Evidence map›Paper›PMID 41252360›Full record

SynthesisPloS one2025

Genome- and transcriptome-wide association meta-analysis reveals new insights into genes affecting coronary and peripheral artery disease.

Michael Rode, Maciej Rosolowski, Katrin Horn, Sylvia Henger, Andrej Teren, Kerstin Wirkner, Joachim Thiery, Markus Loeffler, Janne Pott, Holger Kirsten and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Michael RodeInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0003-4880-3294
Maciej RosolowskiInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0003-3204-748X
Katrin HornInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Sylvia HengerInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Andrej TerenLIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.
Kerstin WirknerLIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.
Joachim ThieryLIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.
Markus LoefflerInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Janne PottInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-5983-5331
Holger KirstenInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-3126-7950
Markus ScholzInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-4059-1779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA low ankle-brachial Index (ABI) is an established condition for peripheral artery disease (PAD) and cardiovascular disease risk. The search for genetic determinants of the ankle-brachial index (ABI) is important to better understand molecular patho-cmechanisms of PAD and its commonalities with cardiovascular diseases (CVD), supporting development of new drug targets and tailored preventive or therapeutic measures.

methodsTo search for genetic factors contributing to ankle-brachial index, we integrated genome-wide association meta-analysis and transcriptome-wide association meta-analysis (TWAMA) of two German cohorts, the population-based LIFE-Adult cohort and LIFE-Heart, a cohort of patients with suspected or confirmed coronary artery disease. Pathway analysis of identified genes was used to explore biological mechanisms potentially involved in ABI pathophysiology. Finally, we analysed co-associations of known CAD or carotid plaque associations with ABI to detect possible genetic commonalities.

resultsBy our GWAS meta-analysis, we identified four new gene loci associated with ABI that are also linked with coronary artery diseases (CAD) (6q26: LPA and 11q14.1: DLG2) or cholesterol levels (12q21.31: TMTC2 and Xp21.1: DMD). Furthermore, we replicated a known ABI locus on cytoband 9p21.3 (CDKN2B) and four loci associated with PAD. In our TWAMA, we identified 145 blood transcripts associated with ABI at FDR 5% level. Gene set enrichment analysis of all TWAMA results revealed the inflammation-related pathways interferon gamma response, neutrophil degranulation, and interferon alpha response as the top three upregulated pathways in patients with lower ABI. Among overlapping genes between blood TWAMA and tissue-specific genetically regulated gene-expression association analysis, 24 genes showed consistent effect directions at nominal significance, with lower ABI-associated genes relating to stress response and vascular integrity, while higher ABI-associated genes linked to cellular homeostasis and metabolism.

conclusionsIn our integrated genome- and transcriptome-wide meta-analysis, we identified novel and confirmed known candidate genes and pathways associated with ABI. Association signals partly overlap with those of other cardiovascular traits such as CAD and carotid plaque formation. The integration of gene-expression data, validated known and added new molecular insight how inflammatory signalling can contribute to atherosclerosis and vascular dysfunction. These findings pave the way for improved understanding of the molecular underpinnings of PAD and inform future strategies for targeted prevention and therapy.

Indexed as

Coronary Artery DiseaseGenome-Wide Association StudyPeripheral Arterial DiseaseTranscriptomeAgedAnkle Brachial IndexFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID41252360
PMCPMC12626291

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.