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

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...

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Autores principales: Büttner, Petra, Ueberham, Laura, Shoemaker, M. B., Roden, Dan M., Dinov, Borislav, Hindricks, Gerhard, Bollmann, Andreas, Husser, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964985/
https://www.ncbi.nlm.nih.gov/pubmed/29868113
http://dx.doi.org/10.3389/fgene.2018.00162
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author Büttner, Petra
Ueberham, Laura
Shoemaker, M. B.
Roden, Dan M.
Dinov, Borislav
Hindricks, Gerhard
Bollmann, Andreas
Husser, Daniela
author_facet Büttner, Petra
Ueberham, Laura
Shoemaker, M. B.
Roden, Dan M.
Dinov, Borislav
Hindricks, Gerhard
Bollmann, Andreas
Husser, Daniela
author_sort Büttner, Petra
collection PubMed
description 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 EGFR, RYR2, and PRKCA (calcium signaling) and FN1 and LAMA1 (ECM–receptor interaction) which represent promising targets for further functional characterization or pharmaceutical intervention.
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spelling pubmed-59649852018-06-04 Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation Büttner, Petra Ueberham, Laura Shoemaker, M. B. Roden, Dan M. Dinov, Borislav Hindricks, Gerhard Bollmann, Andreas Husser, Daniela Front Genet Genetics 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 EGFR, RYR2, and PRKCA (calcium signaling) and FN1 and LAMA1 (ECM–receptor interaction) which represent promising targets for further functional characterization or pharmaceutical intervention. Frontiers Media S.A. 2018-05-16 /pmc/articles/PMC5964985/ /pubmed/29868113 http://dx.doi.org/10.3389/fgene.2018.00162 Text en Copyright © 2018 Büttner, Ueberham, Shoemaker, Roden, Dinov, Hindricks, Bollmann and Husser. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Büttner, Petra
Ueberham, Laura
Shoemaker, M. B.
Roden, Dan M.
Dinov, Borislav
Hindricks, Gerhard
Bollmann, Andreas
Husser, Daniela
Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
title Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
title_full Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
title_fullStr Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
title_full_unstemmed Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
title_short Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
title_sort identification of central regulators of calcium signaling and ecm–receptor interaction genetically associated with the progression and recurrence of atrial fibrillation
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964985/
https://www.ncbi.nlm.nih.gov/pubmed/29868113
http://dx.doi.org/10.3389/fgene.2018.00162
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