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Analysing electrocardiographic traits and predicting cardiac risk in UK biobank

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 h...

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Autores principales: Ramírez, Julia, van Duijvenboden, Stefan, Young, William J, Orini, Michele, Jones, Aled R, Lambiase, Pier D, Munroe, Patricia B, Tinker, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202245/
https://www.ncbi.nlm.nih.gov/pubmed/34211707
http://dx.doi.org/10.1177/20480040211023664
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author Ramírez, Julia
van Duijvenboden, Stefan
Young, William J
Orini, Michele
Jones, Aled R
Lambiase, Pier D
Munroe, Patricia B
Tinker, Andrew
author_facet Ramírez, Julia
van Duijvenboden, Stefan
Young, William J
Orini, Michele
Jones, Aled R
Lambiase, Pier D
Munroe, Patricia B
Tinker, Andrew
author_sort Ramírez, Julia
collection PubMed
description 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.
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spelling pubmed-82022452021-06-30 Analysing electrocardiographic traits and predicting cardiac risk in UK biobank Ramírez, Julia van Duijvenboden, Stefan Young, William J Orini, Michele Jones, Aled R Lambiase, Pier D Munroe, Patricia B Tinker, Andrew JRSM Cardiovasc Dis Review 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. SAGE Publications 2021-06-12 /pmc/articles/PMC8202245/ /pubmed/34211707 http://dx.doi.org/10.1177/20480040211023664 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Ramírez, Julia
van Duijvenboden, Stefan
Young, William J
Orini, Michele
Jones, Aled R
Lambiase, Pier D
Munroe, Patricia B
Tinker, Andrew
Analysing electrocardiographic traits and predicting cardiac risk in UK biobank
title Analysing electrocardiographic traits and predicting cardiac risk in UK biobank
title_full Analysing electrocardiographic traits and predicting cardiac risk in UK biobank
title_fullStr Analysing electrocardiographic traits and predicting cardiac risk in UK biobank
title_full_unstemmed Analysing electrocardiographic traits and predicting cardiac risk in UK biobank
title_short Analysing electrocardiographic traits and predicting cardiac risk in UK biobank
title_sort analysing electrocardiographic traits and predicting cardiac risk in uk biobank
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202245/
https://www.ncbi.nlm.nih.gov/pubmed/34211707
http://dx.doi.org/10.1177/20480040211023664
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