Bakır Abdullatif, Alay Mustafa Tarık, Tekbaş Umut Can, Sucu Sadun, Kalay İrem, Saat Hanife
Department of Medical Genetics, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Department of Obstetrics and Gynecology, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Diagnostics (Basel). 2025 Aug 23;15(17):2129. doi: 10.3390/diagnostics15172129.
Prenatal cytogenetic testing is essential for pregnant women who are at high risk of having a child with a chromosomal abnormality. While conventional karyotyping detects large aneuploidies and structural rearrangements (>5-10 Mb), chromosomal microarray analysis (CMA) identifies smaller copy number variants (CNVs), increasing the diagnostic yield by approximately 5%. CMA is now recommended as the first-line test for evaluating fetal structural anomalies that are detected by ultrasound. From March 2023 to September 2024, we analyzed 344 prenatal samples using conventional karyotyping and SNP-based CMA. Karyotyping was performed via flask culture, and CMA was conducted using the Infinium Global Screening Array Cyto (GSA-Cyto) on the Illumina iScan platform. We interpreted the CNVs using NxClinical v6.0 and curated databases including ClinVar, DECIPHER, OMIM, and ClinGen, among others. Our results aligned with the GRCh37/hg19 reference genome. Chromosomal abnormalities were identified in 57/344 cases (16.5%). Of these, 39 cases were numerical chromosomal anomalies, and 18 cases were pathogenic or likely pathogenic CNVs. Notably, 11 CNVs (3.2%) were undetectable by conventional karyotyping, emphasizing the added value of CMA. CMA enhances the prenatal diagnostic accuracy by detecting submicroscopic CNVs that are not visible with conventional methods, supporting the routine use of this analysis in prenatal genetic evaluation.
产前细胞遗传学检测对于生育染色体异常患儿风险较高的孕妇至关重要。传统核型分析可检测出大片段非整倍体和结构重排(>5-10 Mb),而染色体微阵列分析(CMA)可识别较小的拷贝数变异(CNV),使诊断率提高约5%。目前,CMA被推荐作为评估超声检测到的胎儿结构异常的一线检测方法。2023年3月至2024年9月,我们使用传统核型分析和基于单核苷酸多态性的CMA对344份产前样本进行了分析。核型分析通过瓶培养进行,CMA则在Illumina iScan平台上使用Infinium全球筛查阵列细胞(GSA-Cyto)进行。我们使用NxClinical v6.0以及包括ClinVar、DECIPHER、OMIM和ClinGen等在内的 curated 数据库对CNV进行了解释。我们的结果与GRCh37/hg19参考基因组一致。在344例病例中,有57例(16.5%)被鉴定出染色体异常。其中,39例为染色体数目异常,18例为致病性或可能致病性CNV。值得注意的是,11例CNV(3.2%)用传统核型分析无法检测到,这凸显了CMA的附加价值。CMA通过检测传统方法不可见的亚微观CNV提高了产前诊断准确性,支持在产前基因评估中常规使用该分析方法。