Non-invasive prenatal diagnosis of a paternally inherited MEN1 pathogenic splicing variant

Author(s):  
Thomas Huby ◽  
Edouard Le Guillou ◽  
Cyril Burin des Roziers ◽  
Laurence Pacot ◽  
Audrey Briand-Suleau ◽  
...  

Abstract Context Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominant disease caused by mutations in the tumor suppressor gene MEN1. The uncertainty of pathogenicity of MEN1 variants complexifies the selection of the patients likely to benefit from specific care. Objective MEN1-mutated patients should be offered tailored tumor screening and genetic counselling. We present a patient with hyperparathyroidism for whom genetic analysis identified a variant of uncertain significance in the MEN1 gene (NM_130799.2): c.654G>T p.(Arg218=). Additional functional genetic tests were performed to classify the variant as pathogenic and allowed prenatal testing. Design Targeted next generation sequencing identified a synonymous variant in the MEN1 gene in a 26-year-old male with symptomatic primary hyperparathyroidism. In silico and in vitro genetic tests were performed to assess variant pathogenicity. Results Genetic testing of the proband’s unaffected parents showed the variant occurred de novo. Transcript study showed a splicing defect leading to an in-frame deletion. The classification of the MEN1 variant as pathogenic confirmed the diagnosis of MEN1 and recommended an adapted medical care and follow-up. Pathogenic classification also allowed to propose a genetic counselling to the proband and his wife. Non-invasive prenatal diagnosis was performed with a personalized medicine-based protocol by detection of the paternally inherited variant in maternal plasmatic cell free DNA, using digital PCR. Conclusion We showed that functional genetic analysis can help to assess the pathogenicity of a MEN1 variant with crucial consequences for medical care and genetic counselling decisions.

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.


2005 ◽  
Vol 53 (3) ◽  
pp. 337-339 ◽  
Author(s):  
Esther Guetta ◽  
Liat Gutstein-Abo ◽  
Gad Barkai

Prenatal diagnosis based on rare fetal cells in maternal blood is currently not a feasible option. An effort was made to improve cell yields by targeting trophoblast cells. After sorting, the HLA-G-positive cell fraction was analyzed directly or after culture. In situ hybridization technology was applied to prove fetal cell source in samples from women carrying a male fetus and to predict gender in samples without previous knowledge of fetal sex. In vitro culture led to a significant increase in fetal cells and accurate gender prediction in 93% of these samples. This approach might be useful for non-invasive prenatal diagnosis.


2016 ◽  
Vol 36 (5) ◽  
pp. 397-406 ◽  
Author(s):  
Lucie Orhant ◽  
Olivia Anselem ◽  
Mélanie Fradin ◽  
Pierre Hadrien Becker ◽  
Caroline Beugnet ◽  
...  

2008 ◽  
Vol 199 (6) ◽  
pp. S164
Author(s):  
Isabelle Desitter ◽  
Patrick Rozenberg ◽  
Naoual Benali-Furet ◽  
Yvon Cayre ◽  
Bussieres Laurence

2019 ◽  
Vol 411 (27) ◽  
pp. 7115-7126 ◽  
Author(s):  
Yousheng Yan ◽  
Fang Wang ◽  
Chuan Zhang ◽  
Xiaohua Jin ◽  
Qinhua Zhang ◽  
...  

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