We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ZeptoMetrix an Antylia scientific company

Download Mobile App




Rare Genetic Variants Can Contribute to Ischemic Heart Failure

By LabMedica International staff writers
Posted on 29 Dec 2020
Print article
Image: Illustration of Normal Heart versus Heart with Dilated Cardiomyopathy (Photo courtesy of Medical gallery of Blausen Medical).
Image: Illustration of Normal Heart versus Heart with Dilated Cardiomyopathy (Photo courtesy of Medical gallery of Blausen Medical).
Heart failure affects about 40 million people globally, and most cases are due to ischemic heart disease, hypertension, or cardiomyopathies. Cardiomyopathies have been traced to rare variants in genes that encode sarcomere or cytoskeletal proteins, channels, or desmosomes, while genome-wide association studies have underscored common variants linked to heart failure.

Mendelian genetic conditions may represent an important subset of complex late-onset diseases such as heart failure, irrespective of the clinical presentation. Sequencing studies have identified causal genetic variants for distinct subtypes of heart failure (HF) such as hypertrophic or dilated cardiomyopathy. However, the role of rare, high-impact variants in HF, for which ischemic heart disease is the leading cause, has not been systematically investigated.

Medical scientists at the Columbia University Medical Center (New York, NY, USA) and their international colleagues sequenced the exomes of 5,942 people with heart failure from the Candesartan in Heart Failure-Assessment of Reduction in Mortality and Morbidity (CHARM) and the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA) clinical trials. The mean age (± SD) was 68.9 ± 9.9 years and 4,213 (70.9%) were male. Most of the patients in the CORONA and CHARM trial had heart failure with reduced ejection fraction, though a portion of the CHARM study patients had heart failure with preserved ejection fraction. The studies included 13,156 unrelated controls.

The team reported that in their analysis of all heart failure subtypes, the TTN gene reached study wide significance, with the strongest association in a dominant protein truncation variant model. Protein truncation variants in TTN are a known cause of cardiomyopathy, particularly dilated cardiomyopathy. Most of the cardiomyopathy-associated variants cluster in the distal exons, and the likelihood that a variant is pathogenic can be captured by the proportion spliced-in (PSI) metric. More than 55% of heart failure patients with TTN-truncating variants with high PSI scores had ischemic heart disease as their primary etiology, suggesting that even though TTN variants are only known to cause nonischemic cardiomyopathies, they are enriched among heart failure patients with ischemic disease, as compared to controls.

The team also noted that the TET2 gene reached significance in a protein truncation variant model among the subgroup with heart failure with reduced ejection fraction from the CORONA trial. In a diagnostic analysis of 41 known cardiomyopathy genes, they uncovered 204 diagnostic variants in 201 of 5,916 heart failure patients. Large portions (61.3%) of the diagnostic variants were TTN-truncating variants. Among people with ischemic heart disease, they uncovered diagnostic variants in a number of dilated cardiomyopathy genes like TTN, DSG2, and BAG3.

The authors concluded that an increased burden of diagnostic Mendelian cardiomyopathy variants in a broad group of patients with HF of mostly ischemic etiology compared with controls was observed. This work provides further evidence that Mendelian genetic conditions may represent an important subset of complex late-onset diseases such as HF, irrespective of the clinical presentation. The study was published on December 16, 2020 in the journal JAMA Cardiology.

Related Links:
Columbia University Medical Center

Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Cytomegalovirus Real-Time PCR Test
Quanty CMV Virus System
New
FOB+Transferrin+Calprotectin+Lactoferrin Test
CerTest FOB+Transferrin+Calprotectin+Lactoferrin Combo Test

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Molecular Diagnostics

view channel
Image: The advanced molecular test is designed to improve diagnosis of a genetic form of COPD (Photo courtesy of National Jewish Health)

Groundbreaking Molecular Diagnostic Test Accurately Diagnoses Major Genetic Cause of COPD

Chronic obstructive pulmonary disease (COPD) and Alpha-1 Antitrypsin Deficiency (AATD) are both conditions that can cause breathing difficulties, but they differ in their origins and inheritance.... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.