桑格测序
基因检测
DNA测序
遗传学
计算生物学
前瞻性队列研究
生物
产前诊断
基因
遗传咨询
队列
染色体
基因分型
临床意义
医学
诊断试验
生物信息学
怀孕
人类遗传学
遗传变异
医学遗传学
产科
基因型
外显子组测序
基因组学
非整倍体
产前筛查
回顾性队列研究
病因学
遗传诊断
队列研究
胎儿游离DNA
作者
Hongyun Zhang,Jun He,Yanling Teng,Qingxin Shi,Fang Liu,Can Peng,Siyuan Linpeng,Yingdi Liu,Huimin Zhu,Juan Wen,Desheng Liang,Zhuo Li,Lingqian Wu
标识
DOI:10.1093/qjmed/hcaf017
摘要
Abstract Background Current non-invasive prenatal testing (NIPT) based on cell-free DNA (cfDNA) mainly targets the detection of chromosome aberrations but not dominant single-gene disorders (dSGDs). Aim This prospective pilot study aims to evaluate the clinical utility of a plasma cfDNA and targeted next-generation sequencing-based NIPT approach for dSGDs (NIPT-dSGD), with a particular focus on neurodevelopmental disorders (NDDs). Design Prospective pilot study. Methods The NIPT-dSGD method targeted 34 genes, including 25 correlated to NDDs and nine correlated to Noonan spectrum, skeletal, craniosynostosis and other syndromic disorders. Retrospective samples first validated NIPT-dSGD and then performed for a prospective cohort of 567 pregnant women seeking NIPT-dSGD. The testing results were compared to invasive prenatal or postnatal genetic diagnosis by whole-exome sequencing and Sanger sequencing. Results Of the 535 samples with qualified NIPT-dSGD analysis, 11 (2.1%) had one pathogenic or likely pathogenic variant in one of the 34 genes. Three of the 11 variants were paternally inherited, and eight were de novo. Five positive cases had normal ultrasound parameters and three of them had disease-causing variants in NDD genes. Particularly, one family had two pregnancies with de novo variants of two different genes (GRIN2B: c.1606G>A and ARID1B: c.6100A>G). NIPT-dSGD did not generate any false-positive or negative results, achieving 100% of sensitivity (95% CI, 71.7–100%) and 100% of specificity (95% CI, 99.0–100%). Conclusion NIPT-dSGD provides accurate genetic testing for de novo and paternally inherited variants of dominant genes, including those that do not cause any ultrasound abnormalities, which could assist clinicians and families in better pregnancy management.
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