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Published on: January 16, 2019
Screening for Rare Coding Variants That Associate With the QTc Interval in Iceland
Gardar Sveinbjornsson1, Bara D Benediktsdottir2, Gunnlaugur Sigfusson3
1deCODE Genetics/Amgen, Inc. Reykjavik Iceland.
Long-QT syndrome (LQTS) genetic variants are more common than previously thought, with some linked to severe cardiac events. Understanding variant impact aids in better risk assessment and clinical management for Long-QT syndrome patients.
Area of Science:
- Cardiovascular Genetics
- Human Genetics
- Molecular Cardiology
Background:
- Long-QT syndrome (LQTS) is a cardiac repolarization disorder linked to sudden cardiac death.
- Pathogenic variants in KCNQ1, KCNH2, and SCN5A are primary causes of LQTS.
- Limited data exist on LQTS epidemiology, variant expressivity, and penetrance.
Purpose of the Study:
- To screen for rare coding variants associated with the corrected QT (QTc) interval in Iceland.
- To investigate the frequency, penetrance, and association with severe events of identified variants.
- To enhance understanding of LQTS genetic underpinnings and clinical implications.
Main Methods:
- Screening for rare coding variants impacting the QTc interval in an Icelandic cohort.
- Analysis of variant frequencies, penetrance, and correlation with severe clinical outcomes.
- Statistical association testing for QTc interval prolongation and sudden cardiac death.
Main Results:
- Twelve variants associated with the QTc interval were identified, including in KCNQ1, KCNH2, MYBPC3, PKP2, ISOC1, and MYOM2.
- Combined carrier frequency for 8 variants in known LQTS genes was 1:190.
- KCNQ1 variants p.Tyr315Cys and p.Leu273Phe showed strong QTc prolongation and p.Leu273Phe associated with sudden cardiac death; p.Val215Met had a smaller QTc effect and no severe event association.
Conclusions:
- The carrier frequency of variants associated with LQTS is higher than previously estimated.
- Identified variants exhibit variable expressivity, influencing QTc interval and clinical severity.
- Findings support improved identification, risk stratification, and personalized clinical management for QTc prolongation.
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