Geneton Ltd., Bratislava, Slovakia.
Comenius University Science Park, Bratislava, Slovakia.
PLoS One. 2020 Aug 26;15(8):e0238245. doi: 10.1371/journal.pone.0238245. eCollection 2020.
To study the detection limits of chromosomal microaberrations in non-invasive prenatal testing with aim for five target microdeletion syndromes, including DiGeorge, Prader-Willi/Angelman, 1p36, Cri-Du-Chat, and Wolf-Hirschhorn syndromes. We used known cases of pathogenic deletions from ISCA database to specifically define regions critical for the target syndromes. Our approach to detect microdeletions, from whole genome sequencing data, is based on sample normalization and read counting for individual bins. We performed both an in-silico study using artificially created data sets and a laboratory test on mixed DNA samples, with known microdeletions, to assess the sensitivity of prediction for varying fetal fractions, deletion lengths, and sequencing read counts. The in-silico study showed sensitivity of 79.3% for 10% fetal fraction with 20M read count, which further increased to 98.4% if we searched only for deletions longer than 3Mb. The test on laboratory-prepared mixed samples was in agreement with in-silico results, while we were able to correctly detect 24 out of 29 control samples. Our results suggest that it is possible to incorporate microaberration detection into basic NIPT as part of the offered screening/diagnostics procedure, however, accuracy and reliability depends on several specific factors.
为了研究非侵入性产前检测中染色体微缺失的检测极限,针对 5 种目标微缺失综合征,包括 DiGeorge、Prader-Willi/Angelman、1p36、 Cri-Du-Chat 和 Wolf-Hirschhorn 综合征。我们使用 ISCA 数据库中的已知致病性缺失病例来专门定义对目标综合征至关重要的区域。我们的检测微缺失的方法基于全基因组测序数据,通过对个体 bin 进行样本归一化和读取计数来实现。我们进行了一项基于人工数据集的计算机研究和一项针对混合 DNA 样本的实验室测试,这些样本具有已知的微缺失,以评估在不同胎儿比例、缺失长度和测序读取计数下预测的敏感性。计算机研究显示,在 10%的胎儿比例和 20M 的读取计数下,敏感性为 79.3%,如果只搜索大于 3Mb 的缺失,则敏感性进一步提高到 98.4%。实验室制备的混合样本测试结果与计算机研究结果一致,我们能够正确检测出 29 个对照样本中的 24 个。我们的结果表明,有可能将微缺失检测纳入基本的 NIPT 中,作为提供的筛查/诊断程序的一部分,然而,准确性和可靠性取决于几个具体因素。