Evidence map›Paper›PMID 29868113›Full record

ArticleFrontiers in genetics2018

Identification of Central Regulators of Calcium Signaling and ECM-Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation.

Petra Büttner, Laura Ueberham, M B Shoemaker, Dan M Roden, Borislav Dinov, Gerhard Hindricks, Andreas Bollmann, Daniela Husser

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Sphingomyelin as a key negative mediator in atrial fibrillation via lipid profiling analysis and functional identification.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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  6. Current genomics · 2025
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  16. Protein Subdomain Enrichment ofFrontiers in cardiovascular medicine · 2020
    Article
  17. Article
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

8 authors at 3 institutions in 2 countries.

Petra BüttnerDepartment of Electrophysiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
Laura UeberhamDepartment of Electrophysiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
M B ShoemakerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
Dan M RodenDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
Borislav DinovDepartment of Electrophysiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
Gerhard HindricksDepartment of Electrophysiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
Andreas BollmannDepartment of Electrophysiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
Daniela HusserDepartment of Electrophysiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
Leipzig Heart Institute · DELeipzig University · DEVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is a multifactorial disease with a strong genetic background. It is assumed that common and rare genetic variants contribute to the progression and recurrence of AF. The pathophysiological impact of those variants, especially when they are synonymous or non-coding, is often elusive and translation into functional experiments is difficult. In this study, we propose a method to go straight from genetic variants to defined gene targets. We focused on 55 genes from calcium signaling and 26 genes from extra cellular matrix ECM-receptor interaction that we found to be associated with the progression and recurrence of AF. These genes were mapped on protein-protein interaction data from three different databases. Based on the concept that central regulators are highly connected with their neighbors, we identified central hub proteins according to random walk analysis derived scores representing interaction grade. Our approach resulted in the identification of

Indexed as

atrial fibrillationatrial fibrillation progressionatrial fibrillation recurrencecalcium signalingECM–receptor interactiongenetic variantsprotein–protein interactions

Identifiers

PMID29868113
PMCPMC5964985
OpenAlexW2802430991

What OpenQuestion holds

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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 OpenQuestion graph.