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Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping
Analysis of antibody repertoires by high-throughput sequencing is of major importance in understanding adaptive immune responses. Our knowledge of variations in the genomic loci encoding immunoglobulin genes is incomplete, resulting in conflicting VDJ gene assignments and biased genotype and haploty...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367474/ https://www.ncbi.nlm.nih.gov/pubmed/30733445 http://dx.doi.org/10.1038/s41467-019-08489-3 |
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author | Gidoni, Moriah Snir, Omri Peres, Ayelet Polak, Pazit Lindeman, Ida Mikocziova, Ivana Sarna, Vikas Kumar Lundin, Knut E. A. Clouser, Christopher Vigneault, Francois Collins, Andrew M. Sollid, Ludvig M. Yaari, Gur |
author_facet | Gidoni, Moriah Snir, Omri Peres, Ayelet Polak, Pazit Lindeman, Ida Mikocziova, Ivana Sarna, Vikas Kumar Lundin, Knut E. A. Clouser, Christopher Vigneault, Francois Collins, Andrew M. Sollid, Ludvig M. Yaari, Gur |
author_sort | Gidoni, Moriah |
collection | PubMed |
description | Analysis of antibody repertoires by high-throughput sequencing is of major importance in understanding adaptive immune responses. Our knowledge of variations in the genomic loci encoding immunoglobulin genes is incomplete, resulting in conflicting VDJ gene assignments and biased genotype and haplotype inference. Haplotypes can be inferred using IGHJ6 heterozygosity, observed in one third of the people. Here, we propose a robust novel method for determining VDJ haplotypes by adapting a Bayesian framework. Our method extends haplotype inference to IGHD- and IGHV-based analysis, enabling inference of deletions and copy number variations in the entire population. To test this method, we generated a multi-individual data set of naive B-cell repertoires, and found allele usage bias, as well as a mosaic, tiled pattern of deleted IGHD and IGHV genes. The inferred haplotypes may have clinical implications for genetic disease predispositions. Our findings expand the knowledge that can be extracted from antibody repertoire sequencing data. |
format | Online Article Text |
id | pubmed-6367474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63674742019-02-11 Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping Gidoni, Moriah Snir, Omri Peres, Ayelet Polak, Pazit Lindeman, Ida Mikocziova, Ivana Sarna, Vikas Kumar Lundin, Knut E. A. Clouser, Christopher Vigneault, Francois Collins, Andrew M. Sollid, Ludvig M. Yaari, Gur Nat Commun Article Analysis of antibody repertoires by high-throughput sequencing is of major importance in understanding adaptive immune responses. Our knowledge of variations in the genomic loci encoding immunoglobulin genes is incomplete, resulting in conflicting VDJ gene assignments and biased genotype and haplotype inference. Haplotypes can be inferred using IGHJ6 heterozygosity, observed in one third of the people. Here, we propose a robust novel method for determining VDJ haplotypes by adapting a Bayesian framework. Our method extends haplotype inference to IGHD- and IGHV-based analysis, enabling inference of deletions and copy number variations in the entire population. To test this method, we generated a multi-individual data set of naive B-cell repertoires, and found allele usage bias, as well as a mosaic, tiled pattern of deleted IGHD and IGHV genes. The inferred haplotypes may have clinical implications for genetic disease predispositions. Our findings expand the knowledge that can be extracted from antibody repertoire sequencing data. Nature Publishing Group UK 2019-02-07 /pmc/articles/PMC6367474/ /pubmed/30733445 http://dx.doi.org/10.1038/s41467-019-08489-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gidoni, Moriah Snir, Omri Peres, Ayelet Polak, Pazit Lindeman, Ida Mikocziova, Ivana Sarna, Vikas Kumar Lundin, Knut E. A. Clouser, Christopher Vigneault, Francois Collins, Andrew M. Sollid, Ludvig M. Yaari, Gur Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping |
title | Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping |
title_full | Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping |
title_fullStr | Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping |
title_full_unstemmed | Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping |
title_short | Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping |
title_sort | mosaic deletion patterns of the human antibody heavy chain gene locus shown by bayesian haplotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367474/ https://www.ncbi.nlm.nih.gov/pubmed/30733445 http://dx.doi.org/10.1038/s41467-019-08489-3 |
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