Evidence map›Paper›PMID 41928601›Full record

ArticleJournal of diabetes investigation2026

Polygenic risk score refines cardiovascular disease risk in individuals with type 2 diabetes at borderline or intermediate risk.

Jaewon Choi, Hyunsuk Lee, Tae-Min Rhee, Jun-Bean Park, Soo Heon Kwak

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
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

5 authors.

Jaewon ChoiDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3735-625X
Hyunsuk LeeDepartment of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Tae-Min RheeDepartment of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.
Jun-Bean ParkDepartment of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Soo Heon KwakDepartment of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.

Funding

Development of Polygenic Risk Scores for Diabetes and Complications across the Life-Span in Populations of Multiple AncestriesU01HG011723 · NHGRI · BROAD INSTITUTE, INC. · PI Alisa Knodle Manning, Josep Maria Mercader · 2021 to 2026
$5.7M
Korean Ministry of Food and Drug Safety 23212MFDS202Korean Ministry of Health & Welfare RS-2025-25462804Korean Ministry of Science and ICT RS-2023-00262002NHGRI NIH HHS U01HG011723
6 · The paper itself

Abstract

To evaluate whether a coronary artery disease (CAD) polygenic risk score (PRS) can improve atherosclerotic cardiovascular disease (ASCVD) risk stratification in individuals with type 2 diabetes (T2D), particularly those at borderline or intermediate 10-year risk. In the UK Biobank (n = 340,299), we integrated CAD PRS into the Pooled Cohort Equations (PCE) to evaluate whether it improved the prediction of incident ASCVD in individuals with T2D at borderline and intermediate 10-year risk. CAD PRS was associated with ASCVD in T2D (1.18-fold). Among those at borderline and intermediate risk, PRS was strongly predictive (1.47-fold and 1.11-fold), and individuals in the top 10% had 1.86-fold and 1.32-fold higher risk. Integration of PRS into PCE modestly improved AUROC (0.050, P = 0.024) and significantly improved net reclassification (0.343, P = 2.62 × 10

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseDiabetes Mellitus, Type 2Genetic Risk ScoreAgedFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPrognosisRisk AssessmentUK BiobankDiabetes mellitusEpidemiologyGenetic predisposition to disease

Identifiers

PMID41928601
PMCPMC13238753

What OpenQuestion holds

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LicenceCC BY-NC
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 OpenQuestion graph.