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基于微阵列的快速低成本基因分型在原发性免疫缺陷症的遗传筛查中的应用。

Rapid Low-Cost Microarray-Based Genotyping for Genetic Screening in Primary Immunodeficiency.

机构信息

Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, Netherlands.

Pediatric Allergy & Clinical Immunology Research Unit, Division of Allergy and Immunology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand.

出版信息

Front Immunol. 2020 Apr 15;11:614. doi: 10.3389/fimmu.2020.00614. eCollection 2020.

DOI:10.3389/fimmu.2020.00614
PMID:32373116
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7179678/
Abstract

Genetic tests for primary immunodeficiency disorders (PIDs) are expensive, time-consuming, and not easily accessible in developing countries. Therefore, we studied the feasibility of a customized single nucleotide variant (SNV) microarray that we developed to detect disease-causing variants and copy number variation (CNV) in patients with PIDs for only 40 Euros. Probes were custom-designed to genotype 9,415 variants of 277 PID-related genes, and were added to the genome-wide Illumina Global Screening Array (GSA). Data analysis of GSA was performed using Illumina GenomeStudio 2.0, Biodiscovery Nexus 10.0, and R-3.4.4 software. Validation of genotype calling was performed by comparing the GSA with whole-genome sequencing (WGS) data of 56 non-PID controls. DNA samples of 95 clinically diagnosed PID patients, of which 60 patients (63%) had a genetically established diagnosis (by Next-Generation Sequencing (NGS) PID panels or Sanger sequencing), were analyzed to test the performance of the GSA. The additional SNVs detected by GSA were validated by Sanger sequencing. Genotype calling of the customized array had an accuracy rate of 99.7%. The sensitivity for detecting rare PID variants was high (87%). The single sample replication in two runs was high (94.9%). The customized GSA was able to generate a genetic diagnosis in 37 out of 95 patients (39%). These 37 patients included 29 patients in whom the genetic variants were confirmed by conventional methods (26 patients by SNV and 3 by CNV analysis), while in 8 patients a new genetic diagnosis was established (6 patients by SNV and 2 patients suspected for leukemia by CNV analysis). Twenty-eight patients could not be detected due to the limited coverage of the custom probes. However, the diagnostic yield can potentially be increased when newly updated variants are added. Our robust customized GSA seems to be a promising first-line rapid screening tool for PIDs at an affordable price, which opens opportunities for low-cost genetic testing in developing countries. The technique is scalable, allows numerous new genetic variants to be added, and offers the potential for genetic testing not only in PIDs, but also in many other genetic diseases.

摘要

原发性免疫缺陷病(PID)的基因检测既昂贵又耗时,在发展中国家也不容易获得。因此,我们研究了一种定制的单核苷酸变异(SNV)微阵列的可行性,该微阵列的开发旨在仅花费 40 欧元检测 PID 患者的致病变异和拷贝数变异(CNV)。 探针是为基因分型 277 个 PID 相关基因中的 9415 个变体而定制设计的,并添加到全基因组 Illumina 全球筛选阵列(GSA)中。使用 Illumina GenomeStudio 2.0、Biodiscovery Nexus 10.0 和 R-3.4.4 软件对 GSA 数据进行分析。通过将 GSA 与 56 名非 PID 对照的全基因组测序(WGS)数据进行比较,对基因型调用的验证进行了评估。对 95 名临床诊断为 PID 的患者的 DNA 样本进行了分析,其中 60 名患者(63%)通过下一代测序(NGS)PID 面板或 Sanger 测序进行了基因诊断。该研究检测了 GSA 的性能。通过 Sanger 测序验证了 GSA 检测到的额外 SNV。定制阵列的基因型调用准确率为 99.7%。检测罕见 PID 变异的灵敏度较高(87%)。两次运行的单个样本重复率较高(94.9%)。定制 GSA 能够在 95 名患者中的 37 名(39%)患者中生成遗传诊断。这 37 名患者包括 29 名通过传统方法(26 名通过 SNV,3 名通过 CNV 分析)确认遗传变异的患者,而 8 名患者建立了新的遗传诊断(6 名通过 SNV,2 名疑似 CNV 分析的白血病患者)。由于定制探针的覆盖范围有限,28 名患者无法被检测到。然而,当添加新的更新变体时,诊断率可能会提高。 我们稳健的定制 GSA 似乎是一种有前途的一线快速筛查工具,价格实惠,为发展中国家提供了低成本的基因检测机会。该技术具有可扩展性,允许添加许多新的遗传变异,并且不仅可以在 PID 中,而且可以在许多其他遗传疾病中进行基因检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7df/7179678/8ba8fad8af7a/fimmu-11-00614-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7df/7179678/92c433041073/fimmu-11-00614-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7df/7179678/8ba8fad8af7a/fimmu-11-00614-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7df/7179678/92c433041073/fimmu-11-00614-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7df/7179678/8ba8fad8af7a/fimmu-11-00614-g0002.jpg

