Introduction to the statistical analysis of genome-wide association studies

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University of Surrey
Start - End
24 Jan - 28 Jan
Study Options
Full Time
£ 550 - 950
Contact Name
Inga Prokopenko


This course will enable human geneticists to analyse their large-scale genetic data using standard analytical approaches and freely available software tools. It will cover statistical backgrounds for association studies; a primer on scripting in the most frequently used computational environments, design and analysis of such studies, interpretation of the results.

Who is this course for?

This course is for geneticists facing the need to analyse from small to large-scale human genotyping data in relation to their effect on common human traits and diseases.

Scientists and students in training aiming to undertake SNP-based association analyses, genome-wide association studies and their meta-analyses.

Researchers willing to understand better the statistical approaches and analytical procedures for the genetic association studies.

Learning outcomes

On successful completion of this course, you will be able to:

  • Undertake quality control, imputation and analysis of genome-wide data using standard statistical approaches and software tools
  • Complete meta-analysis of genome-wide association studies and analysis of rare variants
  • Evaluate critically the results of association analysis and visualise them
  • Understand the study design and findings for publications in peer-reviewed journals.

Course content

Three guest lectures will be given by renowned scientists in the field of human genetics.

Indicative content includes, some or all of the following topics:

  • Introduction to statistics for geneticists
  • Introduction to Linux and R
  • Genome-wide association studies (GWAS)
  • Quality Control (QC) for GWAS
  • Association analysis
  • Population structure
  • Imputation of GWAS
  • Meta-analysis of GWAS
  • Analysis of rare variants
  • Genetic risk scores
  • Mendelian randomisation.

Example programme

The final programme and timings will be given to applicants prior to the course starting.

Take a look at our example timetable (PDF) to get an idea of timings and the structure of the week.

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