GWAS with the Genomics Sandbox (March 2025)

Genomics logo
The GWAS with the Genomics Sandbox course is a 4-day course designed to provide comprehensive training in Genome-Wide Association Studies (GWAS).
 

On the first day, participants will engage in lectures and discussions on foundational genetics concepts, setting the stage for the rest of the course. Attendees will then be guided through every step of a typical GWAS study, from data preprocessing and quality control to the interpretation of results.

A key feature of the course is a hands-on GWAS case study, where participants will work through the entire process from start to finish. This will include handling missing genotypes, performing linear regression analyses for association testing, and understanding linkage disequilibrium for fine-mapping and haplotype construction.

Throughout the course, participants will gain practical insights into the technical challenges and best practices for conducting GWAS using high-performance computing resources. In addition to real-world case studies and recent applications, the course will highlight common limitations and biases in GWAS studies that researchers should be aware of.

 

Requirements

The workshop is for researchers, professors, and PhD students at SUND who are interested in learning the different steps involved in a GWAS study and using them to build a structured pipeline for semi-automated GWAS analyses using high-performance computing resources. 

    Exercises will be run on an HPC platform, and participants will be expected to build on existing familiarity with bioinformatics tools and the scripting languages bash and R/Python.

     

    Interested?

    ➡️ If you are an employee, sign up here

    ➡️ If you are a PhD student, sign up here

     

    Course Disclaimers: 
        • The course is free of charge and intended for all KU researchers, and especially PhD students, at SUND
        • A no-show fee will be implemented for registrants who do not attend the course
        • If you are a PhD student and you would like to receive ECTS credits for participating in this course, you must enroll through the PhD school system
        • If you are not a PhD student and sign up via the PhD school registration link, you will be charged for the course
        • Please be advised that course participation via the PhD school happens under the PhD school's terms and conditions which HeaDS has no influence over