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Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course

IMPORTANCE: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. Understanding the variable importance of genomic and clinical factors across...

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Autores principales: Urbut, Sarah M., Cho, So Mi Jemma, Paruchuri, Kaavya, Truong, Buu, Haidermota, Sara, Peloso, Gina, Hornsby, Whitney, Philippakis, Anthony, Fahed, Akl C., Natarajan, Pradeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635271/
https://www.ncbi.nlm.nih.gov/pubmed/37961553
http://dx.doi.org/10.1101/2023.11.03.23298055
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author Urbut, Sarah M.
Cho, So Mi Jemma
Paruchuri, Kaavya
Truong, Buu
Haidermota, Sara
Peloso, Gina
Hornsby, Whitney
Philippakis, Anthony
Fahed, Akl C.
Natarajan, Pradeep
author_facet Urbut, Sarah M.
Cho, So Mi Jemma
Paruchuri, Kaavya
Truong, Buu
Haidermota, Sara
Peloso, Gina
Hornsby, Whitney
Philippakis, Anthony
Fahed, Akl C.
Natarajan, Pradeep
author_sort Urbut, Sarah M.
collection PubMed
description IMPORTANCE: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. Understanding the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction. OBJECTIVE: To assess the time-varying significance of genomic and clinical risk factors in CAD risk estimation across various age groups. DESIGN, SETTING, AND PARTICIPANTS: A longitudinal study was performed using data from two cohort studies: the Framingham Offspring Study (FOS) with 3,588 participants aged 19–57 years and the UK Biobank (UKB) with 327,837 participants aged 40–70 years. A total of 134,765 and 3,831,734 person-time years were observed in FOS and UKB, respectively. MAIN OUTCOMES AND MEASURES: Hazard ratios (HR) for CAD were calculated for polygenic risk scores (PRS) and clinical risk factors at each age of enrollment. The relative importance of PRS and Pooled Cohort Equations (PCE) in predicting CAD events was also evaluated by age groups. RESULTS: The importance of CAD PRS diminished over the life course, with an HR of 3.58 (95% CI 1.39–9.19) at age 19 in FOS and an HR of 1.51 (95% CI 1.48–1.54) by age 70 in UKB. Clinical risk factors exhibited similar age-dependent trends. PRS significantly outperformed PCE in identifying subsequent CAD events in the 40–45-year age group, with 3.2-fold more appropriately identified events. The mean age of CAD events occurred 1.8 years earlier for those at high genomic risk but 9.6 years later for those at high clinical risk (p<0.001). Overall, adding PRS improved the area under the receiving operating curve of the PCE by an average of +5.1% (95% CI 4.9–5.2%) across all age groups; among individuals <55 years, PRS augmented the AUC-ROC of the PCE by 6.5% (95% CI 5.5–7.5%, p<0.001). CONCLUSIONS AND RELEVANCE: Genomic and clinical risk factors for CAD display time-varying importance across the lifespan. The study underscores the added value of CAD PRS, particularly among individuals younger than 55 years, for enhancing early risk prediction and prevention strategies.
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spelling pubmed-106352712023-11-13 Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course Urbut, Sarah M. Cho, So Mi Jemma Paruchuri, Kaavya Truong, Buu Haidermota, Sara Peloso, Gina Hornsby, Whitney Philippakis, Anthony Fahed, Akl C. Natarajan, Pradeep medRxiv Article IMPORTANCE: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. Understanding the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction. OBJECTIVE: To assess the time-varying significance of genomic and clinical risk factors in CAD risk estimation across various age groups. DESIGN, SETTING, AND PARTICIPANTS: A longitudinal study was performed using data from two cohort studies: the Framingham Offspring Study (FOS) with 3,588 participants aged 19–57 years and the UK Biobank (UKB) with 327,837 participants aged 40–70 years. A total of 134,765 and 3,831,734 person-time years were observed in FOS and UKB, respectively. MAIN OUTCOMES AND MEASURES: Hazard ratios (HR) for CAD were calculated for polygenic risk scores (PRS) and clinical risk factors at each age of enrollment. The relative importance of PRS and Pooled Cohort Equations (PCE) in predicting CAD events was also evaluated by age groups. RESULTS: The importance of CAD PRS diminished over the life course, with an HR of 3.58 (95% CI 1.39–9.19) at age 19 in FOS and an HR of 1.51 (95% CI 1.48–1.54) by age 70 in UKB. Clinical risk factors exhibited similar age-dependent trends. PRS significantly outperformed PCE in identifying subsequent CAD events in the 40–45-year age group, with 3.2-fold more appropriately identified events. The mean age of CAD events occurred 1.8 years earlier for those at high genomic risk but 9.6 years later for those at high clinical risk (p<0.001). Overall, adding PRS improved the area under the receiving operating curve of the PCE by an average of +5.1% (95% CI 4.9–5.2%) across all age groups; among individuals <55 years, PRS augmented the AUC-ROC of the PCE by 6.5% (95% CI 5.5–7.5%, p<0.001). CONCLUSIONS AND RELEVANCE: Genomic and clinical risk factors for CAD display time-varying importance across the lifespan. The study underscores the added value of CAD PRS, particularly among individuals younger than 55 years, for enhancing early risk prediction and prevention strategies. Cold Spring Harbor Laboratory 2023-11-04 /pmc/articles/PMC10635271/ /pubmed/37961553 http://dx.doi.org/10.1101/2023.11.03.23298055 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Urbut, Sarah M.
Cho, So Mi Jemma
Paruchuri, Kaavya
Truong, Buu
Haidermota, Sara
Peloso, Gina
Hornsby, Whitney
Philippakis, Anthony
Fahed, Akl C.
Natarajan, Pradeep
Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course
title Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course
title_full Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course
title_fullStr Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course
title_full_unstemmed Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course
title_short Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course
title_sort dynamic importance of genomic and clinical risk for coronary artery disease over the life course
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635271/
https://www.ncbi.nlm.nih.gov/pubmed/37961553
http://dx.doi.org/10.1101/2023.11.03.23298055
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