Cargando…

Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease

BACKGROUND: The value of polygenic risk scores (PRSs) towards improving guideline-recommended clinical risk models for coronary artery disease (CAD) prediction is controversial. Here we examine whether an integrated polygenic risk score improves the prediction of CAD beyond pooled cohort equations. ...

Descripción completa

Detalles Bibliográficos
Autores principales: King, Austin, Wu, Lang, Deng, Hong-Wen, Shen, Hui, Wu, Chong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639312/
https://www.ncbi.nlm.nih.gov/pubmed/36336692
http://dx.doi.org/10.1186/s12916-022-02583-y
_version_ 1784825610302914560
author King, Austin
Wu, Lang
Deng, Hong-Wen
Shen, Hui
Wu, Chong
author_facet King, Austin
Wu, Lang
Deng, Hong-Wen
Shen, Hui
Wu, Chong
author_sort King, Austin
collection PubMed
description BACKGROUND: The value of polygenic risk scores (PRSs) towards improving guideline-recommended clinical risk models for coronary artery disease (CAD) prediction is controversial. Here we examine whether an integrated polygenic risk score improves the prediction of CAD beyond pooled cohort equations.  METHODS: An observation study of 291,305 unrelated White British UK Biobank participants enrolled from 2006 to 2010 was conducted. A case–control sample of 9499 prevalent CAD cases and an equal number of randomly selected controls was used for tuning and integrating of the polygenic risk scores. A separate cohort of 272,307 individuals (with follow-up to 2020) was used to examine the risk prediction performance of pooled cohort equations, integrated polygenic risk score, and PRS-enhanced pooled cohort equation for incident CAD cases. The performance of each model was analyzed by discrimination and risk reclassification using a 7.5% threshold. RESULTS: In the cohort of 272,307 individuals (mean age, 56.7 years) used to analyze predictive accuracy, there were 7036 incident CAD cases over a 12-year follow-up period. Model discrimination was tested for integrated polygenic risk score, pooled cohort equation, and PRS-enhanced pooled cohort equation with reported C-statistics of 0.640 (95% CI, 0.634–0.646), 0.718 (95% CI, 0.713–0.723), and 0.753 (95% CI, 0.748–0.758), respectively. Risk reclassification for the addition of the integrated polygenic risk score to the pooled cohort equation at a 7.5% risk threshold resulted in a net reclassification improvement of 0.117 (95% CI, 0.102 to 0.129) for cases and − 0.023 (95% CI, − 0.025 to − 0.022) for noncases [overall: 0.093 (95% CI, 0.08 to 0.104)]. For incident CAD cases, this represented 14.2% correctly reclassified to the higher-risk category and 2.6% incorrectly reclassified to the lower-risk category. CONCLUSIONS: Addition of the integrated polygenic risk score for CAD to the pooled cohort questions improves the predictive accuracy for incident CAD and clinical risk classification in the White British from the UK Biobank. These findings suggest that an integrated polygenic risk score may enhance CAD risk prediction and screening in the White British population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02583-y.
format Online
Article
Text
id pubmed-9639312
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96393122022-11-08 Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease King, Austin Wu, Lang Deng, Hong-Wen Shen, Hui Wu, Chong BMC Med Research Article BACKGROUND: The value of polygenic risk scores (PRSs) towards improving guideline-recommended clinical risk models for coronary artery disease (CAD) prediction is controversial. Here we examine whether an integrated polygenic risk score improves the prediction of CAD beyond pooled cohort equations.  METHODS: An observation study of 291,305 unrelated White British UK Biobank participants enrolled from 2006 to 2010 was conducted. A case–control sample of 9499 prevalent CAD cases and an equal number of randomly selected controls was used for tuning and integrating of the polygenic risk scores. A separate cohort of 272,307 individuals (with follow-up to 2020) was used to examine the risk prediction performance of pooled cohort equations, integrated polygenic risk score, and PRS-enhanced pooled cohort equation for incident CAD cases. The performance of each model was analyzed by discrimination and risk reclassification using a 7.5% threshold. RESULTS: In the cohort of 272,307 individuals (mean age, 56.7 years) used to analyze predictive accuracy, there were 7036 incident CAD cases over a 12-year follow-up period. Model discrimination was tested for integrated polygenic risk score, pooled cohort equation, and PRS-enhanced pooled cohort equation with reported C-statistics of 0.640 (95% CI, 0.634–0.646), 0.718 (95% CI, 0.713–0.723), and 0.753 (95% CI, 0.748–0.758), respectively. Risk reclassification for the addition of the integrated polygenic risk score to the pooled cohort equation at a 7.5% risk threshold resulted in a net reclassification improvement of 0.117 (95% CI, 0.102 to 0.129) for cases and − 0.023 (95% CI, − 0.025 to − 0.022) for noncases [overall: 0.093 (95% CI, 0.08 to 0.104)]. For incident CAD cases, this represented 14.2% correctly reclassified to the higher-risk category and 2.6% incorrectly reclassified to the lower-risk category. CONCLUSIONS: Addition of the integrated polygenic risk score for CAD to the pooled cohort questions improves the predictive accuracy for incident CAD and clinical risk classification in the White British from the UK Biobank. These findings suggest that an integrated polygenic risk score may enhance CAD risk prediction and screening in the White British population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02583-y. BioMed Central 2022-11-07 /pmc/articles/PMC9639312/ /pubmed/36336692 http://dx.doi.org/10.1186/s12916-022-02583-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
King, Austin
Wu, Lang
Deng, Hong-Wen
Shen, Hui
Wu, Chong
Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
title Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
title_full Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
title_fullStr Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
title_full_unstemmed Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
title_short Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
title_sort polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639312/
https://www.ncbi.nlm.nih.gov/pubmed/36336692
http://dx.doi.org/10.1186/s12916-022-02583-y
work_keys_str_mv AT kingaustin polygenicriskscoreimprovestheaccuracyofaclinicalriskscoreforcoronaryarterydisease
AT wulang polygenicriskscoreimprovestheaccuracyofaclinicalriskscoreforcoronaryarterydisease
AT denghongwen polygenicriskscoreimprovestheaccuracyofaclinicalriskscoreforcoronaryarterydisease
AT shenhui polygenicriskscoreimprovestheaccuracyofaclinicalriskscoreforcoronaryarterydisease
AT wuchong polygenicriskscoreimprovestheaccuracyofaclinicalriskscoreforcoronaryarterydisease