Erasmus Summer Programme Courses

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Genome-wide association studies [ESP74]

Course highlights

ECTS

0.7

Start date

21 August 2017

End date

25 August 2017

Course days

Monday to Friday (5 mornings)

Course time

From 8:45 till 11:45

Faculty

Prof. Cornelia van Duijn, Dr. Fernando Rivadeneira

Course fee

€ 470

Location

Erasmus MC, Rotterdam NL

Level

Intermediate

Prerequisites

Basic understanding of genetic epidemiology (as covered by ESP43), the principles of linkage disequilibrium and the HapMap & 1000 Genomes project (as covered by ESP57) is advised.

Disciplines

  • Genetic Epidemiology

Course Materials

Online, download instructions will be sent in August by e-mail.

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Detailed information about this course:

Description

Faculty: Prof. Cornelia van Duijn, Ir. PhD & Fernando Rivadeneira, MD PhD

Genome-wide association studies (GWAS) constitute a powerful approach to investigate the genetic basis of multifactorial disorders. In the last decade, GWAS have yielded spectacular successes in the discovery of genes involved in complex traits and disorders (e.g. body height, BMI, cardiovascular disease, cancer and neurological disorders). This was made possible by the advent of high-throughput genotyping technology and the knowledge on genome structure and organization derived from the HapMap and 1000 Genomes Projects. Applying the GWAS approach has facilitated researchers to incorporate these analyses into large genetic, clinical and epidemiological studies.

This course aims to introduce epidemiologists, molecular biologists and clinicians into the basic principles of GWAS, addressing aspects of study design, data collection and analysis, extending to the interpretation and follow-up of results. The course consists of lectures providing a conceptual framework on crucial aspects of quality control, imputation of missing genotypes, statistical tools, methods to detect and correct for stratification, meta-analysis and genomic annotation of GWAS signals; accompanied by instructive hands-on computer exercises on the principles of analysis of quantitative traits and disease outcomes using software packages that are available in the public domain.

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

After completing the course, participants will be able to understand the principles of GWAS, perform a basic genome-wide association analysis, interpret results and integrate them in a genomic context by means of web-based bioinformatics resources.

Assessment

Attendance