Evidence map›Paper›PMID 41855749›Full record

ArticleJACC. Advances2026

Unbiased Discovery of Genetic Determinants of Resilience to CAD: Insights From PROMISE and CATHGEN.

Ilya Zhbannikov, Geoffrey S Ginsburg, Maros Ferencik, Borek Foldyna, Kelly V Ruggles, William E Kraus, Neha Pagidipati, Michael T Lu, Svati Shah, Pamela S Douglas and 2 more

Abstract read
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Article in JACC. Advances, 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

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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. 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

12 authors.

Ilya ZhbannikovDuke University Clinical Research Institute, Durham, North Carolina, USA.
Geoffrey S GinsburgAll of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
Maros FerencikKnight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon, USA.
Borek FoldynaDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Kelly V RugglesDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
William E KrausDuke University Clinical Research Institute, Durham, North Carolina, USA.
Neha PagidipatiDuke University Clinical Research Institute, Durham, North Carolina, USA.
Michael T LuCardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Svati ShahDuke University Clinical Research Institute, Durham, North Carolina, USA.
Pamela S DouglasDuke University Clinical Research Institute, Durham, North Carolina, USA.
Deepak VooraDuke University Clinical Research Institute, Durham, North Carolina, USA.
Jonathan D NewmanDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, USA. Electronic address: Jonathan.Newman@nyumc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic determinants of resilience remain poorly defined beyond family studies.

objectivesThe purpose of this study was to perform an unbiased study of individuals with discordance between clinical/genetic risk and atherosclerotic burden to discover novel genetic pathways underpinning atherosclerosis.

methodsWe used 2 genotyped cohorts with well-defined coronary anatomy: PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) (discovery cohort: coronary computed tomography angiography) and CATHGEN (CATHeterization GENetics) (validation cohort: invasive angiography). Resilience was defined as high clinical and polygenic risk of coronary artery disease (CAD), yet without coronary plaque. Resilient individuals were compared to patients with obstructive CAD (oCAD) (stenosis ≥70%) using genome-wide association analyses at variant, gene, and pathway levels.

resultsIn PROMISE (n = 605), 46 (8%) were resilient and 88 (15%) had oCAD. In CATHGEN (n = 3,236), 127 (4%) were resilient and 1,852 (57%) had oCAD. Clinical risk factors and polygenic risk scores were similar between resilient and oCAD patients in both cohorts. Variant- and gene-level analyses did not yield genome-wide significant signals. Pathway-level analyses identified 4 resilience-associated pathways in PROMISE that replicated in CATHGEN: adipocytokine signaling, fatty acid metabolism, fatty acid degradation, and vascular smooth muscle contraction.

conclusionsResilience to CAD-defined as the absence of coronary atherosclerosis despite high clinical and polygenic risk-is present in both lower- (PROMISE) and higher-risk (CATHGEN) cohorts and is linked to protective variants in metabolic and vascular pathways. This unbiased, proof-of-concept approach reveals biologically plausible targets for replication and mechanistic studies in larger imaging-based genetics cohorts.

Indexed as

atherosclerosiscoronary artery diseasegenetic pathwaysgenome-wide association studymetabolic and vascular pathwayspolygenic risk scoreresilience

Identifiers

PMID41855749
PMCPMC13010395

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