Genetic Analysis of Population-based Association Studies

This advanced course aims to give researchers involved in genetic disease studies a firm grounding in the use of the latest statistical methods and software for analysis of genetic association studies. This includes both small-scale disease-specific studies and large-scale collaborative projects including those that can be used for analysis of multiple complex traits such as UK Biobank.

The course will cover both theoretical and practical aspects of the design and analysis of such studies. Each topic will include a lecture followed by a practical session in which state-of-the-art statistical software will be applied to relevant datasets. The practical sessions will illustrate the ideas presented in the lectures. All the software used will be freely available so that skills learned can be applied after the course.

The programme will also include seminars from internationally renowned researchers from the field of complex disease genetics, along with opportunities for participants to discuss their own research projects with course instructors and with each other.

Target audience and prerequisites

The course is open to scientists and clinicians engaged in relevant research. To ensure participants benefit fully from the course, applications should include clear evidence of the following existing knowledge and experience:

• a strong quantitative background (including some familiarity with statistics, mathematics or bioinformatics)
• a reasonable level of computer literacy
• a basic knowledge and understanding of genetics (both molecular genetics and concepts of inheritance/heritability)

The programme will include lecture and computer-based practical sessions covering the following topics:

Introduction to genetic association studies

• Overview and history of genetic association studies leading up to and including genome-wide association studies

Basic association analysis and meta-analysis

• Single marker association tests (frequentist and Bayesian approaches)
• Calculation of odds ratios and relative risks
• Logistic regression
• Meta-analysis (fixed-effects and random-effects)

Quality control and population structure

• Data quality control procedures to avoid the generation of spurious false positives in association studies
• The confounding effects of population structure on association studies and methods for protecting against these effects
• Multivariate (principal components) and mixed model approaches

Haplotype estimation and genotype imputation

• Methods for genotype imputation using publicly available reference panels
• Pre-phasing of haplotypes and imputation based on these inferred haplotypes
• Frequentist and Bayesian methods of testing association at imputed SNPs and indels
• Quality control for imputed SNPs
• Meta-analysis using imputed data

Heritability and mixed models

• Concepts of heritability and “missing heritability”
• Use of linear mixed modelling approaches to partition heritability and to adjust for population substructure and relatedness in genome-wide association studies

Analysis of rare variants

• Methods for analysing rare variants from re-sequencing, genotyping and imputation studies via “collapsing approaches”.
• Burden and dispersion tests of association

Post-GWAS interrogation

• Polygenic risk scores and Mendelian randomisation methods
• Multi-trait analyses
• Approaches for fine-mapping and follow-up of signals from genome-wide association studies, including trans-ethnic meta-analysis

Practical Sessions

Lectures are followed by practical sessions using realistic datasets so that students learn how to apply the theory. Students will use a variety of computer programs during the course including: IMPUTE2, SHAPEIT2, SNPTEST2, QCTOOL, META, EPACTS, GCTA, FaST-LMM, PLINK.

Learning outcomes

On completion of the course, participants can expect to:

• Understand the general principles, assumptions and basic techniques used in genetic association studies
• Read and comprehend scientific articles that present results for genome-wide association studies
• Analyse genetic data arising from genome-wide association studies, (including quality control checks, association testing between genotype and phenotype, and post-association fine-mapping of implicated loci to point to likely causal variants, genes and pathways)
• Perform imputation of variants that have not been directly genotyped, using information from genotyped genetic variants
• Perform analysis of common and rare variants, accounting for population structure and family data

Course instructors

Guest speakers

Prerequisites

The course is open to scientists and clinicians engaged in relevant research. To ensure participants benefit fully from the course, applications should include clear evidence of the following existing knowledge and experience:

• a strong quantitative background (including some familiarity with statistics, mathematics or bioinformatics)
• a reasonable level of computer literacy
• a basic knowledge and understanding of genetics (both molecular genetics and concepts of inheritance/heritability)

How to Apply

Please complete the online application form. Places are limited and will be awarded on merit. If you have any problems with the online application process, please contact us.

Please note: Applications must be supported by a recommendation from a scientific or clinical sponsor (e.g. supervisor, line manager or head of department). A request for a supporting statement will be sent to your nominated sponsor automatically during the application process. Applicants must ensure that their sponsor provides this supporting statement by the application deadline. Applications without a supporting statement cannot be considered.

Application Deadline: Closed

Travel visas
Successful applicants will be provided with a support letter for their visa application, if required.

Please visit the following websites for further information on visiting the UK:

• UK Border Agency website
• Information for general visitors and business visitors

*The course fee is subsidised by Wellcome Genome Campus Advanced Courses and Scientific Conferences and applies to non-commercial applicants. Please contact us for the commercial fee.

Bursaries

Limited bursaries are available (up to 50% reduction on the course fee) and are awarded on merit. If you would like to apply for a bursary, please complete the bursary section of the online application form.

Where there are many bursary applications, the selection committee may issue smaller amounts.

Bursaries can be applied for as part of the course application form. Applicants will be notified of a bursary award along with their place on the course, usually within one month of the application deadline. The decision of the selection committee is final.

Please note that both the applicant and sponsor are required to provide a justification for the bursary as part of the application.

Extra accommodation

If you wish to book onsite accommodation either side of the course dates, please contact the Conference Centre directly.

Additional funding opportunities
Visit our support page for additional financial support currently available.

Feedback from the 2017 course:

“Crystal clear lectures and detailed practicals. Great course. I definitely should have attended before.”
“I thought the course was excellent. I learned a lot more than I anticipated, particularly as most of the material was very new to me.”
“Keep up the good work! I will definitely recommend this course to others working with GWAS”
“The course was great, good teachers, plenty of time to ask questions and great practicals! And the Genome Campus facilities in general were very nice as well.”
“The course was exceptionally well-organized and the facilities, food, and accommodation were all of the highest standard.”
“Thank you to all the instructors and assistant instructors for their time and care in delivering their must needed wisdom.”
“Thank you for everything.”