S.C. Laboratorio di Genetica Umana, E.O. Ospedali Galliera, Genova, Italy.
J Appl Genet. 2013 Aug;54(3):353-9. doi: 10.1007/s13353-013-0157-x. Epub 2013 Jun 19.
It is estimated that 10-15 % of all clinically recognised pregnancies results in a miscarriage, most of which occur during the first trimester. Large-scale chromosomal abnormalities have been found in up to 50 % of first-trimester spontaneous abortions and, for several decades, standard cytogenetic analysis has been used for their identification. Recent studies have proven that array comparative genomic hybridisation (array-CGH) is a useful tool for the detection of genome imbalances in miscarriages, showing a higher resolution, a significantly higher detection rate and overcoming problems of culture failures, maternal contamination and poor chromosome morphology. In this study, we investigated the possibility that submicroscopic chromosomal changes, not detectable by conventional cytogenetic analysis, exist in euploid miscarriages and could be causative for the spontaneous abortion. We analysed with array-CGH technology 40 foetal tissue samples derived by first-trimester miscarriages with a normal karyotype. A whole-genome microarray with a 100-Kb resolution was used for the analysis. Forty-five copy number variants (CNVs), ranging in size between 120 Kb and 4.3 Mb, were identified in 31 samples (24 gains and 21 losses). Ten samples (10/31, 32 %) have more than one CNV. Thirty-one CNVs (68 %) were defined as common CNVs and 14 were classified as unique. Six genes and five microRNAs contained within these CNVs will be discussed. This study shows that array-CGH is useful for detecting submicroscopic CNVs and identifying candidate genes which could account for euploid miscarriages.
据估计,所有临床认可的妊娠中约有 10-15%以流产告终,其中大多数发生在孕早期。在多达 50%的孕早期自然流产中发现了大规模的染色体异常,几十年来,标准细胞遗传学分析一直用于识别这些异常。最近的研究证明,阵列比较基因组杂交(array-CGH)是检测流产中基因组失衡的有用工具,其分辨率更高,检测率显著提高,并克服了培养失败、母体污染和染色体形态不良等问题。在这项研究中,我们研究了亚微观染色体变化是否存在于常规细胞遗传学分析无法检测到的正常核型的流产中,并可能导致自发性流产。我们使用 array-CGH 技术分析了 40 个来自孕早期流产的胎儿组织样本,这些流产的核型正常。使用分辨率为 100-Kb 的全基因组微阵列进行分析。在 31 个样本中发现了 45 个拷贝数变异(CNVs),大小在 120 Kb 到 4.3 Mb 之间。有 10 个样本(10/31,32%)有多个 CNV。31 个 CNV(68%)被定义为常见 CNV,14 个被归类为独特 CNV。这些 CNVs 中包含的 6 个基因和 5 个 microRNA 将进行讨论。这项研究表明,array-CGH 可用于检测亚微观 CNV,并识别可能导致正常核型流产的候选基因。