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贝叶斯单体型分析揭示的人抗体重链基因座的镶嵌缺失模式。

Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping.

机构信息

Faculty of Engineering, Bar Ilan University, 5290002, Ramat Gan, Israel.

KG Jebsen Centre for Coeliac Disease Research and Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway.

出版信息

Nat Commun. 2019 Feb 7;10(1):628. doi: 10.1038/s41467-019-08489-3.

Abstract

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.

摘要

高通量测序分析抗体库对于理解适应性免疫反应具有重要意义。我们对编码免疫球蛋白基因的基因组基因座的变异了解不完全,导致 VDJ 基因分配存在冲突,以及基因型和单倍型推断存在偏差。单倍型可以通过观察到三分之一人群中存在的IGHJ6 杂合性来推断。在这里,我们通过适应贝叶斯框架提出了一种确定 VDJ 单倍型的稳健新方法。我们的方法将单倍型推断扩展到基于 IGHD 和 IGHV 的分析,能够推断整个群体中缺失和拷贝数变异。为了测试这种方法,我们生成了一个多个体的幼稚 B 细胞库的数据集,发现了等位基因使用偏好,以及缺失的 IGHD 和 IGHV 基因的镶嵌、平铺模式。推断出的单倍型可能对遗传疾病易感性具有临床意义。我们的发现扩展了可以从抗体库测序数据中提取的知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f020/6367474/56c8284c528f/41467_2019_8489_Fig1_HTML.jpg

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