产前诊断
基因组
计算生物学
微阵列
生物
遗传学
全基因组测序
医学
基因
怀孕
胎儿
基因表达
作者
Huilin Wang,Huilin Wang,Rui Zhang,Matthew Hoi Kin Chau,Zhenjun Yang,Kathy Yin Ching Tsang,Heung‐wah Wong,Baoheng Gui,Zhuo-Xian Meng,Kelin Xiao,Xiaofan Zhu,Yanfang Wang,Shaoyun Chen,Sau Wai Cheung,Sau Wai Cheung,Yvonne K. Kwok,Cynthia C. Morton,Kwong Wai Choy,Kwong Wai Choy
标识
DOI:10.1038/s41436-019-0634-7
摘要
PurposeEmerging studies suggest that low-pass genome sequencing (GS) provides additional diagnostic yield of clinically significant copy-number variants (CNVs) compared with chromosomal microarray analysis (CMA). However, a prospective back-to-back comparison evaluating accuracy, efficacy, and incremental yield of low-pass GS compared with CMA is warranted.MethodsA total of 1023 women undergoing prenatal diagnosis were enrolled. Each sample was subjected to low-pass GS and CMA for CNV analysis in parallel. CNVs were classified according to guidelines of the American College of Medical Genetics and Genomics.ResultsLow-pass GS not only identified all 124 numerical disorders or pathogenic or likely pathogenic (P/LP) CNVs detected by CMA in 121 cases (11.8%, 121/1023), but also defined 17 additional and clinically relevant P/LP CNVs in 17 cases (1.7%, 17/1023). In addition, low-pass GS significantly reduced the technical repeat rate from 4.6% (47/1023) for CMA to 0.5% (5/1023) and required less DNA (50 ng) as input.ConclusionIn the context of prenatal diagnosis, low-pass GS identified additional and clinically significant information with enhanced resolution and increased sensitivity of detecting mosaicism as compared with the CMA platform used. This study provides strong evidence for applying low-pass GS as an alternative prenatal diagnostic test.
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