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Will Genetic Data Significantly Change Cardiovascular Risk Prediction in Daily Practice?

Young, WJ; Ramirez, J; Van Duijvenboden, S; Tinker, A; Lambiase, PD; Munroe, PB; Orini, M; (2020) Will Genetic Data Significantly Change Cardiovascular Risk Prediction in Daily Practice? In: Proceedings of 2020 Computing in Cardiology (CinC 2020). Computing in Cardiology: Rimini, Italy. Green open access

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Abstract

Precision medicine has been heralded as an opportunity to improve risk prediction, driven significantly by an increasing availability of genetic data. Genetic testing for rare mutations linked with Mendelian monogenic syndromes is available in specialised clinics. For complex diseases however, aggregation of common and low frequency variants into a “polygenic risk score” (PRS) is necessary due to their small individual effect sizes. PRSs for coronary artery disease (CAD), hypertension and atrial fibrillation have shown some modest success at a population level. However, scepticism remains whether the genetic effects in CV disease are sufficient to have meaningful clinical impact. This review explores recent efforts to utilise genomic data for risk prediction using CAD as an example.

Type: Proceedings paper
Title: Will Genetic Data Significantly Change Cardiovascular Risk Prediction in Daily Practice?
Event: 2020 Computing in Cardiology (CinC 2020)
Open access status: An open access version is available from UCL Discovery
DOI: 10.22489/CinC.2020.481
Publisher version: https://doi.org/10.22489/CinC.2020.481
Language: English
Additional information: This is an Open Access paper published under a Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Clinical Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery.ucl.ac.uk/id/eprint/10123269
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