Literature DB >> 34949098

Prognostic Value of a Polygenic Risk Score for Coronary Heart Disease in Individuals Aged 70 Years and Older.

Johannes T Neumann1,2,3, Moeen Riaz1, Andrew Bakshi1, Galina Polekhina1, Le T P Thao1, Mark R Nelson1,4, Robyn L Woods1, Gad Abraham5, Michael Inouye5,6, Christopher M Reid7, Andrew M Tonkin1, John McNeil1, Paul Lacaze1.   

Abstract

BACKGROUND: The use of a polygenic risk score (PRS) to improve risk prediction of coronary heart disease (CHD) events has been demonstrated to have clinical utility in the general adult population. However, the prognostic value of a PRS for CHD has not been examined specifically in older populations of individuals aged ≥70 years, who comprise a distinct high-risk subgroup. The objective of this study was to evaluate the predictive value of a PRS for incident CHD events in a prospective cohort of older individuals without a history of cardiovascular events.
METHODS: We used data from 12 792 genotyped, healthy older individuals enrolled into the ASPREE trial (Aspirin in Reducing Events in the Elderly), a randomized double-blind placebo-controlled clinical trial investigating the effect of daily 100 mg aspirin on disability-free survival. Participants had no previous history of diagnosed atherothrombotic cardiovascular events, dementia, or persistent physical disability at enrollment. We calculated a PRS (meta-genomic risk score) consisting of 1.7 million genetic variants. The primary outcome was a composite of incident myocardial infarction or CHD death over 5 years.
RESULTS: At baseline, the median population age was 73.9 years, and 54.9% were female. In total, 254 incident CHD events occurred. When the PRS was added to conventional risk factors, it was independently associated with CHD (hazard ratio, 1.24 [95% CI, 1.08-1.42], P=0.002). The area under the curve of the conventional model was 70.53 (95% CI, 67.00-74.06), and after inclusion of the PRS increased to 71.78 (95% CI, 68.32-75.24, P=0.019), demonstrating improved prediction. Reclassification was also improved, as the continuous net reclassification index after adding PRS to the conventional model was 0.25 (95% CI, 0.15-0.28).
CONCLUSION: A PRS for CHD performs well in older people and improves prediction over conventional cardiovascular risk factors. Our study provides evidence that genomic risk prediction for CHD has clinical utility in individuals aged 70 years and older. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01038583.

Entities:  

Keywords:  aspirin; cardiovascular disease; genetics; prognosis; risk factor

Mesh:

Substances:

Year:  2021        PMID: 34949098      PMCID: PMC8847323          DOI: 10.1161/CIRCGEN.121.003429

Source DB:  PubMed          Journal:  Circ Genom Precis Med        ISSN: 2574-8300


  16 in total

1.  Limitations of Contemporary Guidelines for Managing Patients at High Genetic Risk of Coronary Artery Disease.

Authors:  Krishna G Aragam; Amanda Dobbyn; Renae Judy; Mark Chaffin; Kumardeep Chaudhary; George Hindy; Andrew Cagan; Phoebe Finneran; Lu-Chen Weng; Ruth J F Loos; Girish Nadkarni; Judy H Cho; Rachel L Kember; Aris Baras; Jeffrey Reid; John Overton; Anthony Philippakis; Patrick T Ellinor; Scott T Weiss; Daniel J Rader; Steven A Lubitz; Jordan W Smoller; Elizabeth W Karlson; Amit V Khera; Sekar Kathiresan; Ron Do; Scott M Damrauer; Pradeep Natarajan
Journal:  J Am Coll Cardiol       Date:  2020-06-09       Impact factor: 24.094

2.  Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups.

Authors:  Ozan Dikilitas; Daniel J Schaid; Matthew L Kosel; Robert J Carroll; Christopher G Chute; Joshua A Denny; Alex Fedotov; QiPing Feng; Hakon Hakonarson; Gail P Jarvik; Ming Ta Michael Lee; Jennifer A Pacheco; Robb Rowley; Patrick M Sleiman; C Michael Stein; Amy C Sturm; Wei-Qi Wei; Georgia L Wiesner; Marc S Williams; Yanfei Zhang; Teri A Manolio; Iftikhar J Kullo
Journal:  Am J Hum Genet       Date:  2020-05-07       Impact factor: 11.025

3.  Family history and polygenic risk of cardiovascular disease: Independent factors associated with secondary cardiovascular events in patients undergoing carotid endarterectomy.

