Genome / Transcriptome-Wide Association Analysis

This course introduces GWAS and TWAS methods for identifying genetic biomarkers using statistical association methods, SNP analysis, haplotype blocks, linkage disequilibrium, and transcriptome-wide association pipelines. Course code: G-TWAS Workload: 12 lectures, 3 hours each. Total workload: 42 hours: 36 hours of lectures and tutorials and 6 hours of self studies. Entrance requirements: Basic knowledge of bioinformatics. Used media: PowerPoint presentation

Objectives

• Understand GWAS analysis and genetic biomarkers
• Preprocess and examine GWAS data using R, Haploview, and PLINK
• Postprocess GWAS results using R
• Apply TWAS using the FUSION pipeline

Competences to be Developed

• Overview of GWAS analysis
• Preprocessing GWAS data using R
• Examining GWAS data using Haploview and PLINK
• Postprocessing GWAS results using R
• Applying TWAS using FUSION pipeline

Assessment

• Finalize a research project applying learned methods
• Compile project outcomes into a high-quality research article ready for peer-review submission
• Present and scientifically review all projects in the last lecture

Assessment and completion

• Quizzes: 20%
• Assessments: 30%
• Final / Graduation Project: 50%
• Overall passing grade: 60%
• Minimum project grade: 50%
• All mandatory components must be completed
• One reassessment or resubmission opportunity is available for a failed mandatory assessment or final project