Erasmus Summer Programme Courses

Take a look at all the courses in the Erasmus Summer Programme, and find the course right for you.

View all ESP courses

Advanced Analysis of Genome-wide Association Studies [ESP74]

Course highlights

EC points


Start date

12 August 2024

End date

16 August 2024

Course days

Monday to Friday (5 full days)

Course time

From 8:45 till 16:00 CEST


Prof. Fernando Rivadeneira, Dr. Carolina Medina Gomez and others

Course fee

€ 1058


Erasmus MC, Rotterdam NL




Basic understanding of genetic epidemiology and statistics (regression analysis and maximum likelihood estimation).

See course description below for more information.


  • Genetic Epidemiology
  • Methodology
  • Advanced Statistics

Course Materials

Digitally, download instructions will be sent before the start of the course, by e-mail.

Design your programme

Use our Programme Configurator to design and plan your own programme.


Apply for this course

Want to secure your seat in this course?

Apply here


Uarda Petriti


Learn from the best professors in medical science.

Read the full story

Detailed information about this course:


Faculty: Prof. Fernando Rivadeneira, MD PhD, Carolina Medina Gomez, PhD, Katerina Trajanoska, 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 quality control, genotype imputation, methods to detect and correct for stratification, meta-analysis and genomic annotation of GWAS signals. An overview of the most frequently used statistical tools will be accompanied by instructive hands-on computer exercises on the principles of analysis of quantitative traits and disease outcomes. State of the art procedures for running GWAS will be taught, including: Quality Control / QC (PLINK2); GWAS analysis correcting for structured data (SAIGE and REGENIE); GWAS Meta-analysis and QC (EasyQC; METAL). Post-GWAS functional follow-up procedures will include downstream analysis (Conditional analyses, FINEMAP and PRS). While theoretical background is provided on all topics, this is by definition a "hands-on" practical course, meaning you will spend most of the day performing genetic analyses. 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.

Participants of this course should be familiar running Linux commands and with running scripts and packages in R-programming language. These skills are taught in the NIHES courses: EL016 (GE14) "Linux for Scientists" and EL019 (GE03) "Genome-wide Association Studies"; and participants are encouraged to follow these courses in advance.


  • This course aims to train participants in the (advance) principles of GWAS, addressing aspects of study design, data analysis, extending to the interpretation and follow-up of results.
  • After completing the course, participants will be able to understand the principles of GWAS; perform genome-wide association analysis using state-of-the-art software tools; interpret GWAS results; and integrate them in a genomic context by means of web-based bioinformatics resources.

Participant profile

Clinical researchers, clinical epidemiologists, molecular biologists, bioinformaticians and biostatisticians aspiring to run analyses of genome-wide association studies.