Introduction to the statistical analysis of genome-wide association studies
Tuesday 4 July - Saturday 8 July 2017
Duration: 5 Days, 4-8 July
Organising department: Genomics of Common Disease
Location: Hammersmith Campus, London, UK
Course fee: Academic £850, non-academic £1250
Course leader: Inga Prokopenko
The course will enable human geneticists to analyse their large-scale genetic data using standard analytical approaches and freely available software tools. The course will cover statistical background for association studies; primer on scripting in the most frequently used computational environments, design and analysis of such studies, interpretation of the results. Each topic will be covered by a lecture, followed by a practical exercise, which will include use of the state-of-art software tools and example datasets.
At the end of the course participants will be able to undertake quality control, imputation and analysis of genome-wide data using standard statistical approaches and software tools. Meta-analysis of genome-wide association studies and analysis of rare variants will also be among their skills. They will be able to evaluate critically the results of association analysis and visualise them. They will know the requirements to the study design and findings for publications in peer-reviewed journals.
Attendance fee: £850/£1250 (pounds sterling, academic/non-academic rate) to include course registration fee, lunch, 5 nights’ accommodation (extra nights can be booked at own expense). Payment information will be provided to applicants after their registration has been verified.
The 2017 course is now closed for further applications as all places were taken. Please check back or register your interest with email@example.com for next year.
Please contact firstname.lastname@example.org for enquiries.
A limited number of ESHG scholarships are available for young scientists in training from European countries. Preference will be given to ESHG members and researchers from ESHG-specified countries which are disadvantaged economically, although scholarships are not limited these groups. Scholarships will cover the full attendance fee only- beneficiaries would still need to pay for their own travel and subsistence needs.
Please note a cancellation fee may be required if the attendee changes their mind (see terms and conditions)
Closing date for scholarship application 20 April 2017.
Closing date for course will be when all places are taken.
Organising Committee: Prof Philippe Froguel, Dr Inga Prokopenko, Dr Nick Henriquez, Mrs Patricia Murphy