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Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score
BACKGROUND: Coronary artery disease (CAD) risk traditionally has been assessed using clinical risk factors. We evaluated whether molecular genetic markers for CAD risk could add information to traditional variables. METHODS: We developed a false discovery rate 267-marker genetic risk score (FDR(267)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063618/ https://www.ncbi.nlm.nih.gov/pubmed/32159086 http://dx.doi.org/10.1016/j.cjco.2019.01.003 |
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author | Liu, Robin Cheng, Jiahui Muzlera, Carlos Robinson, John F. Ban, Matthew R. Hegele, Robert A. |
author_facet | Liu, Robin Cheng, Jiahui Muzlera, Carlos Robinson, John F. Ban, Matthew R. Hegele, Robert A. |
author_sort | Liu, Robin |
collection | PubMed |
description | BACKGROUND: Coronary artery disease (CAD) risk traditionally has been assessed using clinical risk factors. We evaluated whether molecular genetic markers for CAD risk could add information to traditional variables. METHODS: We developed a false discovery rate 267-marker genetic risk score (FDR(267)) from markers that were significantly associated with CAD in the UK Biobank cohort meta-analysis. FDR(267) was tested in the Atherosclerosis Risk in Communities cohort using logistic regression and Cox proportional hazards analyses in the European and African American groups. RESULTS: Our genetic risk score (FDR(267)) was associated with a 1.45 (95% confidence interval, 1.39-1.51) increase in odds ratio and a 1.32 (95% confidence interval, 1.26-1.38) increase in hazard ratio per standard deviation of the score. The score modestly improved the area under the curve (AUC) statistic when added to a clinical model (ΔAUC = 0.0112, P = 0.0002). FDR(267) predicted incident CAD (C-index = 0.60), although it did not improve on clinical risk factors (ΔAUC = 0.0159, P = 0.0965). Individuals in the top quintile of FDR(267) genetic risk were at approximately 2-fold increased risk compared with the bottom quintile, which is comparable to risk associated with self-reported family history. The performance of FDR(267) was less robust in the African American sample. CONCLUSIONS: FDR(267) is significantly associated with CAD in the European sample, with an effect size comparable to self-reported family history. FDR(267) discriminated between individuals with and without CAD, but did not improve CAD risk prediction over clinical variables. FDR(267) was less predictive of CAD risk in African Americans. |
format | Online Article Text |
id | pubmed-7063618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70636182020-03-10 Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score Liu, Robin Cheng, Jiahui Muzlera, Carlos Robinson, John F. Ban, Matthew R. Hegele, Robert A. CJC Open Original Article BACKGROUND: Coronary artery disease (CAD) risk traditionally has been assessed using clinical risk factors. We evaluated whether molecular genetic markers for CAD risk could add information to traditional variables. METHODS: We developed a false discovery rate 267-marker genetic risk score (FDR(267)) from markers that were significantly associated with CAD in the UK Biobank cohort meta-analysis. FDR(267) was tested in the Atherosclerosis Risk in Communities cohort using logistic regression and Cox proportional hazards analyses in the European and African American groups. RESULTS: Our genetic risk score (FDR(267)) was associated with a 1.45 (95% confidence interval, 1.39-1.51) increase in odds ratio and a 1.32 (95% confidence interval, 1.26-1.38) increase in hazard ratio per standard deviation of the score. The score modestly improved the area under the curve (AUC) statistic when added to a clinical model (ΔAUC = 0.0112, P = 0.0002). FDR(267) predicted incident CAD (C-index = 0.60), although it did not improve on clinical risk factors (ΔAUC = 0.0159, P = 0.0965). Individuals in the top quintile of FDR(267) genetic risk were at approximately 2-fold increased risk compared with the bottom quintile, which is comparable to risk associated with self-reported family history. The performance of FDR(267) was less robust in the African American sample. CONCLUSIONS: FDR(267) is significantly associated with CAD in the European sample, with an effect size comparable to self-reported family history. FDR(267) discriminated between individuals with and without CAD, but did not improve CAD risk prediction over clinical variables. FDR(267) was less predictive of CAD risk in African Americans. Elsevier 2019-03-29 /pmc/articles/PMC7063618/ /pubmed/32159086 http://dx.doi.org/10.1016/j.cjco.2019.01.003 Text en © 2019 Canadian Cardiovascular Society. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Liu, Robin Cheng, Jiahui Muzlera, Carlos Robinson, John F. Ban, Matthew R. Hegele, Robert A. Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score |
title | Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score |
title_full | Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score |
title_fullStr | Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score |
title_full_unstemmed | Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score |
title_short | Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score |
title_sort | clinical utility and practical considerations of a coronary artery disease genetic risk score |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063618/ https://www.ncbi.nlm.nih.gov/pubmed/32159086 http://dx.doi.org/10.1016/j.cjco.2019.01.003 |
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