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Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction

BACKGROUND: There is considerable interest in whether genetic data can be used to improve standard cardiovascular disease risk calculators, as the latter are routinely used in clinical practice to manage preventative treatment. METHODS: Using the UK Biobank resource, we developed our own polygenic r...

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Autores principales: Riveros-Mckay, Fernando, Weale, Michael E., Moore, Rachel, Selzam, Saskia, Krapohl, Eva, Sivley, R. Michael, Tarran, William A., Sørensen, Peter, Lachapelle, Alexander S., Griffiths, Jonathan A., Saffari, Ayden, Deanfield, John, Spencer, Chris C.A., Hippisley-Cox, Julia, Hunter, David J., O’Sullivan, Jack W., Ashley, Euan A., Plagnol, Vincent, Donnelly, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284388/
https://www.ncbi.nlm.nih.gov/pubmed/33651632
http://dx.doi.org/10.1161/CIRCGEN.120.003304
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author Riveros-Mckay, Fernando
Weale, Michael E.
Moore, Rachel
Selzam, Saskia
Krapohl, Eva
Sivley, R. Michael
Tarran, William A.
Sørensen, Peter
Lachapelle, Alexander S.
Griffiths, Jonathan A.
Saffari, Ayden
Deanfield, John
Spencer, Chris C.A.
Hippisley-Cox, Julia
Hunter, David J.
O’Sullivan, Jack W.
Ashley, Euan A.
Plagnol, Vincent
Donnelly, Peter
author_facet Riveros-Mckay, Fernando
Weale, Michael E.
Moore, Rachel
Selzam, Saskia
Krapohl, Eva
Sivley, R. Michael
Tarran, William A.
Sørensen, Peter
Lachapelle, Alexander S.
Griffiths, Jonathan A.
Saffari, Ayden
Deanfield, John
Spencer, Chris C.A.
Hippisley-Cox, Julia
Hunter, David J.
O’Sullivan, Jack W.
Ashley, Euan A.
Plagnol, Vincent
Donnelly, Peter
author_sort Riveros-Mckay, Fernando
collection PubMed
description BACKGROUND: There is considerable interest in whether genetic data can be used to improve standard cardiovascular disease risk calculators, as the latter are routinely used in clinical practice to manage preventative treatment. METHODS: Using the UK Biobank resource, we developed our own polygenic risk score for coronary artery disease (CAD). We used an additional 60 000 UK Biobank individuals to develop an integrated risk tool (IRT) that combined our polygenic risk score with established risk tools (either the American Heart Association/American College of Cardiology pooled cohort equations [PCE] or UK QRISK3), and we tested our IRT in an additional, independent set of 186 451 UK Biobank individuals. RESULTS: The novel CAD polygenic risk score shows superior predictive power for CAD events, compared with other published polygenic risk scores, and is largely uncorrelated with PCE and QRISK3. When combined with PCE into an IRT, it has superior predictive accuracy. Overall, 10.4% of incident CAD cases were misclassified as low risk by PCE and correctly classified as high risk by the IRT, compared with 4.4% misclassified by the IRT and correctly classified by PCE. The overall net reclassification improvement for the IRT was 5.9% (95% CI, 4.7–7.0). When individuals were stratified into age-by-sex subgroups, the improvement was larger for all subgroups (range, 8.3%–15.4%), with the best performance in 40- to 54-year-old men (15.4% [95% CI, 11.6–19.3]). Comparable results were found using a different risk tool (QRISK3) and also a broader definition of cardiovascular disease. Use of the IRT is estimated to avoid up to 12 000 deaths in the United States over a 5-year period. CONCLUSIONS: An IRT that includes polygenic risk outperforms current risk stratification tools and offers greater opportunity for early interventions. Given the plummeting costs of genetic tests, future iterations of CAD risk tools would be enhanced with the addition of a person’s polygenic risk.
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spelling pubmed-82843882021-08-02 Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction Riveros-Mckay, Fernando Weale, Michael E. Moore, Rachel Selzam, Saskia Krapohl, Eva Sivley, R. Michael Tarran, William A. Sørensen, Peter Lachapelle, Alexander S. Griffiths, Jonathan A. Saffari, Ayden Deanfield, John Spencer, Chris C.A. Hippisley-Cox, Julia Hunter, David J. O’Sullivan, Jack W. Ashley, Euan A. Plagnol, Vincent Donnelly, Peter Circ Genom Precis Med Original Articles BACKGROUND: There is considerable interest in whether genetic data can be used to improve standard cardiovascular disease risk calculators, as the latter are routinely used in clinical practice to manage preventative treatment. METHODS: Using the UK Biobank resource, we developed our own polygenic risk score for coronary artery disease (CAD). We used an additional 60 000 UK Biobank individuals to develop an integrated risk tool (IRT) that combined our polygenic risk score with established risk tools (either the American Heart Association/American College of Cardiology pooled cohort equations [PCE] or UK QRISK3), and we tested our IRT in an additional, independent set of 186 451 UK Biobank individuals. RESULTS: The novel CAD polygenic risk score shows superior predictive power for CAD events, compared with other published polygenic risk scores, and is largely uncorrelated with PCE and QRISK3. When combined with PCE into an IRT, it has superior predictive accuracy. Overall, 10.4% of incident CAD cases were misclassified as low risk by PCE and correctly classified as high risk by the IRT, compared with 4.4% misclassified by the IRT and correctly classified by PCE. The overall net reclassification improvement for the IRT was 5.9% (95% CI, 4.7–7.0). When individuals were stratified into age-by-sex subgroups, the improvement was larger for all subgroups (range, 8.3%–15.4%), with the best performance in 40- to 54-year-old men (15.4% [95% CI, 11.6–19.3]). Comparable results were found using a different risk tool (QRISK3) and also a broader definition of cardiovascular disease. Use of the IRT is estimated to avoid up to 12 000 deaths in the United States over a 5-year period. CONCLUSIONS: An IRT that includes polygenic risk outperforms current risk stratification tools and offers greater opportunity for early interventions. Given the plummeting costs of genetic tests, future iterations of CAD risk tools would be enhanced with the addition of a person’s polygenic risk. Lippincott Williams & Wilkins 2021-03-02 /pmc/articles/PMC8284388/ /pubmed/33651632 http://dx.doi.org/10.1161/CIRCGEN.120.003304 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Circulation: Genomic and Precision Medicine is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Articles
Riveros-Mckay, Fernando
Weale, Michael E.
Moore, Rachel
Selzam, Saskia
Krapohl, Eva
Sivley, R. Michael
Tarran, William A.
Sørensen, Peter
Lachapelle, Alexander S.
Griffiths, Jonathan A.
Saffari, Ayden
Deanfield, John
Spencer, Chris C.A.
Hippisley-Cox, Julia
Hunter, David J.
O’Sullivan, Jack W.
Ashley, Euan A.
Plagnol, Vincent
Donnelly, Peter
Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
title Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
title_full Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
title_fullStr Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
title_full_unstemmed Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
title_short Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
title_sort integrated polygenic tool substantially enhances coronary artery disease prediction
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284388/
https://www.ncbi.nlm.nih.gov/pubmed/33651632
http://dx.doi.org/10.1161/CIRCGEN.120.003304
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