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August 21, 2023Nature CommunicationsOpen Access

Environmental and genetic predictors of human cardiovascular ageing

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Why the study?

Cardiovascular ageing leads to progressive structural and functional decline contributing to multi-morbidity, but its genetic architecture is not known.

Population

39,559 participants of UK Biobank

Authors

MSMit ShahNational Institutes of HealthMIMarco Henrique de Almeida InácioBrazilian Institute of Geography and StatisticsCLChang LuKean University

Discussion

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Implication

Identifies candidate loci for cardiovascular ageing; leaves open clinical utility pending prospective validation and functional studies.

Structured PICO

P
Population
39,559 participants of UK Biobank
O
Outcome
Cardiovascular age quantified from image-derived traits of vascular function, cardiac motion, myocardial fibrosis, and electrocardiogram conduction traitssurrogate

Machine learning analysis of UK Biobank imaging and ECG data identified novel genetic variants and cardiometabolic risk factors associated with accelerated cardiovascular aging.

Cite This Study

Shah et al. (2023) studied this question.

synapsesocial.com/papers/6a853ff0f14ace264a43d5c1https://doi.org/10.1038/s41467-023-40566-6
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep neural network-estimated electrocardiographic age as a mortality predictor2021 · 244 citations
  2. 2Contemporary Assessment of Left Ventricular Diastolic Function in Older Adults2016 · 126 citations
  3. 3UK Biobank's cardiovascular magnetic resonance protocol2016 · 507 citations
  4. 4Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population2017 · 4,419 citations
  5. 5Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality2023 · 634 citations