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Analysing electrocardiographic traits and predicting cardiac risk in UK biobank.

Authors :
Ramírez J
van Duijvenboden S
Young WJ
Orini M
Jones AR
Lambiase PD
Munroe PB
Tinker A
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