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Analysing electrocardiographic traits and predicting cardiac risk in UK biobank.
- Source :
-
JRSM cardiovascular disease [JRSM Cardiovasc Dis] 2021 Jun 12; Vol. 10, pp. 20480040211023664. Date of Electronic Publication: 2021 Jun 12 (Print Publication: 2021). - Publication Year :
- 2021
-
Abstract
- The electrocardiogram (ECG) is a commonly used clinical tool that reflects cardiac excitability and disease. Many parameters are can be measured and with the improvement of methodology can now be quantified in an automated fashion, with accuracy and at scale. Furthermore, these measurements can be heritable and thus genome wide association studies inform the underpinning biological mechanisms. In this review we describe how we have used the resources in UK Biobank to undertake such work. In particular, we focus on a substudy uniquely describing the response to exercise performed at scale with accompanying genetic information.<br />Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.<br /> (© The Author(s) 2021.)
Details
- Language :
- English
- ISSN :
- 2048-0040
- Volume :
- 10
- Database :
- MEDLINE
- Journal :
- JRSM cardiovascular disease
- Publication Type :
- Academic Journal
- Accession number :
- 34211707
- Full Text :
- https://doi.org/10.1177/20480040211023664