Abstract 4359763: Genetic determinants of left ventricular diastolic function

Background: Left ventricular (LV) diastolic function relies on active myocardial relaxation and passive cardiac chamber stiffness and is assessed by echocardiography. Abnormal LV diastolic function portends worse outcomes in heart failure (HF), cardiomyopathies, coronary artery disease, and atrial fibrillation. Few studies have evaluated genetic determinants of LV diastolic function. Methods: We meta-analyzed genome-wide association studies (GWAS) for seven quantitative LV diastolic traits measured by echocardiography using data from the Copenhagen Hospital Biobank and previously published GWAS from the EchoGen consortium. Analyzed traits included transmitral flow velocities (E- and A-wave, E/A ratio), E-wave deceleration time, tissue Doppler parameters (average e’, E/e’), left atrial (LA) diameter. We investigated if lead variants were reported in published GWAS for cardiometabolic traits. We next evaluated genetic correlations (r g ) between diastolic traits and published GWAS for cardiomyopathies, heart failure subtypes, and MRI-derived diastolic function traits from the UK Biobank. Results: Using up to 72,093 individuals for genetic discovery, we identified 37 genome-wide significant independent loci associated with five of seven meta-analyzed traits ( Fig.1) . Lead variants overlapped with several published cardiometabolic risk loci, most prominently hypertensive traits. Several other were previously implicated in cardiomyopathies ( MYH7, BAG3, SYNPO2L, PITX2, FHOD3, STRN, SYNPO2L, CDKN1A; Fig.2 ) , and we also found loci near calcium-handling genes ( PLN, CASQ2 ) and natriuretic peptide signalling genes ( ANNP, NPR3 ). Several LV diastolic traits had strong genetic correlation to cMRI-derived traits (r g range from 0.60 [between E/A-ratio and LV strain] to 0.98 [between average e’ and LA passive emptying fraction]; all P < 1.5×10 -5 ). LA diameter, E- and A-wave had moderate genetic correlation with cardiomyopathies, including HFpEF (r g range 0.31 – 0.54; all P < 0.01). Conclusion: Common genetic variation plays a role in several key components of diastolic function, and are partly underpinned by variants near sarcomere, calcium-handling, and natriuretic signalling genes. Genetic correlation demonstrated that increased early and late diastolic filling as well as increased left atrial diameter positively correlated to HFpEF. Our findings indicate the variety of biological pathways contributing to cardiac diastolic function

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4359763
Primary Topic
Genetic Associations and Epidemiology
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article
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article

Abstract 4359763: Genetic determinants of left ventricular diastolic function

Ramachandran Srini Vasan, Søren A Rand, Jesper J. Linde, Marcus Dörr et al.
Circulation
Genetic Associations and Epidemiology
article

Abstract 4359763: Genetic determinants of left ventricular diastolic function

Ramachandran Srini Vasan, Søren A Rand, Jesper J. Linde, Marcus Dörr, Pradeep Natarajan, Henning Bundgaard, Johan Skov Bundgaard, Aeron Small, Jonas Ghouse, Alexander Teumer, Jacob Eifer Møller, Chaoqun Zheng
article en

Abstract

Background: Left ventricular (LV) diastolic function relies on active myocardial relaxation and passive cardiac chamber stiffness and is assessed by echocardiography. Abnormal LV diastolic function portends worse outcomes in heart failure (HF), cardiomyopathies, coronary artery disease, and atrial fibrillation. Few studies have evaluated genetic determinants of LV diastolic function. Methods: We meta-analyzed genome-wide association studies (GWAS) for seven quantitative LV diastolic traits measured by echocardiography using data from the Copenhagen Hospital Biobank and previously published GWAS from the EchoGen consortium. Analyzed traits included transmitral flow velocities (E- and A-wave, E/A ratio), E-wave deceleration time, tissue Doppler parameters (average e’, E/e’), left atrial (LA) diameter. We investigated if lead variants were reported in published GWAS for cardiometabolic traits. We next evaluated genetic correlations (r g ) between diastolic traits and published GWAS for cardiomyopathies, heart failure subtypes, and MRI-derived diastolic function traits from the UK Biobank. Results: Using up to 72,093 individuals for genetic discovery, we identified 37 genome-wide significant independent loci associated with five of seven meta-analyzed traits ( Fig.1) . Lead variants overlapped with several published cardiometabolic risk loci, most prominently hypertensive traits. Several other were previously implicated in cardiomyopathies ( MYH7, BAG3, SYNPO2L, PITX2, FHOD3, STRN, SYNPO2L, CDKN1A; Fig.2 ) , and we also found loci near calcium-handling genes ( PLN, CASQ2 ) and natriuretic peptide signalling genes ( ANNP, NPR3 ). Several LV diastolic traits had strong genetic correlation to cMRI-derived traits (r g range from 0.60 [between E/A-ratio and LV strain] to 0.98 [between average e’ and LA passive emptying fraction]; all P < 1.5×10 -5 ). LA diameter, E- and A-wave had moderate genetic correlation with cardiomyopathies, including HFpEF (r g range 0.31 – 0.54; all P < 0.01). Conclusion: Common genetic variation plays a role in several key components of diastolic function, and are partly underpinned by variants near sarcomere, calcium-handling, and natriuretic signalling genes. Genetic correlation demonstrated that increased early and late diastolic filling as well as increased left atrial diameter positively correlated to HFpEF. Our findings indicate the variety of biological pathways contributing to cardiac diastolic function

CirculationVol. 152(Suppl_3)
Brigham and Women's Hospital (US), Universitätsmedizin Greifswald (DE), Odense University Hospital (DK), Aarhus University Hospital (DK), Rigshospitalet (DK), Universität Greifswald (DE), Massachusetts General Hospital (US)
Openalex Percentile: Top 66%
Genetic Associations and Epidemiology
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