Evidence map›Paper›PMID 41560081›Full record

ArticleMedicine2026

Association of programmed cell death with atrial fibrillation risk: A multi-omics Mendelian randomization study.

Kesen Liu, Xuefu Han, Yanbo Chen

Abstract read
In one paragraph

Article in Medicine, 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

3 authors.

Kesen LiuDepartment of Arrhythmia, The First Affiliated Hospital of Shandong Second Medical University (Weifang People's Hospital), Weifang, Shandong Province, China.ORCID 0000-0002-7820-8122
Xuefu Han

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between programmed cell death (PCD) and atrial fibrillation (AF), as well as the underlying genetic mechanisms, remains unclear. This study aimed to evaluate the causal relationships between PCD-related genes and AF using a multi-omics approach, involving Mendelian randomization (MR) and colocalization analyses. Genome-wide association studies summary statistics regarding PCD-related gene methylation, gene expression, and protein abundance were acquired from relevant studies, and 1073 PCD-related genes were analyzed. The reliability of the MR estimates was evaluated through colocalization analysis complemented by Steiger directionality test. At the methylation level, 568 cytosine-phosphate-guanine sites were mapped to 260 PCD-related genes with significant causal associations with AF. Notably, 333 genes were associated with AF risk at the expression level, and 95 plasma proteins were causally related to AF. By integrating evidence from multi-omics, we identified 8 tier 1 genes with strong multi-omics evidence. Furthermore, 3 and 27 genes were identified as AF tier 2 and 3 genes, respectively. This study provides compelling evidence of the involvement of PCD in the pathogenesis of AF, thereby advancing our understanding of the mechanism underlying AF. The identification of PCD-related genes linked to AF highlights their potential as diagnostic and therapeutic targets.

Indexed as

ApoptosisAtrial FibrillationMendelian Randomization AnalysisDNA MethylationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultiomicsatrial fibrillationcolocalization analysisMendelian randomizationmulti-omicsprogrammed cell death

Identifiers

PMID41560081
PMCPMC12826147

What Socratic holds

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LicenceCC BY-NC
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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.