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Since 2012, NGS sequencing of long fragments or long reads has developed in various fields of research and today presents itself as a very promising alternative solution in the analysis of repeat amplifications. The Oxford Nanopore NGS automaton offers the prospect of bringing together 1st and 2nd line analyzes of all loci potentially indicated in neurogenetics at the same time. The project aims to compare the use of this new technology with methods currently used in reference laboratories.
The main objective is to evaluate the ability of next-generation high-throughput Oxford Nanopore-type sequencing (NEURONGS3) to diagnose 9 neurogenetic diseases compared to reference protocols via PCR (+/- Southern blot).
The secondary objective is to evaluate the repeatability of the NGS (intra-sample reproducibility) analysis in the diagnosis of 8 neurogenetic diseases.
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Since 2012, NGS sequencing of long fragments or long reads has developed in various fields of research and today presents itself as a very promising alternative solution in the analysis of repeat amplifications. The Oxford Nanopore NGS automaton offers the prospect of bringing together 1st and 2nd line analyzes of all loci potentially indicated in neurogenetics at the same time. The project aims to compare the use of this new technology with methods currently used in reference laboratories.
Multicenter cross-sectional early phase diagnostic study on already existing biological collections. Analyzes with the new technique (NGS) will be carried out blinded to the results obtained with the current reference algorithm based on the sequential performance of PCRs The main objective is to evaluate the ability of next-generation high-throughput Oxford Nanopore-type sequencing (NEURONGS3) to diagnose 9 neurogenetic diseases compared to reference protocols via PCR (+/- Southern blot).
The secondary objective is to evaluate the repeatability of the NGS (intra-sample reproducibility) analysis in the diagnosis of 8 neurogenetic diseases.
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Cyril Goizet; Marie-Pierre Baudier
Data sourced from clinicaltrials.gov
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