Non‐invasive prenatal testing (NIPT): Combination of copy number variant and gene analyses using an “in‐house” target enrichment next generation sequencing—Solution for non‐centralized NIPT laboratory?

拷贝数变化 胎儿游离DNA 计算生物学 DNA测序 遗传学 生物 基因 基因组DNA 产前诊断 胎儿 基因组 怀孕
作者
Lucie Faldynová,Sylwia Walczysková,David Cerna,Monika Kudrejová,Šárka Hilscherová,Romana Kaniová,Simona Širůčková
出处
期刊:Prenatal Diagnosis [Wiley]
卷期号:43 (10): 1320-1332
标识
DOI:10.1002/pd.6421
摘要

Abstract Objective Recent studies have integrated copy number variant (CNV) and gene analysis using target enrichment. Here, we transferred this concept to our routine genetics laboratory, which is not linked to centralized non‐invasive prenatal testing (NIPT) facilities. Method From a cohort of 100 pregnant women, 22 were selected for the analysis of maternal genomic DNA (gDNA) along with fetal cell‐free DNA. Using targeted enrichment, 135 genes were analyzed, combined with aberrations of chromosomes 21, 18, 13, X, and Y. The data were subjected to specificity and sensitivity analyses, and correlated with the results from invasive testing methods. Results The sensitivity/specificity was determined for the CNV analysis of chromosomes: 21 (80%/75%), 18 (‐/82%), 13 (100%/67%), and Y (100%/100%). The gene detection was valid for maternal gDNA. However, for cell‐free fetal DNA, it was not possible to determine the boundary between an artifact and a real sequence variant. Conclusion The target enrichment method combining CNV and gene detection seems feasible in a regular laboratory. However, this method can only be responsibly optimized with a sufficient number of controls and further validation on a strong bioinformatic background. The present results showed that NIPT should be performed in specialized centers, and that its introduction to isolated laboratories may not provide valid data.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
liu发布了新的文献求助80
1秒前
sunrise发布了新的文献求助10
2秒前
云边有个小卖部完成签到,获得积分10
3秒前
刘金磊发布了新的文献求助10
3秒前
4秒前
4秒前
5秒前
Summer完成签到,获得积分10
5秒前
6秒前
SciGPT应助每㐬山风采纳,获得30
7秒前
7秒前
风趣的灵松完成签到,获得积分10
7秒前
大模型应助聪明安筠采纳,获得10
7秒前
7秒前
8秒前
guanze发布了新的文献求助10
8秒前
HUIMING发布了新的文献求助10
8秒前
8秒前
Echo发布了新的文献求助10
9秒前
9秒前
Pernik发布了新的文献求助10
10秒前
11秒前
阿三完成签到 ,获得积分10
11秒前
佩奇完成签到,获得积分10
12秒前
李不易发布了新的文献求助10
12秒前
12秒前
13秒前
ceeray23应助科研通管家采纳,获得10
16秒前
16秒前
我是老大应助科研通管家采纳,获得10
16秒前
汉堡包应助科研通管家采纳,获得10
16秒前
沉静大雁应助科研通管家采纳,获得10
16秒前
沉静大雁应助科研通管家采纳,获得10
16秒前
英俊的铭应助科研通管家采纳,获得10
16秒前
乐乐应助科研通管家采纳,获得10
16秒前
完美世界应助哆啦采纳,获得10
16秒前
上官若男应助科研通管家采纳,获得10
16秒前
我是老大应助科研通管家采纳,获得10
16秒前
ceeray23应助科研通管家采纳,获得10
16秒前
今后应助科研通管家采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6041675
求助须知:如何正确求助?哪些是违规求助? 7782834
关于积分的说明 16235120
捐赠科研通 5187619
什么是DOI,文献DOI怎么找? 2775833
邀请新用户注册赠送积分活动 1759028
关于科研通互助平台的介绍 1642508