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通过逆转录多重连接依赖探针扩增技术进行非侵入性产前诊断 21 三体综合征。

Non-invasive prenatal diagnosis of trisomy 21 by reverse transcriptase multiplex ligation-dependent probe amplification.

机构信息

Daan Gene Diagnostic Center, Sun Yet-Sen University, Guangzhou, Guangdong, PR China.

出版信息

Clin Chem Lab Med. 2011 Apr;49(4):641-6. doi: 10.1515/CCLM.2011.099. Epub 2011 Feb 9.

Abstract

BACKGROUND

Obtaining fetal DNA or RNA by either chorionic villus sampling (CVS) or amniocentesis is currently, the gold standard prenatal diagnosis. However, these invasive procedures carry risk of miscarriage. A reliable method for non-invasive prenatal diagnosis (NIPD) has long been sought to reduce the risk of miscarriage.

METHODS

Cell-free fetal RNA was extracted from the plasma of peripheral blood from 121 women 9-20 weeks of pregnancy. Five single nucleotide polymorphism (SNP) loci in PLAC4 gene were analyzed by reverse transcriptase multiplex ligation-dependent probe amplification (RT-MLPA), followed by capillary electrophoresis. Karyotype analysis was used for confirmation of prenatal diagnosis of trisomy 21.

RESULTS

Of 121 samples, 23 were diagnosed with trisomy 21, 87 with normal ploidy, nine had all five SNP loci homozygous and two had one heterozygous SNP locus. Comparing with karyotype analysis, the diagnostic sensitivity and specificity of RT-MLPA were 92% and 100%, respectively.

CONCLUSIONS

RT-MLPA is a convenient and reliable method for the diagnosis of trisomy 21. We have shown that this method has good specificity, high sensitivity, and high throughput, making this technique applicable for NIPD in clinical practice.

摘要

背景

通过绒毛膜绒毛取样(CVS)或羊膜穿刺术获取胎儿 DNA 或 RNA 目前是产前诊断的金标准。然而,这些有创性的操作有流产的风险。人们一直寻求一种可靠的非侵入性产前诊断(NIPD)方法,以降低流产的风险。

方法

从 121 名妊娠 9-20 周的孕妇外周血血浆中提取游离胎儿 RNA。通过逆转录多重连接依赖性探针扩增(RT-MLPA)分析 PLAC4 基因中的 5 个单核苷酸多态性(SNP)位点,然后进行毛细管电泳。核型分析用于确认 21 三体的产前诊断。

结果

在 121 个样本中,23 个被诊断为 21 三体,87 个为正常倍性,9 个有 5 个 SNP 位点均为纯合子,2 个有 1 个 SNP 位点杂合子。与核型分析相比,RT-MLPA 的诊断灵敏度和特异性分别为 92%和 100%。

结论

RT-MLPA 是一种方便、可靠的 21 三体诊断方法。我们已经证明,该方法具有良好的特异性、高灵敏度和高通量,使其适用于临床实践中的 NIPD。

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