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| Name | Class |
|---|---|
| IGBMC | UNKNOWN |
| Laboratoire de diagnostic génétique - NHC | UNKNOWN |
| Groupe Méthode en Recherche Clinique (GMRC) | UNKNOWN |
| Bio-informatique médicale appliquée au diagnostic (UF7363) - NHC |
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This study focuses on children with Developmental and Epileptic Encephalopathy (DEE), a severe form of epilepsy that often has a genetic origin. Currently, standard diagnostic tools-known as short-read genome sequencing-fail to provide a diagnosis for over 50% of affected patients because they cannot detect certain complex DNA abnormalities.
The purpose of this study is to evaluate the effectiveness of a newer, more advanced technology called Long-read Genome Sequencing (lrWGS). Unlike traditional methods, this technology analyzes very long fragments of DNA, allowing researchers to identify genetic errors that were previously "invisible."
The study aims to answer whether Long-read Sequencing can successfully identify the genetic cause of epilepsy in patients who have already received a negative result from standard testing. By finding these missing answers, the research seeks to enable personalized medical treatments, improve genetic counseling for families, and advance our understanding of how these complex neurological conditions develop.
This study evaluates the clinical utility of Long-read Whole Genome Sequencing (lrWGS) as a secondary diagnostic tool for Developmental and Epileptic Encephalopathies (DEEs). While current standard-of-care "short-read" sequencing (srWGS) is effective at identifying small genetic mutations, it often fails to detect complex structural changes, leaving over 50% of patients without a diagnosis.
Technically, lrWGS overcomes these limitations by analyzing DNA fragments that are thousands of bases long. This allows researchers to map "dark regions" of the genome and identify Structural Variants (SVs), such as large insertions, deletions, or repeat expansions, which are often the hidden causes of severe epilepsy.
By identifying these elusive genetic drivers, the study aims to move beyond a simple diagnosis toward precision medicine. A clear molecular result can directly influence clinical decisions, such as selecting targeted medications, avoiding contraindicated drugs, or determining eligibility for emerging gene therapies. Additionally, the project assesses the feasibility of integrating this technology into routine clinical practice by evaluating bioinformatic complexity and diagnostic turnaround times.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| DEE Long-read | his cohort is composed of pediatric patients (under 18 years old) with Developmental and Epileptic Encephalopathy (DEE) as defined by the 2022 ILAE criteria. The group is specifically characterized by a prior negative molecular diagnosis despite analysis via short-read Whole Genome Sequencing (srWGS) through the French Genomic Medicine Plan 2025 (AURAGEN platform). Selection follows a clinical prioritization strategy: while the study includes all eligible DEE patients without a genetic answer, priority is given to those with early-onset forms, familial cases, or current therapeutic impasse (patients for whom standard treatments have failed). The study excludes cases where a clear non-genetic cause is identified, such as perinatal brain injury, focusing the cohort on high-probability "hidden" genetic etiologies. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Long-read Whole Genome Sequencing (lrWGS) | Diagnostic Test | Long-read Whole Genome Sequencing (lrWGS) using high-molecular-weight DNA previously extracted and banked during the patient's initial clinical workup. |
| Measure | Description | Time Frame |
|---|---|---|
| Number of pathogenic and likely pathogenic genetic variants identified by long-read whole genome sequencing (lrWGS) | Evaluate the efficacy of long-read whole genome sequencing (lrWGS) in identifying genetic causes in patients with developmental and epileptic encephalopathy who did not obtain a molecular diagnosis despite previous short-read whole genome sequencing (srWGS) analysis within the framework of the French Genomic Medicine Plan 2025 (PFMG 2025). | At the results delivery visit (Visit 1), up to 15 months after enrollment. |
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Inclusion Criteria:
Pediatric Participants:
Parents/Legal Guardians:
Exclusion Criteria:
Pediatric Participants:
Parents/Legal Guardians:
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The study population is drawn from specialized pediatric neurology and genetics departments within the French university hospital network (CHU).
Participants are specifically sourced from the existing patient base of the AURAGEN platform, one of the two national sequencing hubs established under the French Genomic Medicine Plan 2025 (PFMG 2025). These individuals represent a highly selected sub-population of children across France who have already undergone extensive clinical phenotyping and "first-line" genomic screening but remain without a molecular diagnosis.
The recruitment occurs primarily at the Strasbourg University Hospital (Hôpitaux Universitaires de Strasbourg) and collaborating clinical sites. These centers serve as regional and national referral points for rare and refractory childhood epilepsies, ensuring that the study population includes the most complex and diagnostically challenging cases of Developmental and Epileptic Encephalopathy (DEE) in the country.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sarah BAER | Contact | +333.88.12.84.98 | +33 | sarah.baer@chru-strasbourg.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU Jean Minjoz | Besançon | 25000 | France |
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| ID | Term |
|---|---|
| D000069279 | Drug Resistant Epilepsy |
| ID | Term |
|---|---|
| D004827 | Epilepsy |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| UNKNOWN |
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| American Memorial Hospital | Reims | 51092 | France |
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| Hôpitaux Universitaires de Strasbourg | Strasbourg | 67098 | France |
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| CHU de Nancy - hôpital d'enfant | Vandœuvre-lès-Nancy | 54511 | France |
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