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Genetic and environmental determinants of diastolic heart function

Thanaj, Marjola; Mielke, Johanna; McGurk, Kathryn A; Bai, Wenjia; Savioli, Nicolò; de Marvao, Antonio; Meyer, Hannah V; ... O'Regan, Declan P; + view all (2022) Genetic and environmental determinants of diastolic heart function. Nature Cardiovascular Research , 1 (4) pp. 361-371. 10.1038/s44161-022-00048-2. Green open access

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Abstract

Diastole is the sequence of physiological events that occur in the heart during ventricular filling and principally depends on myocardial relaxation and chamber stiffness. Abnormal diastolic function is related to many cardiovascular disease processes and is predictive of health outcomes, but its genetic architecture is largely unknown. Here, we use machine learning cardiac motion analysis to measure diastolic functional traits in 39,559 participants of the UK Biobank and perform a genome-wide association study. We identified 9 significant, independent loci near genes that are associated with maintaining sarcomeric function under biomechanical stress and genes implicated in the development of cardiomyopathy. Age, sex and diabetes were independent predictors of diastolic function and we found a causal relationship between genetically-determined ventricular stiffness and incident heart failure. Our results provide insights into the genetic and environmental factors influencing diastolic function that are relevant for identifying causal relationships and potential tractable targets.

Type: Article
Title: Genetic and environmental determinants of diastolic heart function
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s44161-022-00048-2
Publisher version: https://doi.org/10.1038/s44161-022-00048-2
Language: English
Additional information: © 2022 Springer Nature Limited. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Infectious Disease Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10148211
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