Evidence map›Paper›PMID 41807385›Full record

ArticleNature communications2026

Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci.

Dennis Hecker, Xiaoning Song, Nina Baumgarten, Anastasiia Diagel, Nikoletta Katsaouni, Ling Li, Shuangyue Li, Ranjan Kumar Maji, Fatemeh Behjati Ardakani, Lijiang Ma and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Dennis Hecker *Department of Medicine, Institute for Computational Genomic Medicine, Goethe University Frankfurt, Frankfurt, Germany.ORCID http://orcid.org/0000-0003-0272-243X
Xiaoning Song *Department of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0009-0007-3816-7788
Nina Baumgarten *Department of Medicine, Institute for Computational Genomic Medicine, Goethe University Frankfurt, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-5423-8634
Anastasiia Diagel *Department of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0009-0001-4512-9874
Nikoletta KatsaouniDepartment of Medicine, Institute for Computational Genomic Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Ling LiDepartment of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-3280-9475
Shuangyue LiDepartment of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Ranjan Kumar MajiDepartment of Medicine, Institute for Computational Genomic Medicine, Goethe University Frankfurt, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-9559-1661
Fatemeh Behjati ArdakaniDepartment of Medicine, Institute for Computational Genomic Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Lijiang MaDepartment of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, USA.
Zhaolong LiDZHK, partner site Munich Heart Alliance (MHA), Munich, Germany.
Aldo MoggioDepartment of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Daniel TewsGerman Center for Child and Adolescent Health (DZKJ), Partner Site, Ulm, Germany.ORCID http://orcid.org/0000-0003-3300-3446
Hendrik SagerDepartment of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Lars MaegdefesselDZHK, partner site Munich Heart Alliance (MHA), Munich, Germany.ORCID http://orcid.org/0000-0001-5228-2634
Martin WabitschGerman Center for Child and Adolescent Health (DZKJ), Partner Site, Ulm, Germany.ORCID http://orcid.org/0000-0001-6795-8430
Johan L M BjörkegrenDepartment of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, USA.
Heribert SchunkertDepartment of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-6428-3001
Zhifen ChenDepartment of Cardiology, TUM University Hospital German Heart Center, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. zhifen.chen@tum.de.
Marcel H SchulzDepartment of Medicine, Institute for Computational Genomic Medicine, Goethe University Frankfurt, Frankfurt, Germany. marcel.schulz@em.uni-frankfurt.de.ORCID http://orcid.org/0000-0002-1252-3656

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Deutsche Forschungsgemeinschaft (German Research Foundation) 403584255Deutsche Forschungsgemeinschaft (German Research Foundation) 456687919Deutsche Forschungsgemeinschaft (German Research Foundation) 510049865NCATS NIH HHS UL1 TR004419
6 · The paper itself

Abstract

Coronary artery disease is the leading cause of death worldwide. Recently, hundreds of genomic loci have been shown to increase risk for the disease, however, the molecular mechanisms underlying signals from risk loci remain largely unclear. Here, we integrate the latest statistics of coronary artery disease genetics from over one million individuals with epigenetic data from 45 cell types to identify genes and transcription factors whose regulation is affected by variants. Applying two statistical approaches, we identify 1580 candidate disease genes, including 23.5% non-coding RNA genes. Enrichment analysis and phenome-wide association studies link the candidate genes to disease-specific pathways and risk factors. We conduct a proof-of-concept biological validation for the non-coding RNA gene IQCH-AS1 via knockout in a human preadipocyte strain. Our study not only pinpoints CAD candidate genes in a cell type-specific manner but also highlights the roles of an understudied ncRNA gene in CAD genetics.

Indexed as

Coronary Artery DiseaseEpigenesis, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansRNA, UntranslatedTranscription FactorsRNA, UntranslatedTranscription Factors

Identifiers

PMID41807385
PMCPMC12979833

What Socratic holds

Textmetadata
LicenceCC BY
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.