Clinically significant findings in a decade-long retrospective study of prenatal chromosomal microarray testing.

IF 1.5 4区 医学 Q4 GENETICS & HEREDITY
Molecular Genetics & Genomic Medicine Pub Date : 2024-03-01 Epub Date: 2024-01-23 DOI:10.1002/mgg3.2349
Joie O Olayiwola, Mohammad Marhabaie, Daniel Koboldt, Theodora Matthews, Amy Siemon, Danielle Mouhlas, Taylor Porter, George Kyle, Cortlandt Myers, Hui Mei, Ying-Chen Claire Hou, Melanie Babcock, Jesse Hunter, Kathleen M Schieffer, Yassmine Akkari, Shalini Reshmi, Catherine Cottrell, Mariam T Mathew, Marco L Leung
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引用次数: 0

Abstract

Background: Chromosomal microarray (CMA) is commonly utilized in the obstetrics setting. CMA is recommended when one or more fetal structural abnormalities is identified. CMA is also commonly used to determine genetic etiologies for miscarriages, fetal demise, and confirming positive prenatal cell-free DNA screening results.

Methods: In this study, we retrospectively examined 523 prenatal and 319 products-of-conception (POC) CMA cases tested at Nationwide Children's Hospital from 2011 to 2020. We reviewed the referral indications, the diagnostic yield, and the reported copy number variants (CNV) findings.

Results: In our cohort, the diagnostic yield of clinically significant CNV findings for prenatal testing was 7.8% (n = 41/523) compared to POC testing (16.3%, n = 52/319). Abnormal ultrasound findings were the most common indication present in 81% of prenatal samples. Intrauterine fetal demise was the common indication identified in POC samples. The most common pathogenic finding observed in all samples was isolated trisomy 21, detected in seven samples.

Conclusion: Our CMA study supports the clinical utility of prenatal CMA for clinical management and identifying genetic etiology in POC arrays. In addition, it provides insight to the spectrum of prenatal and POC CMA results as detected in an academic hospital clinical laboratory setting that serves as a reference laboratory.

长达十年的产前染色体微阵列检测回顾性研究中的重大临床发现。
背景:染色体微阵列(CMA)通常用于产科。当发现一个或多个胎儿结构异常时,建议进行 CMA。CMA 也常用于确定流产、胎儿夭折的遗传病因,以及确认产前无细胞 DNA 筛查的阳性结果:在本研究中,我们回顾性地检查了 2011 年至 2020 年期间在全美儿童医院检测的 523 例产前 CMA 和 319 例受孕产物 (POC) CMA。我们回顾了转诊指征、诊断率和报告的拷贝数变异(CNV)结果:在我们的队列中,与 POC 检测(16.3%,n = 52/319)相比,产前检测具有临床意义的 CNV 结果的诊断率为 7.8%(n = 41/523)。在81%的产前样本中,异常超声检查结果是最常见的指征。宫内胎儿夭折是在 POC 样本中发现的常见指征。在所有样本中观察到的最常见致病结果是分离性 21 三体综合征,在 7 个样本中检测到:我们的 CMA 研究支持产前 CMA 在临床管理和 POC 阵列遗传病因鉴定中的临床实用性。此外,该研究还提供了在作为参考实验室的学术医院临床实验室环境中检测到的产前和 POC CMA 结果的范围。
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来源期刊
Molecular Genetics & Genomic Medicine
Molecular Genetics & Genomic Medicine Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
4.20
自引率
0.00%
发文量
241
审稿时长
14 weeks
期刊介绍: Molecular Genetics & Genomic Medicine is a peer-reviewed journal for rapid dissemination of quality research related to the dynamically developing areas of human, molecular and medical genetics. The journal publishes original research articles covering findings in phenotypic, molecular, biological, and genomic aspects of genomic variation, inherited disorders and birth defects. The broad publishing spectrum of Molecular Genetics & Genomic Medicine includes rare and common disorders from diagnosis to treatment. Examples of appropriate articles include reports of novel disease genes, functional studies of genetic variants, in-depth genotype-phenotype studies, genomic analysis of inherited disorders, molecular diagnostic methods, medical bioinformatics, ethical, legal, and social implications (ELSI), and approaches to clinical diagnosis. Molecular Genetics & Genomic Medicine provides a scientific home for next generation sequencing studies of rare and common disorders, which will make research in this fascinating area easily and rapidly accessible to the scientific community. This will serve as the basis for translating next generation sequencing studies into individualized diagnostics and therapeutics, for day-to-day medical care. Molecular Genetics & Genomic Medicine publishes original research articles, reviews, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented.
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