Cited by 115Lipoproteins and Cardiovascular HealthGenetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Polygenic risk score predicts prevalence of cardiovascular disease in patients with familial hypercholesterolemia

Paquette, Martine, Chong, Michael, Thériault, Sébastien, Dufour, Robert, Paré, Guillaume, Baass, Alexis·2017·Journal of Clinical Lipidology

Abstract

Background Although familial hypercholesterolemia (FH) is a severe monogenic disease, it has been shown that clinical risk factors and common genetic variants can modify cardiovascular disease (CVD) risk. Objective The aim of the study was to evaluate the polygenic contribution to lipid traits and CVD in FH using genetic risk scores (GRSs). Methods Among the 20,434 subjects attending the lipid clinic, we identified and included 725 individuals who carried an FH causing mutation in this retrospective cohort study. We evaluated the association of GRSs for several traits including coronary artery disease (CAD; GRS CAD ) as well as plasma concentrations of low-density lipoprotein cholesterol (LDL-C; GRS LDL-C ), high-density lipoprotein cholesterol (GRS HDL-C ) and triglycerides (GRS TG ). Results A total of 32% (n = 231) of FH subjects presented a CVD event before their first visit. Patients in the highest GRS LDL-C tertile presented an LDL-C 0.4 mmol/L (15.5 mg/dL) higher than the subjects in the lowest tertile (P = .01). The GRS CAD was strongly associated with CVD events (odds ratio 1.80; 95% confidence interval 1.14-2.85; P = .01) even after adjustment for cardiovascular risk factors. Compared with subjects in the first tertile, those in the third GRS CAD tertile had a significantly higher prevalence of events (40.9% vs 24.7%, P Conclusion These results indicate that even in the context of a severe monogenic disease such as FH, common genetic variants can significantly modif…

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Crossref · 10.1016/j.jacl.2017.03.019

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  • Integrated models of PRS together with other lifestyle and clinical factors have enabled clinicians to more accurately quantify the risk of heart attack.

    “Additionally, integrated models of PRS together with other lifestyle and clinical factors have enabled clinicians to more accurately quantify the risk of heart attack for patients;”
  • Polygenic scores have contributed new approaches to risk prediction for adverse phenotypes related to heart disease.

    “For example, they have contributed new approaches to risk prediction for adverse phenotypes related to heart disease [21–23].”

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Authors
Paquette, M., Chong, M., Thériault, S., Dufour, R., Paré, G., & Baass, A.
Affiliations
  • Montreal Clinical Research Institute (CA)
  • Hamilton General Hospital (CA)
  • Institut universitaire de cardiologie et de pneumologie de Québec (CA)
Corresponding author
Baass, Alexis
Venue
Journal of Clinical Lipidology
Publisher
Elsevier BV
Published
2017-05
Volume
11
Issue
3
Pages
725-732.e5
ISSN
  • 1876-4789 (ISSN-L)
  • 1933-2874
OpenAlex
W2604231946
Cited by
115
References
3
Citations by year
2026: 7 · 2025: 10 · 2024: 8 · 2023: 10 · 2022: 14 · 2021: 14 · 2020: 18 · 2019: 20 · 2018: 11 · 2017: 3
FWCI
14.56
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of clinical lipidology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Fondation Leducq (13CVD03)
  • Amgen
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
familial hypercholesterolemia, polygenic risk score, cardiovascular disease, coronary artery disease, LDL cholesterol, HDL cholesterol, triglycerides, lipid traits, common genetic variants, cardiovascular risk prediction, lipid clinic patients
MeSH terms
Adult, Cardiovascular Diseases, Female, Humans, Hyperlipoproteinemia Type II, Lipids, Male, Phenotype, Risk Factors, Genetic Variation, Prevalence

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