Development and validation of a multiplex chip-based droplet digital PCR method for detecting CNVs in 7q11.2 and 22q11.2 regions.

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-02-01 Epub Date: 2024-12-19 DOI:10.1016/j.cca.2024.120100
Tianjiao Li, Kunlun Yin, Yue Yang, Sirui Zhou, Fengming Luo, Wenke Li, Kun Zhao, Bianmei Han, Xuewen Liu, Wen Chen
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Abstract

Copy number variations (CNVs) in the 7q11.2 and 22q11.2 chromosomal regions are major contributors to genetic disorders such as Williams-Beuren syndrome and 22q11.2 deletion/duplication syndromes. These disorders are characterized by facial anomalies, growth retardation, intellectual disabilities, and lethal cardiovascular abnormalities. Despite the development and clinical application of various rapid molecular tests, each has significant limitations. We developed a multiplex chip-based droplet digital PCR (ddPCR) method for detecting microdeletions and microduplications in the 7q11.2 and 22q11.2 regions. We evaluated its linearity and reproducibility and tested it on 100 clinical patients with congenital heart defects to further verify its clinical applicability. We successfully developed a method capable of simultaneously detecting four types of CNVs in a single assay, demonstrating high accuracy and reproducibility. Compared to traditional methods, our approach depicted 100% concordance for positive and negative results. Additionally, our method accurately quantified target gene concentrations, allowing for precise evaluation of CNVs in the target regions. This study introduces a rapid, technically straightforward, and efficient quantitative chip-based ddPCR method for the detailed classification of CNVs in the 7q11.2 and 22q11.2 regions. Our findings indicated that chip-based ddPCR can be seamlessly implemented as a first-line screening tool in routine diagnostics.

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基于多芯片的液滴数字PCR检测7q11.2和22q11.2区域CNVs方法的开发与验证
7q11.2和22q11.2染色体区域的拷贝数变异(cnv)是导致Williams-Beuren综合征和22q11.2缺失/重复综合征等遗传疾病的主要因素。这些疾病的特点是面部异常、生长迟缓、智力残疾和致命的心血管异常。尽管各种快速分子检测的发展和临床应用,每一个都有显著的局限性。我们开发了一种基于多重芯片的微滴数字PCR (ddPCR)方法,用于检测7q11.2和22q11.2区域的微缺失和微重复。我们评价了其线性度和可重复性,并对100例先天性心脏缺陷患者进行了临床检验,进一步验证了其临床适用性。我们成功开发了一种方法,能够在一次检测中同时检测四种类型的CNVs,具有较高的准确性和重复性。与传统方法相比,我们的方法描述了阳性和阴性结果100%的一致性。此外,我们的方法准确地量化了靶基因浓度,从而可以精确地评估靶区域的CNVs。本研究介绍了一种快速、技术简单、高效的基于芯片的ddPCR定量方法,用于对7q11.2和22q11.2区域的CNVs进行详细分类。我们的研究结果表明,基于芯片的ddPCR可以作为常规诊断的一线筛查工具无缝实施。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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