Xu Zhen, Liu Na, Gao Lu, Yu Dongyi
Center for Medical Genetics and Prenatal Diagnosis, Shandong Provincial Maternal and Child Health Care Hospital, Affiliated to Qingdao University, Jinan, Shandong, 250000, People's Republic of China.
Shandong Medicine and Health Key Laboratory of Birth Defect Prevention and Genetic Medicine, Jinan, Shandong, People's Republic of China.
Appl Clin Genet. 2024 May 31;17:85-93. doi: 10.2147/TACG.S461674. eCollection 2024.
The potential causes of miscarriage are very complex, including genetic, immune, infectious, and endocrine factors. 50%-60% of miscarriages are caused by chromosomal abnormalities. Chromosomal microarray analysis (CMA) is a key tool in this context, capable of detecting not only copy number variations (CNV) but also loss of heterozygosity (LOH). CMA has been used as a tool to investigate the genetic reasons for miscarriage.
In our study, chromosomal microarray analysis (CMA) conducted 1220 miscarriage villous tissues. The results from this technology were used to identify the genetic reasons for miscarriage and evaluated strategies for subsequent pre-pregnancy planning.
Here, the abnormality rate of miscarriage was 56.07%(684/1220). The aneuploidy rate accounted for 81.14%(555/684), and was significantly higher in group >35-year-old age. The second most common genetic reason for miscarriage was polyploidy, accounting for 10.09%(69/684). Additionally, we discovered loss of heterozygosity (LOH) in a small percentage of cases, accounting for 2.20%(15/684) reason for miscarriage genetic reasons, due to the advantage of CMA can detect isodisomy (a kind of uniparental disomy). 45 cases (6.58%) with copy number variants, which due to the CMA can detect copy number variations.
Our study indicated that miscarriage villous tissues should be performed genetic analysis, seek help from professional genetic counseling.
流产的潜在原因非常复杂,包括遗传、免疫、感染和内分泌因素。50%-60%的流产是由染色体异常引起的。染色体微阵列分析(CMA)是这方面的关键工具,不仅能够检测拷贝数变异(CNV),还能检测杂合性缺失(LOH)。CMA已被用作研究流产遗传原因的工具。
在我们的研究中,对1220例流产绒毛组织进行了染色体微阵列分析(CMA)。利用该技术的结果来确定流产的遗传原因,并评估后续孕前规划的策略。
在此,流产的异常率为56.07%(684/1220)。非整倍体率占81.14%(555/684),在35岁以上年龄组中显著更高。流产的第二大常见遗传原因是多倍体,占10.09%(69/684)。此外,我们在一小部分病例中发现了杂合性缺失(LOH),占流产遗传原因的2.20%(15/684),这是由于CMA能够检测等二体(一种单亲二体)的优势。45例(6.58%)存在拷贝数变异,这是由于CMA能够检测拷贝数变异。
我们的研究表明,应对流产绒毛组织进行遗传分析,并寻求专业遗传咨询的帮助。