions with invited experts, lectures, group seminars, and lab visits.
Compulsory elements The individual examination (summative assessment) is compulsory.
Examination The student has to show that all the intended learning outcomes have been achieved. An individual assessment of the learning outcomes will be a written home essay. Students who do not obtain a passing grade in the first examination will be offered a second chance of submission of home examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered.
Literature and other teaching material Recommended reading:
Scientific articles and handouts distributed before and during the course.
Number of students 8 - 25
Selection of students Eligible doctoral students, with required prerequisite knowledge, will be selected based on 1) the relevance of the syllabus for the applicant's doctoral project (according to written motivation), and 2) date for registration as doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a description of current research and motivation for attending, and an account of previous courses taken.
More information A flipped approach will be used as part of the course, where students will acquire knowledge before class sessions by reading scientific papers available on a learning platform. Classroom time will be used to deepen knowledge through discussions with peers and teachers. The learning platform will open the week before course start.
Additional course leader
Latest course evaluation Not available
Course responsible Sara Hägg
Institutionen för medicinsk epidemiologi och biostatistik

Sara.Hagg@ki.se
Contact person Gunilla Nilsson Roos
Institutionen för medicinsk epidemiologi och biostatistik
08-524 822 93
gunilla.nilsson.roos@ki.se