Method for identification of condition-associated public antigen receptor sequences

Abstract

Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. The development of immunoglobulin receptor repertoire sequencing methods makes it possible to perform repertoire-wide disease association studies of antigen receptor sequences. We developed a statistical framework for associating receptors to disease from only a small cohort of patients, with no need for a control cohort. Our method successfully identifies previously validated Cytomegalovirus and type 1 diabetes responsive receptors.

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Cited by in corpus (7)

• IGoR: a tool for high-throughput immune repertoire analysis
• OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifs
• Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires
• Detecting T-cell receptors involved in immune responses from single repertoire snapshots
• Precise tracking of vaccine-responding T-cell clones reveals convergent and personalized response in identical twins
• Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombination
• Quantitative Immunology for Physicists