Literature DB >> 31707849

Predicting Benefit From Evolocumab Therapy in Patients With Atherosclerotic Disease Using a Genetic Risk Score: Results From the FOURIER Trial.

Nicholas A Marston1, Frederick K Kamanu1, Francesco Nordio1, Yared Gurmu1, Carolina Roselli2,3, Peter S Sever4, Terje R Pedersen5, Anthony C Keech6, Huei Wang7, Armando Lira Pineda7, Robert P Giugliano1, Steven A Lubitz2,8, Patrick T Ellinor2,8, Marc S Sabatine1, Christian T Ruff1.   

Abstract

BACKGROUND: The ability of a genetic risk score to predict risk in established cardiovascular disease and identify individuals who derive greater benefit from PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibition has not been established.
METHODS: We studied 14 298 patients with atherosclerotic cardiovascular disease from the FOURIER trial (Further Cardiovascular Outcomes Researh With PCSK9 Inhibition in Subjects With Elevated Risk). A 27-single-nucleotide polymorphism genetic risk score defined low (quintile 1), intermediate (quintiles 2-4), and high (quintile 5) genetic risk. Patients were also categorized by major atherosclerotic risk factors including diabetes mellitus, hypertension, low-density lipoprotein cholesterol ≥100 mg/dl, and smoking; multiple (≥2) risk factors was considered high clinical risk. Outcomes consisted of major coronary events (coronary heart death, myocardial infarction, or coronary revascularization) and major vascular events (major coronary events and ischemic stroke). Median follow-up was 2.3 years.
RESULTS: After we adjusted for clinical factors, the genetic risk score was associated with risk for both major vascular events (Ptrend=0.005) and major coronary events (Ptrend<0.0001). Individuals with intermediate and high genetic risk scores had 1.23- and 1.65-fold increased hazard for major coronary events, respectively. Elevated genetic risk was additive to major atherosclerotic risk factors and identified patients more likely to benefit from evolocumab. There was no benefit for major vascular events in patients without multiple clinical risk factors or high genetic risk (hazard ratio [HR], 1.02; absolute risk reduction [ARR], -0.2%, P=0.86). In contrast, there was a 13% relative risk reduction (HR, 0.87 [0.75-0.998], P=0.047) and a 1.4% ARR in patients with multiple clinical risk factors but without high genetic risk and a 31% relative risk reduction (HR, 0.69 [0.55-0.86], P=0.0012), and 4.0% ARR in patients with high genetic risk, irrespective of clinical risk (Ptrend for HR=0.017, ARR Ptrend=0.004). Patients with high genetic risk who received evolocumab had event rates similar to patients with a low burden of both genetic and clinical risk.
CONCLUSION: Patients without multiple clinical risk factors or high genetic risk had a low event rate and did not appear to derive benefit from evolocumab over 2.3 years. Conversely, patients with multiple clinical risk factors but without high genetic risk had intermediate risk and intermediate risk reduction. Patients with high genetic risk, regardless of clinical risk, had a high event rate and derived the greatest relative and absolute benefit from evolocumab, which mitigated this risk.

Entities:  

Keywords:  PCSK9 protein, human; cardiovascular disease; evolocumab; genetics; risk factors

Mesh:

Substances:

Year:  2019        PMID: 31707849      PMCID: PMC8058781          DOI: 10.1161/CIRCULATIONAHA.119.043805

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  26 in total

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Journal:  Circulation       Date:  2014-12-17       Impact factor: 29.690

2.  minimac2: faster genotype imputation.

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Journal:  Bioinformatics       Date:  2014-10-22       Impact factor: 6.937

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Journal:  Nat Rev Genet       Date:  2017-03-13       Impact factor: 53.242

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Journal:  Lancet       Date:  2015-01-09       Impact factor: 79.321

5.  Next-generation genotype imputation service and methods.

Authors:  Sayantan Das; Lukas Forer; Sebastian Schönherr; Carlo Sidore; Adam E Locke; Alan Kwong; Scott I Vrieze; Emily Y Chew; Shawn Levy; Matt McGue; David Schlessinger; Dwight Stambolian; Po-Ru Loh; William G Iacono; Anand Swaroop; Laura J Scott; Francesco Cucca; Florian Kronenberg; Michael Boehnke; Gonçalo R Abecasis; Christian Fuchsberger
Journal:  Nat Genet       Date:  2016-08-29       Impact factor: 38.330

6.  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

7.  Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials.

Authors:  J L Mega; N O Stitziel; S Kathiresan; M S Sabatine; J G Smith; D I Chasman; M Caulfield; J J Devlin; F Nordio; C Hyde; C P Cannon; F Sacks; N Poulter; P Sever; P M Ridker; E Braunwald; O Melander
Journal:  Lancet       Date:  2015-03-04       Impact factor: 79.321

8.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

9.  Additional value of a combined genetic risk score to standard cardiovascular stratification.

Authors:  Andreia Pereira; Maria Isabel Mendonca; Sofia Borges; Ana Célia Sousa; Sónia Freitas; Eva Henriques; Mariana Rodrigues; Ana Isabel Freitas; Graça Guerra; Carolina Freitas; Décio Pereira; António Brehm; Roberto Palma Dos Reis
Journal:  Genet Mol Biol       Date:  2018 Oct-Dec       Impact factor: 1.771

10.  Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations.