Authors:  Nathalie Timmerman; Dominique P V de Kleijn; Gert J de Borst; Hester M den Ruijter; Folkert W Asselbergs; Gerard Pasterkamp; Saskia Haitjema; Sander W van der Laan
Journal:  Atherosclerosis       Date:  2020-05-03       Impact factor: 5.162

4.  Genetic susceptibility to death from coronary heart disease in a study of twins.

Authors:  M E Marenberg; N Risch; L F Berkman; B Floderus; U de Faire
Journal:  N Engl J Med       Date:  1994-04-14       Impact factor: 91.245

Review 5.  Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation.

Authors:  Patrick A Gladding; Malcolm Legget; Diane Fatkin; Peter Larsen; Robert Doughty
Journal:  Heart Lung Circ       Date:  2019-12-27       Impact factor: 2.975

6.  2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR).

Authors:  Massimo F Piepoli; Arno W Hoes; Stefan Agewall; Christian Albus; Carlos Brotons; Alberico L Catapano; Marie-Therese Cooney; Ugo Corrà; Bernard Cosyns; Christi Deaton; Ian Graham; Michael Stephen Hall; F D Richard Hobbs; Maja-Lisa Løchen; Herbert Löllgen; Pedro Marques-Vidal; Joep Perk; Eva Prescott; Josep Redon; Dimitrios J Richter; Naveed Sattar; Yvo Smulders; Monica Tiberi; H Bart van der Worp; Ineke van Dis; W M Monique Verschuren; Simone Binno
Journal:  Eur Heart J       Date:  2016-05-23       Impact factor: 29.983

7.  Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease.

Authors:  Amit V Khera; Connor A Emdin; Isabel Drake; Pradeep Natarajan; Alexander G Bick; Nancy R Cook; Daniel I Chasman; Usman Baber; Roxana Mehran; Daniel J Rader; Valentin Fuster; Eric Boerwinkle; Olle Melander; Marju Orho-Melander; Paul M Ridker; Sekar Kathiresan
Journal:  N Engl J Med       Date:  2016-11-13       Impact factor: 91.245

8.  Validation of Genome-Wide Polygenic Risk Scores for Coronary Artery Disease in French Canadians.

Authors:  Florian Wünnemann; Ken Sin Lo; Alexandra Langford-Avelar; David Busseuil; Marie-Pierre Dubé; Jean-Claude Tardif; Guillaume Lettre
Journal:  Circ Genom Precis Med       Date:  2019-06-11

9.  SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions.

Authors: 
Journal:  Eur Heart J       Date:  2021-07-01       Impact factor: 35.855

10.  Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention.

Authors:  Michael Inouye; Gad Abraham; Christopher P Nelson; Angela M Wood; Michael J Sweeting; Frank Dudbridge; Florence Y Lai; Stephen Kaptoge; Marta Brozynska; Tingting Wang; Shu Ye; Thomas R Webb; Martin K Rutter; Ioanna Tzoulaki; Riyaz S Patel; Ruth J F Loos; Bernard Keavney; Harry Hemingway; John Thompson; Hugh Watkins; Panos Deloukas; Emanuele Di Angelantonio; Adam S Butterworth; John Danesh; Nilesh J Samani
Journal:  J Am Coll Cardiol       Date:  2018-10-16       Impact factor: 24.094

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  2 in total

Review 1.  Cardiovascular Risk Prediction Models and Scores in the Era of Personalized Medicine.

Authors:  Areti Sofogianni; Nikolaos Stalikas; Christina Antza; Konstantinos Tziomalos
Journal:  J Pers Med       Date:  2022-07-20

Review 2.  Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology.

Authors:  Aamir Javaid; Fawzi Zghyer; Chang Kim; Erin M Spaulding; Nino Isakadze; Jie Ding; Daniel Kargillis; Yumin Gao; Faisal Rahman; Donald E Brown; Suchi Saria; Seth S Martin; Christopher M Kramer; Roger S Blumenthal; Francoise A Marvel
Journal:  Am J Prev Cardiol       Date:  2022-08-29
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