Students working at computers

May 16-17, 2019

Register for the courseDownload the course schedule (PDF)

Key information

Date and times
May 16 - 17, 2019
10:00 - 17:00

Location
MSc Room, Medical School Building, St Mary's Campus, Imperial College London

Cost
Registration fee: £300
PdD students receive a 50% discount
MSc students could register at a fee of £50 with a letter of support from their supervisor

Application deadline
Applications will close May 10, 2019

Course Directors
Abbas Dehghan
Verena Zuber

Tutors
Verena Zuber
Abbas Dehghan
Cosetta Minelli
Kostas Tsilidis

Course Organisers
Abbas Dehghan
Verena Zuber
Ahlam Khamliche

Overview

Mendelian Randomisation is a method that is applied to observational data using genetic information and could provide evidence for causality. The approach has become popular in recent years due to improvements in methods and wealth of genetic associations that became available in the past decade through genome-wide association studies (GWAS). It is a great opportunity to learn this method and apply it to your own research. We are aiming to set this course as an introduction to the topic to make it suitable for students who are completely unfamiliar with the approach, however, we try to address advanced cutting-edge methods that are used in Mendelian Randomisation studies nowadays. The course will include lectures as well as hands-on practical exercises to enable participants to conduct their own analysis after completing the course.

Course aims

Participants will have a thorough understanding of the general concept of Mendelian Randomisation and statistical approaches building on that framework. They will be able to run their own analysis, interpret the results, and critically read the literature.

Requirements for applicants

The applicants should be familiar with basic statistical analysis including applying regression models and basic concepts in genetic epidemiology. The analysis will be done using R. All applicants should be familiar with the software. We ask the applicants to bring their own laptop with the latest version of R or R-Studio installed.

If you want to register for the course and pay via invoice please contact Ahlam Khamliche.