Evidence map›Paper›PMID 42403454›Full record

ArticleAmerican journal of preventive cardiology2026

Use of a polygenic risk score to enhance early detection of coronary atherosclerosis.

Milena Petranović, Yi-Pin Lai, Daniel Huck, Arthur Shiyovich, Stephanie A Besser, Camila V Blair, Adam N Berman, Avinainder Singh, Brittany Weber, Akl C Fahed and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

23 authors.

Milena PetranovićDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Yi-Pin LaiTIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Daniel HuckDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Arthur ShiyovichDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Stephanie A BesserDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Camila V BlairDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Adam N BermanLeon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
Avinainder SinghDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brittany WeberDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Akl C FahedCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Joanne MiaoDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jon HainerDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Frederick K KamanuTIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Giorgio E M MelloniTIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rhanderson CardosoDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Sandeep HedgireDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Brian GhoshhajraDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Marcelo Di CarliDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Marc S SabatineTIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rajat M GuptaDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Christian T RuffTIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ron BlanksteinDepartment of Radiology, Massachusetts General Brigham, Harvard Medical School, Boston, MA, USA.
Nicholas A MarstonTIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary CT angiography (CCTA) enables early noninvasive detection of coronary atherosclerosis, but its use in younger adults is limited by low pretest probability. Coronary artery disease polygenic risk score (CAD-PRS) may help identify individuals with increased likelihood of coronary plaque. Methods: We conducted a retrospective cohort study of patients without prior coronary artery disease who underwent CCTA between 2004 and 2021 and were genotyped through the Mass General Brigham Biobank ( Results: Plaque was present in 65.6% of participants, extensive plaque in 32.2%, and obstructive disease in 24.6%. Compared with the low-PRS group, high CAD-PRS was associated with greater risk of any plaque (RR 1.68, 95% CI 1.48-1.92), extensive plaque (RR 2.62, 95% CI 1.94-3.54), and obstructive disease (RR 2.82, 95% CI 1.87-4.27) (all Conclusions: High CAD-PRS was independently associated with greater presence, extent, and severity of CAD on CCTA. The impact of genetic risk was strongest in younger adults-a group for whom identifying early atherosclerotic plaque may have the greatest impact.

Indexed as

Coronary artery diseaseCoronary CT angiographyGenetic risk stratificationPolygenic risk score

Identifiers

PMID42403454
PMCPMC13329504

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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.