Evidence map›Paper›PMID 42403468›Full record

ArticleAmerican journal of preventive cardiology2026

Genetic and clinical risk factors for recurrent events among patients with coronary artery disease.

Jennifer L Halford, Satoshi Koyama, Yang Sui, So Mi Jemma Cho, Tiffany R Bellomo, Anika Misra, Aniruddh P Patel, Whitney Hornsby, Akl C Fahed, Pradeep Natarajan

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.

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

10 authors.

Jennifer L HalfordProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Satoshi KoyamaProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Yang SuiProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
So Mi Jemma ChoProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Tiffany R BellomoProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Anika MisraProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Aniruddh P PatelProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Whitney HornsbyProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Akl C FahedProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Pradeep NatarajanProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Funding

Integration of novel contextual and genomic blood pressure measures to enhance cardiovascular disease prediction and management in young adultsK99HL177340 · BROAD INSTITUTE, INC. · 2025 to 2025
$165k
NHLBI NIH HHS K99 HL177340
6 · The paper itself

Abstract

Background: Among individuals with coronary artery disease (CAD), clinical risk factors are used to identify individuals warranting treatment intensification and enrich events in clinical trials. The extent to which genetic factors can augment this framework is not well understood. Methods: We deeply phenotyped sequenced participants with recurrent CAD within the Mass General Brigham Biobank and characterized their genetic risk by CAD polygenic risk score (PRS). We used multivariate logistic regression modeling to assess the association between genetic and clinical risk factors with recurrent events and evaluated cumulative incidence across a range of risk factors. Lastly, we conducted genome-wide association testing of recurrent CAD and effect size heterogeneity testing for lead variants for CAD susceptibility. Results: Among 7105 participants with prevalent CAD, 2574 (36%) developed recurrent events over a median follow-up of 15 [10-20] years. A CAD PRS was associated with increased risk of recurrent CAD (OR 1.25 per SD; 95% CI 1.19-1.31; Conclusions: High genetic susceptibility to CAD is a risk factor for disease recurrence independent of conventional clinical risk factors and may serve as a tool to augment secondary prevention guidelines.

Indexed as

Coronary artery diseaseGenome-wide association testingPolygenic risk scoreSecondary prevention

Identifiers

PMID42403468
PMCPMC13329543

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.