- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06083584
Development of Targeted RNA-Seq for Amyotrophic Lateral Sclerosis Diagnosis (ROSA)
Genetic diagnosis of Amyotrophic Lateral Sclerosis (ALS) could identify the origin of the disease, potentially allowing the patient to pursue targeted/gene therapy. However, many familial forms of ALS are genetically undiagnosed, either because no variant has been detected in the genes of interest, or because the detected variant(s) have uncertain significance. Currently, molecular diagnosis takes place in two stages: 1) Search for the GGGGCC expansion in the C9ORF72 gene by RP-PCR; 2) Analysis of the coding regions by high-throughput sequencing of a panel of 30 genes involved in ALS.
Many of these variants of uncertain significance affect splicing. Their impact can be predicted using in silico tools, but only an analysis of the patient's RNA can confirm their pathogenic nature. Currently, the analysis of transcripts is only done a posteriori, when a variant predicted to impact splicing is detected on the patient's DNA. RT-PCR followed by Sanger sequencing then verifies the impact of the splice variants. This method confirmed the impact of certain splice variants in patients. However, this method is time-consuming and requires custom development, and is mutation/gene/patient-dependent. In contrast, high-throughput RNA sequencing (RNA-Seq) simultaneously analyzes the splicing of numerous genes, with a global approach, applicable to all patients. This approach avoids the custom design of primers, which can be biased by the interpretation of splicing predictions, while RNA-Seq systematically captures and sequences all the transcripts. Finally, RNA-Seq provides additional information compared to DNA sequencing such as the detection of exon skipping, intron inclusion, and the creation of fusion transcripts.
In the GTEx project (GTEx Consortium, 2013), expression levels of human genome transcripts were quantified by RNA-Seq. Using these results, the study investigators measured expression of transcripts of known ALS genes in whole blood. Applying a threshold value of 0.5 transcripts per million reads (TPM), 25 of the 30 ALS genes currently analyzed by NGS in routine diagnostics at Nîmes University Hospital could be eligible for a complete analysis by RNA-Seq. None of the French laboratories carrying out genetic analyzes of ALS has yet developed RNA-Seq as a routine diagnostic tool. The study laboratory receives more than 600 requests for genetic diagnosis of ALS patients per year. The aim of this study is therefore to develop a global method for analyzing RNA transcripts of ALS genes to categorize the mutations to improve the diagnostic management of patients.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Claire Guissart
- Phone Number: 04 66 68 32 07
- Email: claire.guissart@chu-nimes.fr
Study Locations
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-
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Bordeaux, France
- Recruiting
- CHU de Bordeaux
-
Contact:
- Gwendal Le Masson
- Email: gwendal.le-masson@chu-bordeaux.fr
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Principal Investigator:
- Gwendal Le Masson
-
Sub-Investigator:
- Stephane Mathis
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Clermont-Ferrand, France
- Recruiting
- CHU de Clermont-Ferrand
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Contact:
- Nathalie Guy
- Email: nguy@chu-clermontferrand.fr
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Principal Investigator:
- Nathalie Guy
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Sub-Investigator:
- Annaick Desmaison
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Lyon, France
- Recruiting
- CHU de Lyon
-
Principal Investigator:
- Emilien Bernard
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Contact:
- Emilien Bernard
- Email: emilien.bernard@chu-lyon.fr
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Marseille, France
- Recruiting
- La Timone
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Contact:
- Annie Verschueren
- Email: annie.verschueren@ap-hm.fr
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Principal Investigator:
- Annie Verschueren
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Sub-Investigator:
- Aude-Marie Grapperon
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Montpellier, France
- Recruiting
- CHU de Montpellier
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Contact:
- Elisa De la Cruz
- Email: e-delacruz@chu-montpellier.fr
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Principal Investigator:
- Elisa De la Cruz
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Sub-Investigator:
- Florence Esselin
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Sub-Investigator:
- Alix Durand
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Nîmes, France
- Recruiting
- CHU de Nîmes
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Contact:
- Anissa Megzari
- Phone Number: 04.66.68.42.36
- Email: drc@chu-nimes.fr
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Principal Investigator:
- Claire Guissart
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Toulouse, France
- Recruiting
- CHU de Toulouse
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Contact:
- Blandine Acket
- Email: acket.b@chu-toulouse.fr
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Principal Investigator:
- Blandine Acket
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Have a prescription for a genetic diagnosis of ALS (or familial hypercholesterolemia for the control cohort)
- Have given their informed consent for the genetic study and the biobank
- The patient must be a member or beneficiary of a health insurance plan
Exclusion Criteria:
- The patient is under safeguard of justice or state guardianship
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Positive controls
6 patients already in database.
The 6 confirmed splicing mutations are: DCTN1 (NM_004082.5):
c.3209G>T, OPTN (NM_001008211.1)
: c.1613-7T>G, FUS (NM_004960.4)
: c.764+8T>A, GRN (NM_002087.4):
c.835+1G>A, GRN (NM_002087.4):
c.709-3C>G, SPG11 (NM_025137.4):
c.3039-5T>G
|
RNA-Seq (Sureselect XT HS2 RNA) from patient blood sample
|
|
Negative controls
30 patients with familial hypercholesterolemia.
The absence of splicing anomalies in the SLA genes after confirmation by RT-PCR followed by Sanger sequencing of the absence of anomalies for the 6 variants listed above for each of the 30 individuals.
|
RNA-Seq (Sureselect XT HS2 RNA) from patient blood sample
|
|
Exploratory cohort
156 ALS: 20 ALS patients with splice variants predicted to be deleterious by in silico prediction software; 136 panel-analysis-negative ALS patients (priority will be given to familial ALS)
|
RNA-Seq (Sureselect XT HS2 RNA) from patient blood sample
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Concordance between the RNA-Seq results (index text) versus RT-PCR followed by Sanger sequencing (reference technique) on positive plus negative controls
Time Frame: Day 0
|
Sashimi Plot visualized in Integrative Genomics Viewer
|
Day 0
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Frequency of splicing anomalies detected in ALS patients in the "exploratory cohort" versus negative controls.
Time Frame: Day 0
|
Frequency
|
Day 0
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Claire Guissart, CHU de Nîmes
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- NIMAO/LOCAL/2023/CG-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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