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Updated: Dec 31, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure
Sonia Shah1,2,3, Albert Henry2,3,4, Carolina Roselli5,6
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Insights
This large genome-wide association study (GWAS) identified 12 new genetic variants linked to heart failure (HF). These findings reveal shared genetic causes between HF and other cardiovascular conditions, offering new therapeutic targets.
Area of Science:
- Genetics
- Cardiovascular Medicine
- Genomics
Background:
- Heart failure (HF) is a major global health burden with largely unexplained heritability.
- Existing genome-wide association studies (GWAS) have provided limited insights into HF's genetic architecture.
- Monogenic cardiomyopathies account for only a small fraction of HF cases.
Purpose of the Study:
- To identify novel genetic loci associated with heart failure.
- To explore the shared genetic etiology between heart failure and related cardiovascular diseases.
- To investigate the functional roles of newly identified genes in HF pathogenesis.
Main Methods:
- Conducted a large-scale GWAS meta-analysis of HF, including 47,309 cases and 930,014 controls.
- Performed functional analysis of identified genetic loci.
- Utilized Mendelian randomization to assess causal relationships between risk factors and HF.
Main Results:
- Identified 12 independent variants at 11 genomic loci associated with HF.
- Observed shared genetic associations between HF, coronary artery disease (CAD), atrial fibrillation, and left ventricular function.
- Functional analyses implicated genes in cardiac development, protein homeostasis, and cellular senescence.
- Mendelian randomization supported causal roles for several HF risk factors and identified CAD-independent effects for atrial fibrillation, BMI, and hypertension.
Conclusions:
- The study expands the understanding of genetic pathways underlying HF.
- Identified genetic variants suggest shared etiology with other cardiovascular conditions.
- Findings may guide the development of novel therapeutic strategies for heart failure.
Abstract:
Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
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