Short Course: “Introduction to the statistical analysis of genome-wide association studies”
Course Dates: 5-9 July 2021
Course Location: Online live/Distance Learning
Course Leader: Prof Inga Prokopenko
Course Lecturers: Prof Krista Fischer (Estonia), Prof Andrew Morris (UK), Prof Inga Prokopenko (UK), Prof Reedik Mägi (Estonia), Dr Marika Kaakinen (UK), Dr Ayse Demirkan (UK), Dr Anna Ulrich (UK)
Attendance fee: (pound sterling) £500 academic /£700 non-academic rate covering the course registration fee for full-time 5-day teaching and access to the course materials/registration after the course.
Deadline for applications: 11 June 2021. Deadline for late applications Monday 28 June 2021. Late applications will be considered with £200 increase in fees.
Fellowships: A limited number of the European Society of Human Genetics (ESHG) -funded scholarships are available for young scientists in training from European countries. Preference will be given to ESHG members and researchers from countries which are disadvantaged economically, although scholarships are not limited to these groups. Scholarships will cover the full attendance fee only.
Deadline for applications for Fellowships: 11 January 2021.
Applications and all accompanying documentation should be submitted to the Course Administrator using email: firstname.lastname@example.org
* The application documents should provide information (with examples) about your level of knowledge in human genetics, statistics, and programming in Unix/Linux/R and corresponding experience.
* When applying for Fellowship, the application documents should contain a respective justification.
Audience:Geneticistsfacing the need to analysefrom small tolarge-scale human genotyping data in relation to their effect on common human traits and diseases.Scientistsandstudents in trainingaiming to undertakeSNP-based association analyses,genome-wide association studies and their meta-analyses.Researcherswilling to understand better the statistical approaches and analytical procedures for the genetic association studies.
Applicants’ background: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.
Course content:This course will enable you to analyse 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. Practical exercises will be tailored to illustrate the ideas discussed during lectures and will be accompanied by discussion of the results.
Two guest lectureswill be given by renowned scientists in the field of human genetics.
There will be no need to bring own laptop or data. Computers will be available at the venue; datasets will be designed and provided for each analytical exercise.
Please refer to our website
https://www.surrey.ac.uk/cpd-and-short-courses/introduction-statistical-analysis-genome-wide-association-studies or the attached flyer and application form for more details.