Chorion biopsy in early pregnancy: A method of early prenatal diagnosis for inherited disorders

1982 ◽  
Vol 2 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Z. Kazy ◽  
I. S. Rozovsky ◽  
V. A. Bakharev
1995 ◽  
Vol 1 (3) ◽  
pp. 123-125 ◽  
Author(s):  
D. Jurkovic ◽  
E. Jauniaux ◽  
S. Campbell ◽  
M. Mitchell ◽  
C. Lees ◽  
...  

2003 ◽  
Vol 23 (6) ◽  
pp. 513-514 ◽  
Author(s):  
I-Feng Liu ◽  
Chen-Hsiang Yu ◽  
Chiung-Hsing Chang ◽  
Fong-Ming Chang

2018 ◽  
Vol 56 (5) ◽  
pp. 728-738 ◽  
Author(s):  
Aurélia Gruber ◽  
Mathilde Pacault ◽  
Laila Allach El Khattabi ◽  
Nicolas Vaucouleur ◽  
Lucie Orhant ◽  
...  

Abstract Background: To limit risks of miscarriages associated with invasive procedures of current prenatal diagnosis practice, we aim to develop a personalized medicine-based protocol for non-invasive prenatal diagnosis (NIPD) of monogenic disorders relying on the detection of paternally inherited mutations in maternal blood using droplet digital PCR (ddPCR). Methods: This study included four couples at risk of transmitting paternal neurofibromatosis type 1 (NF1) mutations and four couples at risk of transmitting compound heterozygous CFTR mutations. NIPD was performed between 8 and 15 weeks of gestation, in parallel to conventional invasive diagnosis. We designed specific hydrolysis probes to detect the paternal mutation and to assess the presence of cell-free fetal DNA by ddPCR. Analytical performances of each assay were determined from paternal sample, an then fetal genotype was inferred from maternal plasma sample. Results: Presence or absence of the paternal mutant allele was correctly determined in all the studied plasma DNA samples. Conclusions: We report an NIPD protocol suitable for implementation in an experienced laboratory of molecular genetics. Our proof-of-principle results point out a high accuracy for early detection of paternal NF1 and CFTR mutations in cell-free DNA, and open new perspectives for extending the technology to NIPD of many other monogenic diseases.


2021 ◽  
Vol 14 (S3) ◽  
Author(s):  
Ching-Yuan Wang ◽  
Yen-An Tang ◽  
I-Wen Lee ◽  
Fong-Ming Chang ◽  
Chun-Wei Chien ◽  
...  

Abstract Background Skeletal dysplasia (SD) is one of the most common inherited neonatal disorders worldwide, where the recurrent pathogenic mutations in the FGFR2, FGFR3, COL1A1, COL1A2 and COL2A1 genes are frequently reported in both non-lethal and lethal SD. The traditional prenatal diagnosis of SD using ultrasonography suffers from lower accuracy and performed at latter gestational stage. Therefore, it remains in desperate need of precise and accurate prenatal diagnosis of SD in early pregnancy. With the advancements of next-generation sequencing (NGS) technology and bioinformatics analysis, it is feasible to develop a NGS-based assay to detect genetic defects in association with SD in the early pregnancy. Methods An ampliseq-based targeted sequencing panel was designed to cover 87 recurrent hotspots reported in 11 common dominant SD and run on both Ion Proton and NextSeq550 instruments. Thirty-six cell-free and 23 genomic DNAs were used for assay developed. Spike-in DNA prepared from standard sample harboring known mutation and normal sample were also employed to validate the established SD workflow. Overall performances of coverage, uniformity, and on-target rate, and the detecting limitations on percentage of fetal fraction and read depth were evaluated. Results The established targeted-seq workflow enables a single-tube multiplex PCR for library construction and shows high amplification efficiency and robust reproducibility on both Ion Proton and NextSeq550 platforms. The workflow reaches 100% coverage and both uniformity and on-target rate are > 96%, indicating a high quality assay. Using spike-in DNA with different percentage of known FGFR3 mutation (c.1138 G > A), the targeted-seq workflow demonstrated the ability to detect low-frequency variant of 2.5% accurately. Finally, we obtained 100% sensitivity and 100% specificity in detecting target mutations using established SD panel. Conclusions An expanded panel for rapid and cost-effective genetic detection of SD has been developed. The established targeted-seq workflow shows high accuracy to detect both germline and low-frequency variants. In addition, the workflow is flexible to be conducted in the majority of the NGS instruments and ready for routine clinical application. Taken together, we believe the established panel provides a promising diagnostic or therapeutic strategy for prenatal genetic testing of SD in routine clinical practice.


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