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Method for identification of condition-associated public antigen receptor sequences
MV. Pogorelyy, AA. Minervina, DM. Chudakov, IZ. Mamedov, YB. Lebedev, T. Mora, AM. Walczak,
Language English Country England, Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
724208
European Research Council - International
NLK
Directory of Open Access Journals
from 2013
Free Medical Journals
from 2012
PubMed Central
from 2012
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ProQuest Central
from 2012-01-01
Open Access Digital Library
from 2012-01-01
Open Access Digital Library
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Health & Medicine (ProQuest)
from 2012-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2012
PubMed
29533178
DOI
10.7554/elife.33050
Knihovny.cz E-resources
- MeSH
- Adaptive Immunity genetics MeSH
- Cytomegalovirus immunology MeSH
- Diabetes Mellitus genetics immunology MeSH
- Genetic Variation immunology MeSH
- Complementarity Determining Regions genetics MeSH
- Humans MeSH
- Receptors, Antigen, B-Cell genetics MeSH
- Receptors, Antigen, T-Cell genetics immunology MeSH
- Receptors, Antigen genetics immunology MeSH
- Receptors, Immunologic genetics immunology MeSH
- High-Throughput Nucleotide Sequencing MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
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 one diabetes responsive TCR[Formula: see text] sequences .
References provided by Crossref.org
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