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 Frelinger

doi:10.1016/j.cellimm.2015.10.012

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 Frelinger

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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 language	English (US)
Pages (from-to)	6-13
Number of pages	8
Journal	Cellular Immunology
Volume	299
DOIs	https://doi.org/10.1016/j.cellimm.2015.10.012
State	Published - Jan 2016

Keywords

Association study
Immune receptors
Repertoire
V(D)J recombination

ASJC Scopus subject areas

Immunology

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10.1016/j.cellimm.2015.10.012

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title = "iWAS – A novel approach to analyzing Next Generation Sequence data for immunology",

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 entr{\'e}e's into disease pathogenesis and treatment.",

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AU - Vincent, Benjamin

AU - Buntzman, Adam

AU - Hopson, Benjamin

AU - McEwen, Chris

AU - Cowell, Lindsay

AU - Akoglu, Ali

AU - Zhang, Helen

AU - Frelinger, Jeffrey

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AB - 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.

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KW - Repertoire

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iWAS – A novel approach to analyzing Next Generation Sequence data for immunology

Abstract

Keywords

ASJC Scopus subject areas

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