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Overview
This Introduction to the Statistical Analysis of Genome-Wide Association Studies course offered at the University of Surrey will enable you to analyse large-scale genetic data using standard analytical approaches and freely available software tools.
Key facts
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.
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.
Programme Structure
Topics include:
- Genome-wise association studies
- Quality Control (QC) for Genome-wide association studies
- Association analysis
- Population structure
- Imputation of Genome-wide association studies
- Meta-analysis of Genome-wide association studies
- Analysis of rare variants
- Genetic risk scores (polygenic risk scores)
- Mendelian Randomization
Key information
Duration
- Part-time
- 5 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
- Start date: To be confirmed
Language
English
Delivered
Online
Campus Location
- Guildford, United Kingdom
Disciplines
Statistics View 19 other Short Courses in Statistics in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Entry requirements:
- There are no prerequisites required to do this course.
- Applicants should understand basic genetic principles such as modes of inheritance, DNA and gene structure, SNPs and other genetic variants, principles of crossing over and recombination, concepts of heritability and penetrance.
- Additionally, knowledge of basic statistical tests and some command line scripting skills would be an advantage.
Tuition Fees
Additional Details
- Fees are to be confirmed
Funding
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