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http://dx.doi.org/10.5734/JGM.2021.18.1.31

Clinical utility of chromosomal microarray analysis to detect copy number variants: Experience in a single tertiary hospital  

Park, Hee Sue (Department of Laboratory Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine)
Kim, Aryun (Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine)
Shin, Kyeong Seob (Department of Laboratory Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine)
Son, Bo Ra (Department of Laboratory Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine)
Publication Information
Journal of Genetic Medicine / v.18, no.1, 2021 , pp. 31-37 More about this Journal
Abstract
Purpose: To summarize the results of chromosomal microarray analysis (CMA) for copy number variants (CNVs) detection and clinical utility in a single tertiary hospital. Materials and Methods: We performed CMA in 46 patients over the course of two years. Detected CNVs were classified into five categories according to the American College of Medical Genetics and Genomics guidelines and correlated with clinical manifestations. Results: A total of 31 CNVs were detected in 19 patients, with a median CNV number per patient of two CNVs. Among these, 16 CNVs were classified as pathogenic (n=3) or likely pathogenic (LP) (n=11) or variant of uncertain significance (n=4). The 16p11.2 deletion and 16p13.11 deletion classified as LP were most often detected in 6.5% (3/46), retrospectively. CMA diagnostic yield was 24.3% (9/37 patients) for symptomatic patients. The CNVs results of the commercial newborn screening test using next generation sequencing platforms showed high concordance with CMA results. Conclusion: CMA seems useful as a first-tier test for developmental delay with or without congenital anomalies. However, the classification and interpretation of CMA still remained a challenge. Further research is needed for evidence-based interpretation.
Keywords
Chromosome microarray analysis; Copy number variations; Developmental disability; Genetic testing; High-throughput nucleotide sequencing;
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