Evidence map›Paper›PMID 40593158›Full record

ArticleCommunications medicine2025

Appraisal of multiple polygenic risk scores to estimate the risk of myocardial infarction and coronary artery lesions.

Hasanga D Manikpurage, Jérôme Bourgault, Ursula Houessou, Audrey Paulin, Pardis Zamani, Eloi Gagnon, Zhonglin Li, Dominique K Boudreau, Aida Eslami, Pierre Voisine and 4 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hasanga D ManikpurageCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-2365-6956
Jérôme BourgaultCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-5803-353X
Ursula HouessouCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.
Audrey PaulinCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-1224-9538
Pardis ZamaniCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.
Eloi GagnonCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-7483-1371
Zhonglin LiCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0003-3659-2389
Dominique K BoudreauCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-2406-2447
Aida EslamiCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.
Pierre VoisineDepartment of Surgery, Faculty of Medicine, Université Laval, Québec, QC, Canada.
Patrick MathieuCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-3805-2004
Yohan BosséCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-3067-3711
Benoit J ArsenaultCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada.ORCID http://orcid.org/0000-0003-2240-8456
Sébastien ThériaultCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada. sebastien.theriault@criucpq.ulaval.ca.ORCID http://orcid.org/0000-0003-1893-8307

Funding

Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-162344
6 · The paper itself

Abstract

backgroundPolygenic risk scores (PRS) could help to identify individuals with a high genetic risk profile for coronary artery disease (CAD). We aimed to evaluate the association between previously reported PRS and myocardial infarction (MI) as well as the extent and recurrence of coronary artery lesions.

methodsWe validated previously reported CAD-PRS and 6 cardiovascular (CV) risk factors PRS (systolic blood pressure [SBP], type 2 diabetes [T2D], body-mass index [BMI], low-density lipoprotein cholesterol [LDL], triglycerides [TG], and lipoprotein-[a][Lp(a)]) in individuals of European ancestry from two Canadian population-based cohorts, the Canadian Longitudinal Study on Aging (CLSA, N = 24,599) and CARTaGENE (N = 26,806). Using a stepwise model, we determined an optimal combination of PRS to identify MI. We tested the selected PRS for association with the severity and recurrence of atherosclerotic CAD evaluated by coronary angiography in patients undergoing cardiac surgery (QUEBEC-ANGIO, N = 4108).

resultsWe show that the CAD-PRS most strongly associated with MI has odds ratios per standard deviation increment of 1.75 [1.64-1.86] (P = 1.57E-70) in CLSA and 1.87 [1.73-2.03] (P = 3.06E-53) in CARTaGENE. In CLSA, the optimal model includes CAD-PRS, SBP-PRS, BMI-PRS, LDL-PRS, TG-PRS and Lp(a)-PRS. Adding these PRS increases modestly yet significantly the discriminative capacity when compared to traditional risk factors (difference of AUC = 0.025 [0.019-0.031] in CLSA, 0.018 [0.012-0.024] in CARTaGENE). In QUEBEC-ANGIO, the CAD-PRS is gradually and significantly associated with the extent and recurrence of CAD.

conclusionsScreening multiple validated PRS may significantly improve genetic risk estimation of MI as well as the extent and recurrence of coronary artery lesions.

Identifiers

PMID40593158
PMCPMC12216164

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.