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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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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. |
format | Online Article Text |
id | pubmed-8202245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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