Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease

被引:0
|
作者
Peter Loof Møller
Palle Duun Rohde
Jonathan Nørtoft Dahl
Laust Dupont Rasmussen
Louise Nissen
Samuel Emil Schmidt
Victoria McGilligan
Daniel F. Gudbjartsson
Kari Stefansson
Hilma Holm
Jacob Fog Bentzon
Morten Bøttcher
Simon Winther
Mette Nyegaard
机构
[1] Aarhus University,Department of Biomedicine
[2] Aalborg University,Department of Health Science and Technology
[3] Gødstrup Hospital,Department of Cardiology
[4] Aarhus University,Department of Clinical Medicine
[5] Ulster University,Personalized Medicine Centre, School of Medicine
[6] deCODE Genetics/Amgen,School of Engineering and Natural Sciences
[7] Inc,Faculty of Medicine
[8] University of Iceland,Department of Cardiology
[9] University of Iceland,undefined
[10] Centro Nacional de Investigaciones Cardiovasculares,undefined
[11] Aalborg University Hospital,undefined
来源
关键词
High-risk coronary plaque; Coronary artery disease; Prediction; Genetics; Olink proteomics;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease
    Moller, Peter Loof
    Rohde, Palle Duun
    Dahl, Jonathan Nortoft
    Rasmussen, Laust Dupont
    Nissen, Louise
    Schmidt, Samuel Emil
    McGilligan, Victoria
    Gudbjartsson, Daniel F.
    Stefansson, Kari
    Holm, Hilma
    Bentzon, Jacob Fog
    Bottcher, Morten
    Winther, Simon
    Nyegaard, Mette
    GENOME MEDICINE, 2024, 16 (01)
  • [2] Biomarkers for identification of high-risk coronary artery plaques in patients with suspected coronary artery disease
    Pedersen, Gitte
    Dahl, Jonathan Nortoft
    Rasmussen, Laust Dupont
    Blavnsfeldt, Anne-Birgitte Garm
    Bottcher, Sidsel Hauge
    Bottcher, Matias Hauge
    Nyegaard, Mette
    Nissen, Louise
    Winther, Simon
    JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2024, 18 (05) : 467 - 475
  • [3] Biomarkers for identification of high-risk coronary plaques in patients with suspected coronary artery disease
    Pedersen, G. P.
    Dahl, J. D.
    Rasmussen, L. D. R.
    Blavnsfeldt, A. B.
    Boettcher, S. B.
    Boettcher, M. B.
    Nyegaard, M. N.
    Nissen, L. N.
    Winther, S. W.
    EUROPEAN HEART JOURNAL, 2023, 44
  • [4] Polygenic risk scores in coronary artery disease
    Christiansen, Morten Krogh
    Nyegaard, Mette
    Jensen, Henrik Kjaerulf
    CURRENT OPINION IN CARDIOLOGY, 2023, 38 (01) : 39 - 46
  • [5] Polygenic risk scores in coronary artery disease
    Rao, Abhiram S.
    Knowles, Joshua W.
    CURRENT OPINION IN CARDIOLOGY, 2019, 34 (04) : 435 - 440
  • [6] Polygenic Risk Scores in Predicting Coronary Artery Disease in Symptomatic Patients. A Validation Study
    Kujala, Iida
    Vangipurapu, Jagadish
    Maaniitty, Teemu
    Saraste, Antti
    Kere, Juha
    Knuuti, Juhani
    JOURNAL OF ATHEROSCLEROSIS AND THROMBOSIS, 2024, 31 (07) : 1058 - 1071
  • [7] EXPLORING THE POTENTIAL OF POLYGENIC RISK SCORES FOR PREDICTING CORONARY ARTERY DISEASE IN PATIENTS WITH RHEUMATOID ARTHRITIS
    Soomro, Mehreen
    Stadler, Michael
    Viatte, Sebastien
    MacGregor, Alexander
    Verstappen, Suzanne
    Barton, Anne
    Bowes, John
    RHEUMATOLOGY, 2022, 61 : I15 - I15
  • [8] Clinical utility of polygenic risk scores for coronary artery disease
    Derek Klarin
    Pradeep Natarajan
    Nature Reviews Cardiology, 2022, 19 : 291 - 301
  • [9] Prediction of Coronary Artery Disease Subtypes With Polygenic Risk Scores
    Liou, Lathan
    Gonzalez, Judit Garcia
    Wu, Hei Man
    Wang, Zhe
    Choi, Shing Wan
    Hoggart, Clive
    Kontorovich, Amy R.
    Kovacic, Jason
    OReilly, Paul
    CIRCULATION, 2024, 149
  • [10] Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation
    Gladding, Patrick A.
    Legget, Malcolm
    Fatkin, Diane
    Larsen, Peter
    Doughty, Robert
    HEART LUNG AND CIRCULATION, 2020, 29 (04): : 634 - 640