Actively Recruiting
Creating a National Database to Understand KCNH2 Gene Variants and Their Effects on Long QT Syndrome
Led by Nantes University Hospital · Updated on 2025-05-23
600
Participants Needed
2
Research Sites
116 weeks
Total Duration
AI-Summary
What this Trial Is About
Long QT Syndrome is a condition caused by cardiac channelopathies that affect heart rhythm or conduction, often linked to mutations in the KCNH2 gene encoding the human ERG channel. These mutations cause inherited LQT2 and the ERG channel is also involved in drug-induced acquired LQT2. Hundreds of KCNH2 variants have been identified, but many lack clear functional significance, making it difficult to diagnose and manage patients effectively. This research aims to address these uncertainties by evaluating the effects of these variants on the channels behavior and structure, which is vital for accurate diagnosis and treatment planning. The study involves creating a large-scale, multi-functional assessment of KCNH2 gene variants and developing a comprehensive diagnostic and prognostic database. This database will collect and organize clinical and genetic information from French reference centers, applying international guidelines for pathogenicity annotation. It will also include pharmacological studies to understand how different drugs may influence acquired LQT2 severity depending on variant location within the channel. Participants who carry a mutation in the KCNH2 gene will be included. Researchers will collect data over 42 months to develop a database that lists gene variants and their clinical impact, and to classify these variants based on their sensitivity to certain drugs. The study does not involve investigational treatments but focuses on observation and data collection to improve understanding and management of Long QT Syndrome.
CONDITIONS
Brief Title
Building of a Diagnostic/Prognostic Database for Human ERG Variant Effects
Research Team
V
Vincent Probst, PUPH
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here