Erasmus Summer Programme Courses
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View all ESP coursesAnalysis of Genome-wide Association Studies [ESP74]
Course highlights
EC points
1.4
Start date
11 August 2025
End date
15 August 2025
Course days
Monday to Friday (5 full days)
Course time
From 8:45 till 16:00 CEST
Faculty
Prof. Fernando Rivadeneira, Dr. Katerina Trajanoska and others
Course fee
€ 1090
Location
Erasmus MC, Rotterdam NL
Level
Intermediate
Prerequisites
Basic understanding of genetic, epidemiological and biostatistical concepts
See course description below for more information.
Disciplines
- Genetic Epidemiology
- Methodology
- Biostatistics
Course Materials
Digitally, download instructions will be sent before the start of the course, by e-mail.
Bring your own device!
For this course it is important you bring your own laptop and adapter. Please make sure you have downloaded the software as stated in the course description before class (if applicable).
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Zimbabwe
The professors - who are at the cutting edge in their respective fields - bring science to life!
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Description
Faculty: Prof. Fernando Rivadeneira, MD PhD, Katerina Trajanoska, MD PhD and others Genome-wide association studies (GWAS) constitute a powerful approach to investigate the genetic basis of complex traits and disorders. The course consists of lectures providing a conceptual framework on crucial aspects of genetic association like linkage disequilibrium, haplotype analysis, quality control, strategies to detect and correct for genetic relatedness and population stratification, genotype imputation, meta-analysis and genomic annotation of GWAS signals. An overview of the most frequently used command line instructions will be taught in hands-on computer exercises using the program PLINK2 and the web tools LD-LINK & FUMA, illustrating the principles of analysing quantitative and disease traits. Interpretation of the output from large GWAS and meta-analyses will be followed by an overview of downstream functional analysis and translational genomic applications (including fine-mapping, colocalization, pleiotropy, gene-drug target characterisation, and polygenic risk score analysis). The course format will allow interactive break-out discussion sessions on theoretical and practical aspects of running GWAS, together with expert advice procurement on diverse components of collaborative research within networks and consortia.
Objectives
- This course aims to train participants in the basic principles of running, interpreting and following-up genome-wide association studies (GWAS).
- After completing the course, participants will be able to understand the principles of the GWAS approach; perform simple GWAS analyses using PLINK2; get acquainted with command lines and options for different advanced software; interpret GWAS results; and integrate them in translational genomics applications.
Participant profile
Clinical researchers, clinical epidemiologists, molecular biologists, bioinformaticians and biostatisticians aspiring to run basic analyses of genome-wide association studies.
Assessment
Attendance
