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Analysing electrocardiographic traits and predicting cardiac risk in UK biobank. | LitMetric

Analysing electrocardiographic traits and predicting cardiac risk in UK biobank.

JRSM Cardiovasc Dis

Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Published: June 2021

AI Article Synopsis

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202245PMC
http://dx.doi.org/10.1177/20480040211023664DOI Listing

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