Unraveling Complexities in Genetically Elusive Long QT Syndrome.
Babken AsatryanBrittney MurrayAlessio GasperettiRebecca McClellanAndreas S BarthPublished in: Circulation. Arrhythmia and electrophysiology (2024)
Genetic testing has become standard of care for patients with long QT syndrome (LQTS), providing diagnostic, prognostic, and therapeutic information for both probands and their family members. However, up to a quarter of patients with LQTS do not have identifiable Mendelian pathogenic variants in the currently known LQTS-associated genes. This absence of genetic confirmation, intriguingly, does not lessen the severity of LQTS, with the prognosis in these gene-elusive patients with unequivocal LQTS mirroring genotype-positive patients in the limited data available. Such a conundrum instigates an exploration into the causes of corrected QT interval (QTc) prolongation in these cases, unveiling a broad spectrum of potential scenarios and mechanisms. These include multiple environmental influences on QTc prolongation, exercise-induced repolarization abnormalities, and the profound implications of the constantly evolving nature of genetic testing and variant interpretation. In addition, the rapid advances in genetics have the potential to uncover new causal genes, and polygenic risk factors may aid in the diagnosis of high-risk patients. Navigating this multifaceted landscape requires a systematic approach and expert knowledge, integrating the dynamic nature of genetics and patient-specific influences for accurate diagnosis, management, and counseling of patients. The role of a subspecialized expert cardiogenetic clinic is paramount in evaluation to navigate this complexity. Amid these intricate aspects, this review outlines potential causes of gene-elusive LQTS. It also provides an outline for the evaluation of patients with negative and inconclusive genetic test results and underscores the need for ongoing adaptation and reassessment in our understanding of LQTS, as the complexities of gene-elusive LQTS are increasingly deciphered.
Keyphrases
- genome wide
- end stage renal disease
- ejection fraction
- copy number
- healthcare
- newly diagnosed
- risk factors
- prognostic factors
- gene expression
- dna methylation
- clinical practice
- machine learning
- mass spectrometry
- autism spectrum disorder
- human health
- high resolution
- hepatitis c virus
- electronic health record
- human immunodeficiency virus
- case report
- artificial intelligence
- sensitive detection