Authors:  Amit V Khera; Mark Chaffin; Krishna G Aragam; Mary E Haas; Carolina Roselli; Seung Hoan Choi; Pradeep Natarajan; Eric S Lander; Steven A Lubitz; Patrick T Ellinor; Sekar Kathiresan
Journal:  Nat Genet       Date:  2018-08-13       Impact factor: 38.330

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  40 in total

Review 1.  Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications.

Authors:  Krishna G Aragam; Pradeep Natarajan
Journal:  Circ Res       Date:  2020-04-23       Impact factor: 17.367

Review 2.  Cardiovascular Disease Prevention in Focus: Highlights from the 2019 American Heart Association Scientific Sessions.

Authors:  Anurag Mehta; Dhruv Mahtta; Martha Gulati; Laurence S Sperling; Roger S Blumenthal; Salim S Virani
Journal:  Curr Atheroscler Rep       Date:  2020-01-11       Impact factor: 5.113

3.  Validation of a Genome-Wide Polygenic Score for Coronary Artery Disease in South Asians.

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Journal:  J Am Coll Cardiol       Date:  2020-08-11       Impact factor: 24.094

4.  Genome-Wide Polygenic Score, Clinical Risk Factors, and Long-Term Trajectories of Coronary Artery Disease.

Authors:  George Hindy; Krishna G Aragam; Kenney Ng; Mark Chaffin; Luca A Lotta; Aris Baras; Isabel Drake; Marju Orho-Melander; Olle Melander; Sekar Kathiresan; Amit V Khera
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-09-22       Impact factor: 8.311

5.  The Effect of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibition on the Risk of Venous Thromboembolism.

Authors:  Christian T Ruff; Marc S Sabatine; Nicholas A Marston; Yared Gurmu; Giorgio E M Melloni; Marc Bonaca; Baris Gencer; Peter S Sever; Terje R Pedersen; Anthony C Keech; Carolina Roselli; Steven A Lubitz; Patrick T Ellinor; Michelle L O'Donoghue; Robert P Giugliano
Journal:  Circulation       Date:  2020-03-29       Impact factor: 29.690

6.  Identification of Undetected Monogenic Cardiovascular Disorders.

Authors:  Jawan W Abdulrahim; Lydia Coulter Kwee; Fawaz Alenezi; Albert Y Sun; Aris Baras; Teminioluwa A Ajayi; Ricardo Henao; Christopher L Holley; Robert W McGarrah; James P Daubert; Lauren K Truby; Sreekanth Vemulapalli; Andrew Wang; Michel G Khouri; Svati H Shah
Journal:  J Am Coll Cardiol       Date:  2020-08-18       Impact factor: 24.094

7.  Clinical Application of a Novel Genetic Risk Score for Ischemic Stroke in Patients With Cardiometabolic Disease.

Authors:  Nicholas A Marston; Parth N Patel; Steven A Lubitz; Marc S Sabatine; Christian T Ruff; Frederick K Kamanu; Francesco Nordio; Giorgio M Melloni; Carolina Roselli; Yared Gurmu; Lu-Chen Weng; Marc P Bonaca; Robert P Giugliano; Benjamin M Scirica; Michelle L O'Donoghue; Christopher P Cannon; Christopher D Anderson; Deepak L Bhatt; Philippe Gabriel Steg; Marc Cohen; Robert F Storey; Peter Sever; Anthony C Keech; Itamar Raz; Ofri Mosenzon; Elliott M Antman; Eugene Braunwald; Patrick T Ellinor
Journal:  Circulation       Date:  2020-11-13       Impact factor: 29.690

Review 8.  A Less than Provocative Approach for the Primary Prevention of CAD.

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9.  Genetic Risk Score to Identify Risk of Venous Thromboembolism in Patients With Cardiometabolic Disease.

Authors:  Patrick T Ellinor; Marc S Sabatine; Christian T Ruff; Nicholas A Marston; Giorgio E M Melloni; Yared Gurmu; Marc P Bonaca; Frederick K Kamanu; Carolina Roselli; Christina Lee; Ilaria Cavallari; Robert P Giugliano; Benjamin M Scirica; Deepak L Bhatt; Philippe Gabriel Steg; Marc Cohen; Robert F Storey; Anthony C Keech; Itamar Raz; Ofri Mosenzon; Eugene Braunwald; Steven A Lubitz
Journal:  Circ Genom Precis Med       Date:  2021-01-12

Review 10.  How Do We Incorporate Polygenic Risk Scores in Cardiovascular Disease Risk Assessment and Management?

Authors:  Trevor D Hadley; Ali M Agha; Christie M Ballantyne
Journal:  Curr Atheroscler Rep       Date:  2021-04-01       Impact factor: 5.113

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