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Genome-wide association studies (GWAS) provide insights into the genetic architecture of disease by identifying susceptibility loci for the disease within a population. If you'd like to identify disease genes and novel biological pathways that underlay the disease pathogenesis to identify novel drug targets, QIAGEN Ingenuity Pathway Analysis (IPA) helps you characterize and validate risk loci within a biological context. In this training, you'll discover how to perform a core analysis for a list of risk loci to study their association with different pathways and regulatory networks.
You'll learn how to:
• Upload and perform a core analysis on a list of GWAS risk loci
• Investigate pathways and regulatory networks to understand biological mechanisms
• Compare enrichment between risk loci analysis to identify biological similarities and difference
• Identify commonalities and differences between risk loci list
• Generate a custom network and contextualize it using public data
• Export high-resolution images and comprehensive tabular results in preferred formats
