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


Journal

Journal of the American College of Cardiology
ISSN: 1558-3597
Titre abrégé: J Am Coll Cardiol
Pays: United States
ID NLM: 8301365

Informations de publication

Date de publication:
09 06 2020
Historique:
received: 15 01 2020
revised: 31 03 2020
accepted: 07 04 2020
entrez: 6 6 2020
pubmed: 6 6 2020
medline: 6 1 2021
Statut: ppublish

Résumé

Polygenic risk scores (PRS) for coronary artery disease (CAD) identify high-risk individuals more likely to benefit from primary prevention statin therapy. Whether polygenic CAD risk is captured by conventional paradigms for assessing clinical cardiovascular risk remains unclear. This study sought to intersect polygenic risk with guideline-based recommendations and management patterns for CAD primary prevention. A genome-wide CAD PRS was applied to 47,108 individuals across 3 U.S. health care systems. The authors then assessed whether primary prevention patients at high polygenic risk might be distinguished on the basis of greater guideline-recommended statin eligibility and higher rates of statin therapy. Of 47,108 study participants, the mean age was 60 years, and 11,020 (23.4%) had CAD. The CAD PRS strongly associated with prevalent CAD (odds ratio: 1.4 per SD increase in PRS; p < 0.0001). High polygenic risk (top 20% of PRS) conferred 1.9-fold odds of developing CAD (p < 0.0001). However, among primary prevention patients (n = 33,251), high polygenic risk did not correspond with increased recommendations for statin therapy per the American College of Cardiology/American Heart Association (46.2% for those with high PRS vs. 46.8% for all others, p = 0.54) or U.S. Preventive Services Task Force (43.7% vs. 43.7%, p = 0.99) or higher rates of statin prescriptions (25.0% vs. 23.8%, p = 0.04). An additional 4.1% of primary prevention patients may be recommended for statin therapy if high CAD PRS were considered a guideline-based risk-enhancing factor. Current paradigms for primary cardiovascular prevention incompletely capture a polygenic susceptibility to CAD. An opportunity may exist to improve CAD prevention efforts by integrating both genetic and clinical risk.

Sections du résumé

BACKGROUND
Polygenic risk scores (PRS) for coronary artery disease (CAD) identify high-risk individuals more likely to benefit from primary prevention statin therapy. Whether polygenic CAD risk is captured by conventional paradigms for assessing clinical cardiovascular risk remains unclear.
OBJECTIVES
This study sought to intersect polygenic risk with guideline-based recommendations and management patterns for CAD primary prevention.
METHODS
A genome-wide CAD PRS was applied to 47,108 individuals across 3 U.S. health care systems. The authors then assessed whether primary prevention patients at high polygenic risk might be distinguished on the basis of greater guideline-recommended statin eligibility and higher rates of statin therapy.
RESULTS
Of 47,108 study participants, the mean age was 60 years, and 11,020 (23.4%) had CAD. The CAD PRS strongly associated with prevalent CAD (odds ratio: 1.4 per SD increase in PRS; p < 0.0001). High polygenic risk (top 20% of PRS) conferred 1.9-fold odds of developing CAD (p < 0.0001). However, among primary prevention patients (n = 33,251), high polygenic risk did not correspond with increased recommendations for statin therapy per the American College of Cardiology/American Heart Association (46.2% for those with high PRS vs. 46.8% for all others, p = 0.54) or U.S. Preventive Services Task Force (43.7% vs. 43.7%, p = 0.99) or higher rates of statin prescriptions (25.0% vs. 23.8%, p = 0.04). An additional 4.1% of primary prevention patients may be recommended for statin therapy if high CAD PRS were considered a guideline-based risk-enhancing factor.
CONCLUSIONS
Current paradigms for primary cardiovascular prevention incompletely capture a polygenic susceptibility to CAD. An opportunity may exist to improve CAD prevention efforts by integrating both genetic and clinical risk.

Identifiants

pubmed: 32498804
pii: S0735-1097(20)34939-1
doi: 10.1016/j.jacc.2020.04.027
pmc: PMC7346975
mid: NIHMS1592979
pii:
doi:

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2769-2780

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL139731
Pays : United States
Organisme : NHLBI NIH HHS
ID : K24 HL105780
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM124836
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL092577
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL139865
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL148565
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL142711
Pays : United States
Organisme : CSRD VA
ID : IK2 CX001780
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG008685
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL148050
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 American College of Cardiology Foundation. All rights reserved.

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Auteurs

Krishna G Aragam (KG)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Amanda Dobbyn (A)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.

Renae Judy (R)

Department of Surgery, Perlman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Mark Chaffin (M)

Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.

Kumardeep Chaudhary (K)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.

George Hindy (G)

Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.

Andrew Cagan (A)

Research Computing, Partners HealthCare, Charlestown, Massachusetts.

Phoebe Finneran (P)

Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Lu-Chen Weng (LC)

Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Ruth J F Loos (RJF)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York.

Girish Nadkarni (G)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.

Judy H Cho (JH)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Rachel L Kember (RL)

Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Aris Baras (A)

Regeneron Genetics Center, Tarrytown, New York.

Jeffrey Reid (J)

Regeneron Genetics Center, Tarrytown, New York.

John Overton (J)

Regeneron Genetics Center, Tarrytown, New York.

Anthony Philippakis (A)

Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.

Patrick T Ellinor (PT)

Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Scott T Weiss (ST)

Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.

Daniel J Rader (DJ)

Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Steven A Lubitz (SA)

Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Jordan W Smoller (JW)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute, Boston, Massachusetts.

Elizabeth W Karlson (EW)

Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts.

Amit V Khera (AV)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.

Sekar Kathiresan (S)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.

Ron Do (R)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: RON.DO@MSSM.EDU.

Scott M Damrauer (SM)

Department of Surgery, Perlman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania.

Pradeep Natarajan (P)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: PNATARAJAN@PARTNERS.ORG.

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