Nihes organizes the following short courses - at introductory, intermediate and advances level - in genetic epidemiology:
Principles of Genetic Epidemiology (ESP43)
Genomics in Molecular Medicine (ESP57)
Large-scale Multicenter Studies (ESP58)
Genome Wide Association Analysis (ESP29)
Genetic-epidemiologic Research Methods (GE02)
SNPs and Human Diseases (GE08)
Introduction to Clinical and Public Health Genomics (EWP11)
Advances in Genome-Wide Association Studies (GE03) close
This 5-day advanced course aims to give an overview of new developments in the field of genome wide association studies for those with a background in genetics, epidemiology or statistics. In the first part of the course, issues concerning the design and analysis of genome-wide association (GWA) analysis will be covered using standard software such as Plink and genABEL. This part will include quality control, hands-on GWA analysis of quantitative and binary traits, methods to detect and correct for stratification, and to model epistastasis. In the second part we will extend to an integrated approach of data analysis including eSNPs and new developments in the analysis of whole sequence data.
| |
| Coördinator: | Cornelia van Duijn |
| Faculty: | Dr. Paul Scheet , Maria Liljelund , Timo Kanninen , Dr. Cecile Janssens , Prof. Dr. Simon Heath , Dr. Lude Franke , Prof. Dr. Cornelia van Duijn , Prof. David Balding and Dr. Yurii Aulchenko |
| Date: | Feb, 2011 |
| Location: | Erasmus MC, Rotterdam |
| ECTS: | 1.4 ECTS |
| Prerequisites: | Understanding of genetic epidemiology (ESP29 level) and Statistics (regression analysis and maximum likelihood estimation); familiarity with PC-compatible computers is required. |
| Application code: | GE03 |
| Course fee: | € 830 |
Extensive course description: | |
Family-based Genetic Analysis (GE05)
Ethical, Legal and Societal Aspects of Genomics (GE09)
Mendelian Randomisation and Applications of Bayesian graphical modelling in genetic epidemiology (GE12)
