SCAN:基于纳米孔的低成本决策支持工具,用于非整倍体的大规模筛查。

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Anne Kristine Schack, M Carmen Garrido-Navas, David Galevski, Gjorgji Madjarov, Lukasz Krych
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引用次数: 0

摘要

在发达国家,新生儿筛查(NBS)计划旨在发现可治疗但临床上无症状的疾病。在选择纳入 NBS 的疾病时,会考虑疾病的严重程度、治疗方法、发病率和分析成本。然而,由于高昂的费用和专业设备要求,许多遗传性疾病仍被排除在常规检测之外。在此,我们介绍一种新型、无创、经济高效的决策支持工具--SCAN,它利用纳米孔测序技术估算最常见非整倍体的染色体比例。SCAN 结合了 DNA 富集(扩增)、条形码、纳米孔测序和机器学习预测模型。在一项针对 Klinefelter 综合征的概念验证研究中,SCAN 实现了 100% 的灵敏度、特异性和准确性,成为世界上首个利用纳米孔测序技术的 IVD 认证基因测试。进一步的模型训练显示,该检测方法有望扩展到检测方案中包含的其他染色体非整倍体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SCAN: a nanopore-based, cost effective decision-supporting tool for mass screening of aneuploidies.

In developed countries, Newborn Screening (NBS) programs aim to detect treatable yet clinically silent disorders. The selection of disorders to be included in NBS considers severity, treatment availability, prevalence, and analysis cost. However, numerous genetic disorders remain excluded from routine testing due to high expenses and specialized equipment requirements. Here we present SCAN, a novel, non-invasive, and cost-effective decision-support tool utilizing nanopore sequencing for estimating proportions of chromosomes responsible for the most common aneuploidies. SCAN combines DNA enrichment (amplification), barcoding, nanopore sequencing, and machine learning predictive modeling. In a proof-of-concept study for Klinefelter Syndrome, SCAN achieved 100% sensitivity, specificity, and accuracy, becoming the world's first IVD-certified genetic test utilising nanopore sequencing. Further model training shows promise in expanding this assay to detect other chromosomal aneuploidies included in the protocol.

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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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