Key result
~1,469 non-coding variants identified across cardiovascular diseases, primarily FH, HCM, and DCM.
Why the study?
Non-coding variants account for 90% of CVD-associated single-nucleotide polymorphisms identified by GWAS, but a comprehensive review of these reported variants across different CVDs was lacking.
Non-coding variants in regions such as promoters, enhancers, and introns account for a significant portion of genetic associations with cardiovascular diseases, offering potential for improved genetic diagnosis.
May improve diagnostic yield in FH and inherited cardiomyopathies; leaves open functional validation and prospective trials.
Cardiovascular diseases (CVDs) constitute one of the significant causes of death worldwide. Different pathological states are linked to CVDs, which despite interventions and treatments, still have poor prognoses. The genetic component, as a beneficial tool in the risk stratification of CVD development, plays a role in the pathogenesis of this group of diseases. The emergence of genome-wide association studies (GWAS) have led to the identification of non-coding parts associated with cardiovascular traits and disorders. Variants located in functional non-coding regions, including promoters/enhancers, introns, miRNAs and 5'/3' UTRs, account for 90% of all identified single-nucleotide polymorphisms associated with CVDs. Here, for the first time, we conducted a comprehensive review on the reported non-coding variants for different CVDs, including hypercholesterolemia, cardiomyopathies, congenital heart diseases, thoracic aortic aneurysms/dissections and coronary artery diseases. Additionally, we present the most commonly reported genes involved in each CVD. In total, 1469 non-coding variants constitute most reports on familial hypercholesterolemia, hypertrophic cardiomyopathy and dilated cardiomyopathy. The application and identification of non-coding variants are beneficial for the genetic diagnosis and better therapeutic management of CVDs.
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Heshmatzad et al. (2023) conducted a review in Cardiovascular diseases. Non-coding variants was evaluated. Non-coding variants (n=1469) were identified across different cardiovascular diseases, primarily constituting reports on familial hypercholesterolemia, hypertrophic and dilated cardiomyopathy.
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