Introduction to the Analysis of Population Proteomics & Metabolomics
[ EL020 ]

This course aims to give an introduction to the analysis of proteomics and metabolomics data, two emerging approaches that help better understanding of molecular pathways and promise identification of novel biomarkers for complex diseases. The course offers an excellent introduction to these ‘omic’ topics and gives the opportunity to analyse example datasets.

The course targets a wide-range of participants, including students, epidemiologists, clinicians and molecular biologists with little background in genetic epidemiology. Participants are introduced to the basic principles of protein and metabolite profiling and association analyses at population level. The relevant background of genetic epidemiology and statistics is presented.

The course consists of two parts: theoretical lectures and practical assignments. The goal of the course is that participants are able to analyze and interpret the findings in modern population genetic and genomic research.

At the end of this course, students should be able to:

• Understand the fundamental concepts and principles relevant for analyzing proteomics and metabolomics data;

• Understand the technical background, quality control and normalization, analytical approaches, and applications of proteomics and metabolomics;

• Apply resources and current technology used in proteomics and metabolomics;

• Analyze and interpret datasets of population-based proteomics and metabolomics.

This is a basic course targets a wide range of participants (students, epidemiologists, clinicians and molecular biologists) with a basic understanding of genetic epidemiology. There is no specific prerequisites for this course, but a relevant background of genetic epidemiology and basic familiarity with R are recommended.

Assignment(s), Attendance

T.B.A.