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T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
Published on: January 12, 2021
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iWAS--A novel approach to analyzing Next Generation Sequence data for immunology
Benjamin Vincent1, Adam Buntzman2, Benjamin Hopson3
1Department of Medicine, University of North Carolina, Chapel Hill, NC 2714, United States.
Cellular Immunology
|November 9, 2015
Summary
This study introduces immunonome Wide Association Study (iWAS), a new method using immune receptor sequences to find biomarkers for health, disease, and therapy response. iWAS offers mechanistic insights, unlike traditional GWAS.
Area of Science:
- Immunology
- Bioinformatics
- Genomics
Background:
- Next-Generation Sequencing (NGS) provides vast data on immune receptors.
- Current methods like Genome-Wide Association Studies (GWAS) lack immediate mechanistic insights.
- Understanding immune receptor variations is crucial for disease and therapy research.
Purpose of the Study:
- To introduce a novel informatics methodology, immunonome Wide Association Study (iWAS).
- To utilize immune receptor features for identifying biomarkers of health, disease, and therapy response.
- To provide a mechanism-driven approach to disease pathogenesis and treatment.
Main Methods:
- Employing Next-Generation Sequence data from T and B cell receptors.
- Analyzing immune receptor sequences, V/J gene usage, length, and CDR3 sub-region characteristics.
- Developing the iWAS informatics methodology.
Main Results:
- Demonstrated a novel approach to analyze immune receptor repertoire data.
- Established iWAS as a method to define biomarkers for health and disease.
- Showcased the potential for immediate mechanistic insights into disease.
Conclusions:
- iWAS offers a powerful, mechanism-informed alternative to traditional association studies.
- This methodology can accelerate the discovery of biomarkers and therapeutic targets.
- Immune receptor profiling through iWAS opens new avenues in understanding immune-mediated diseases.
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