半面阳光 (2024-09-25 15:13):
#paper DOI: https://doi.org/10.1038/s41436-019-0634-7, Genetics in Medicine, 2020, Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis. 这篇文章比较了 low-pass genome sequencing (GS)与chromosomal microarray analysis (CMA)两种方法在染色体异常的产前检测中的表现。征集了1023个产前诊断的样本,同时进行了低深度WGS和CMA来检测CNVs. 分析结果显示,低深度的WGS检测出124例的染色体数目异常和致病(p)或可能致病(lp)CNVs121例,同时还检测出17例其他临床相关的p/lpCNVs. 低深度WGS检测显著降低了需要进一步进行CMA检测的重复检测率(4.6%,47/1023),并且其所需DNA样本量更低(50ng)。文章认为,与CMA相比而言,低深度的WGS能够提供共临床有效信息,并且提升了检测的分辨率,增强了检测出嵌合性(mosaicism)异常的敏感性。这篇文献为低深度的WGS用于产前检测CNVs提供了证据支持。
Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis
Huilin Wang, Zirui Dong, Rui Zhang, Matthew Hoi Kin Chau, Zhenjun Yang, Kathy Yin Ching Tsang, Hoi Kin Wong, Baoheng Gui, Zhuo Meng, Kelin Xiao, ... >>>
Huilin Wang, Zirui Dong, Rui Zhang, Matthew Hoi Kin Chau, Zhenjun Yang, Kathy Yin Ching Tsang, Hoi Kin Wong, Baoheng Gui, Zhuo Meng, Kelin Xiao, Xiaofan Zhu, Yanfang Wang, Shaoyun Chen, Tak Yeung Leung, Sau Wai Cheung, Yvonne K. Kwok, Cynthia C. Morton, Yuanfang Zhu, Kwong Wai Choy <<<
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