학술논문
Droplet Digital PCR for Fast and Accurate Characterization of NF1Locus Deletions
Document Type
Article
Author
Pacot, Laurence; Ye, Manuela; Nectoux, Juliette; Laurendeau, Ingrid; Briand-Suleau, Audrey; Coustier, Audrey; Maillard, Théodora; Barbance, Cécile; Orhant, Lucie; Vaucouleur, Nicolas; Blanché, Hélène; Parfait, Béatrice; Wolkenstein, Pierre; Vidaud, Michel; Castellanos, Elisabeth; Blok, Marinus J.; Brems, Hilde; Koczkowska, Magdalena; Pasmant, Eric; Wimmer, Katharina; Vidaud, Dominique; Pasmant, Eric
Source
The Journal of Molecular Diagnostics; 20230101, Issue: Preprints
Subject
Language
ISSN
15251578
Abstract
Neurofibromatosis type-1 is a genetic disorder caused by loss-of-function variants in the tumor-suppressor NF1. Approximately 4% to 11% of neurofibromatosis type-1 patients have a NF1locus complete deletion resulting from nonallelic homologous recombination between low copy repeats. Codeleted genes probably account for the more severe phenotype observed in NF1-deleted patients. This genotype–phenotype correlation highlights the need for a detailed molecular description. A droplet digital PCR (ddPCR) set along the NF1locus was designed to delimitate the three recurrent NF1deletion breakpoints. The ddPCR two mixes-set in 121 samples from nonrelated NF1-deleted patients was tested. Classification based on ddPCR versus multiplex ligation-dependent probe amplification (MLPA) was compared. In addition, microsatellites were analyzed to identify parental origin of deletions. ddPCR identified 77 type-1 (64%), 20 type-2 (16%), 7 type-3 (6%), and 17 atypical deletions (14%). The results were comparable with MLPA, except for three atypical deletions misclassified as type-2 using MLPA, for which the SUZ12gene was not deleted. A significant maternal bias (25 of 30) in the origin of deletions was identified. A fast and efficient ddPCR quantification to allow fine NF1deletion classification is proposed; ddPCR can be implemented easily into routine diagnosis to complement the techniques dedicated to NF1point variant identification. This new tool may help unravel the genetic basis conditioning phenotypic variability in NF1-deleted patients and offer tailored genetic counseling.