Rares diseases are a heterogeneous group of conditions which need important tools for diagnosis. The use of high-throughput sequencing is able to diagnose half of the patients. For the other part it is impossible to conclude due to the presence of variants of unknown significance (VOUS). Functional analysis are needed to bring strong argument to reclassify variants as pathogenic or benign. The main objective is to evaluate the diagnosis yield of this strategy.
The main objective is the improvement of the diagnosis of rare genetic diseases. The investigator lab is expert for diagnosis of some rare diseases such as neurodevelopmental disorder, albinism, cystic fibrosis and congenital heart defect. Actually with implementation of high-throughput sequencing for diagnosis, a high number of genetic variants are found and need to be interpretated. The ACMG classification is used to classify variants with argument of variant frequency, predicted effect on protein and in-silico prediction. Functional evidence is a strong argument to help classify VOUS. The investigators propose the use of RNA-Seq, minigene and luciferase assay for study of VOUS to bring argument to classify them as benign or pathogenic.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
50
Ex-vivo approach concerning 25 patients with blood sample in PAXgene tubes or skin biopsy and RNA-Seq analysis
In-vitro approach concerning 25 patients without specific samples needed for analysis in minigene or luciferase assay
Hopital Pellegrin
Bordeaux, France
RECRUITINGProportion of VOUS reclassified as pathogenic (class 5) or benign (class 1)
It's the proportion of VOUS that could be definitively reclassified as pathogenic (class 5) or benign (class 1) according to the ACMG classification (Richards et al., 2015 and Appendix 1). Indeed currently only variants considered as pathogenic or probably pathogenic make it possible to confirm a diagnosis and to propose genetic offer genetic counseling to families and perform a prenatal diagnosis. This is an evaluation that will be carried out at the end of the analyses carried out
Time frame: Inclusion visit
Pre-analysis process : Time of sample transport to the laboratory
Time of transport to the laboratory. To calculate this time, the time of collection and the time of receipt by the and the time of reception by the molecular genetics technician will be recorded
Time frame: Inclusion visit
Pre-analysis process : Quality of RNA extraction (RNA Integrity Number, RIN)
RNA quality measurement by RIN (RNA integrity number): very good \>7, good \>/=5, poor \<5. Only RNA with RIN \>5 will be retained.
Time frame: Inclusion visit
Praticability :Characteristics and number of CPU (Central Processing Unit)
Evaluation of bioinformatic ressources by measure of number of CPU needed and turnaround time for processing data
Time frame: Inclusion visit
Praticability : Training time of Biologists for interpretation
Evaluation of training time needed to interpret the data
Time frame: Inclusion visit
Global cost
Evaluation of cost of global analyse and each test
Time frame: Inclusion visit
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