Why the study?
ECG parameters can be accurately quantified automatically at scale, and their heritability allows genome-wide association studies to inform biological mechanisms using UK Biobank resources.
This review highlights the utility of the UK Biobank for large-scale, automated ECG analysis and genome-wide association studies to understand the biological mechanisms of cardiac excitability and risk.
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UK Biobank ECG GWAS identify heritable traits and mechanisms; leaves open clinical translation pending validation.
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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Ramírez et al. (2021) studied this question.
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