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本文引用的文献

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J Clin Immunol. 2020 Jan;40(1):24-64. doi: 10.1007/s10875-019-00737-x. Epub 2020 Jan 17.
2
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J Clin Immunol. 2019 Aug;39(6):577-591. doi: 10.1007/s10875-019-00656-x. Epub 2019 Jun 28.
3
LRBA Deficiency in a Patient With a Novel Homozygous Mutation Due to Chromosome 4 Segmental Uniparental Isodisomy.
BMC Genomics. 2024 Sep 18;25(1):873. doi: 10.1186/s12864-024-10753-w.
4
Assessing the Phenotype of a Homologous Recombination Deficiency Using High Resolution Array-Based Comparative Genome Hybridization in Ovarian Cancer.应用高分辨率基于阵列的比较基因组杂交技术评估卵巢癌同源重组缺陷的表型。
Int J Mol Sci. 2023 Dec 14;24(24):17467. doi: 10.3390/ijms242417467.
5
Imputation strategies for genomic prediction using nanopore sequencing.利用纳米孔测序进行基因组预测的插补策略。
BMC Biol. 2023 Dec 8;21(1):286. doi: 10.1186/s12915-023-01782-0.
6
Low-Cost High-Throughput Genotyping for Diagnosing Familial Hypercholesterolemia.低成本高通量基因分型用于诊断家族性高胆固醇血症。
Circ Genom Precis Med. 2023 Oct;16(5):462-469. doi: 10.1161/CIRCGEN.123.004103. Epub 2023 Sep 7.
7
Design and characterization of a high-resolution multiple-SNP capture array by target sequencing for sheep.通过目标测序设计和表征绵羊高分辨率多 SNP 捕获阵列。
J Anim Sci. 2023 Jan 3;101. doi: 10.1093/jas/skac383.
8
From the prodromal stage of multiple sclerosis to disease prevention.从多发性硬化症的前驱期到疾病预防。
Nat Rev Neurol. 2022 Sep;18(9):559-572. doi: 10.1038/s41582-022-00686-x. Epub 2022 Jul 15.
9
Droplet digital PCR for identifying copy number variations in patients with primary immunodeficiency disorders.微滴式数字 PCR 用于鉴定原发性免疫缺陷疾病患者的拷贝数变异。
Clin Exp Immunol. 2022 May 12;207(3):329-335. doi: 10.1093/cei/uxab034.
10
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BMC Med Genomics. 2022 Mar 14;15(1):56. doi: 10.1186/s12920-022-01199-8.
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Front Immunol. 2018 Oct 16;9:2397. doi: 10.3389/fimmu.2018.02397. eCollection 2018.
4
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J Clin Immunol. 2018 Apr;38(3):320-329. doi: 10.1007/s10875-018-0489-8. Epub 2018 Apr 19.
5
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J Clin Immunol. 2018 Jan;38(1):96-128. doi: 10.1007/s10875-017-0464-9. Epub 2017 Dec 11.
6
The 2017 IUIS Phenotypic Classification for Primary Immunodeficiencies.2017 年国际免疫学会联合会原发性免疫缺陷病表型分类
J Clin Immunol. 2018 Jan;38(1):129-143. doi: 10.1007/s10875-017-0465-8. Epub 2017 Dec 11.
7
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Semin Hematol. 2017 Apr;54(2):81-86. doi: 10.1053/j.seminhematol.2017.05.002. Epub 2017 May 10.
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The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies.人类基因突变数据库:致力于打造一个全面的遗传性突变数据仓库,服务于医学研究、基因诊断及新一代测序研究。
Hum Genet. 2017 Jun;136(6):665-677. doi: 10.1007/s00439-017-1779-6. Epub 2017 Mar 27.
9
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Microarrays (Basel). 2016 Oct 25;5(4):27. doi: 10.3390/microarrays5040027.
10
The 2015 IUIS Phenotypic Classification for Primary Immunodeficiencies.2015年国际免疫学会原发性免疫缺陷病表型分类
J Clin Immunol. 2015 Nov;35(8):727-38. doi: 10.1007/s10875-015-0198-5. Epub 2015 Oct 7.