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Analysing electrocardiographic traits and predicting cardiac risk in UK biobank.

Authors :
Ramírez, Julia
Duijvenboden, Stefan van
Young, William J
Orini, Michele
Jones, Aled R
Lambiase, Pier D
Munroe, Patricia B
Tinker, Andrew
Source :
JRSM Cardiovascular Disease; 6/12/2021, p1-10, 10p
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. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
GENOME-wide association studies

Details

Language :
English
ISSN :
20480040
Database :
Complementary Index
Journal :
JRSM Cardiovascular Disease
Publication Type :
Academic Journal
Accession number :
150872021
Full Text :
https://doi.org/10.1177/20480040211023664