IWAS - A novel approach to analyzing Next Generation Sequence data for immunology

Benjamin Vincent, Adam Buntzman, Benjamin Hopson, Chris McEwen, Lindsay Cowell, Ali Akoglu, Helen Zhang, Jeffrey A Frelinger

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this communication we describe a novel way to use Next Generation Sequence from the receptors expressed on T and B cells. This informatics methodology is named iWAS, for immunonome Wide Association Study, where we use the immune receptor sequences derived from T and B cells and the features of those receptors (sequences themselves, V/J gene usage, length and character each of the CDR3 sub-regions) to define biomarkers of health and disease, as well as responses to therapies. Unlike GWAS, which do not provide immediate access to mechanism, the associations with immune receptors immediately suggest possible and plausible entrée's into disease pathogenesis and treatment.

Original languageEnglish (US)
JournalCellular Immunology
DOIs
StateAccepted/In press - Oct 1 2015

Fingerprint

Allergy and Immunology
B-Lymphocytes
T-Lymphocytes
Informatics
Genome-Wide Association Study
Biomarkers
Health
Genes
Therapeutics

Keywords

  • Association study
  • Immune receptors
  • Repertoire
  • V(D)J recombination

ASJC Scopus subject areas

  • Immunology

Cite this

IWAS - A novel approach to analyzing Next Generation Sequence data for immunology. / Vincent, Benjamin; Buntzman, Adam; Hopson, Benjamin; McEwen, Chris; Cowell, Lindsay; Akoglu, Ali; Zhang, Helen; Frelinger, Jeffrey A.

In: Cellular Immunology, 01.10.2015.

Research output: Contribution to journalArticle

Vincent, Benjamin ; Buntzman, Adam ; Hopson, Benjamin ; McEwen, Chris ; Cowell, Lindsay ; Akoglu, Ali ; Zhang, Helen ; Frelinger, Jeffrey A. / IWAS - A novel approach to analyzing Next Generation Sequence data for immunology. In: Cellular Immunology. 2015.
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