Why the study?
High-throughput DNA sequencing has vastly expanded the number of variants of uncertain significance in hypertrophic cardiomyopathy, leading to inconclusive results that limit the clinical utility of genetic testing.
RNA analysis improves diagnostic outcomes in hypertrophic cardiomyopathy by identifying splicing variants and offers potential for RNA-based therapeutics.
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RNA analysis may refine HCM diagnosis via splicing variants; leaves open needs for validation before clinical or therapeutic adoption.
Hypertrophic cardiomyopathy (HCM), the most common inherited heart disease, is predominantly caused by mutations in genes that encode sarcomere-associated proteins. Effective gene-based diagnosis is critical for the accurate clinical management of patients and their family members. However, the introduction of high-throughput DNA sequencing approaches for clinical diagnostics has vastly expanded the number of variants of uncertain significance, leading to many inconclusive results that limit the clinical utility of genetic testing. More recently, developments in RNA analysis have been improving diagnostic outcomes by identifying new variants that interfere with splicing. This review summarizes recent discoveries of RNA mis-splicing in HCM and provides an overview of research that aims to apply the concept of RNA therapeutics to HCM.
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Ribeiro et al. (2020) studied this question.
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