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Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)

BACKGROUND: Atrial fibrillation (AF) is a major cause of morbidity with a high prevalence among the elderly and has an established genetic disposition. Surgery is a well-known risk factor for AF; however, it is currently not recognized how much common genetic variants influence the postoperative ris...

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Autores principales: Christensen, Mathias A., Bonde, Alexander, Sillesen, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315824/
https://www.ncbi.nlm.nih.gov/pubmed/37404734
http://dx.doi.org/10.3389/fcvm.2023.1040757
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author Christensen, Mathias A.
Bonde, Alexander
Sillesen, Martin
author_facet Christensen, Mathias A.
Bonde, Alexander
Sillesen, Martin
author_sort Christensen, Mathias A.
collection PubMed
description BACKGROUND: Atrial fibrillation (AF) is a major cause of morbidity with a high prevalence among the elderly and has an established genetic disposition. Surgery is a well-known risk factor for AF; however, it is currently not recognized how much common genetic variants influence the postoperative risk. The purpose of this study was to identify Single Nucleotide Polymorphisms associated with postoperative AF. METHODS: The UK Biobank was utilized to conduct a Genome-Wide Association Study (GWAS) to identify variants associated with AF after surgery. An initial discovery GWAS was performed in patients that had undergone surgery with subsequent replication in a unique non-surgical cohort. In the surgical cohort, cases were defined as newly diagnosed AF within 30 days after surgery. The threshold for significance was set at 5 × 10(−8). RESULTS: After quality control, 144,196 surgical patients with 254,068 SNPs were left for analysis. Two variants (rs17042171 (p = 4.86 × 10(−15)) and rs17042081 (p = 7.12 × 10(−15))) near the PITX2-gene reached statistical significance. These variants were replicated in the non-surgical cohort (1.39 × 10(−101) and 1.27 × 10(−93), respectively). Several other loci were significantly associated with AF in the non-surgical cohort. CONCLUSION: In this GWAS-analysis of a large national biobank, we identified 2 variants that were significantly associated with postoperative AF. These variants were subsequently replicated in a unique non-surgical cohort. These findings bring new insight in the genetics of postoperative AF and may help identify at-risk patients and guide management.
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spelling pubmed-103158242023-07-04 Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS) Christensen, Mathias A. Bonde, Alexander Sillesen, Martin Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Atrial fibrillation (AF) is a major cause of morbidity with a high prevalence among the elderly and has an established genetic disposition. Surgery is a well-known risk factor for AF; however, it is currently not recognized how much common genetic variants influence the postoperative risk. The purpose of this study was to identify Single Nucleotide Polymorphisms associated with postoperative AF. METHODS: The UK Biobank was utilized to conduct a Genome-Wide Association Study (GWAS) to identify variants associated with AF after surgery. An initial discovery GWAS was performed in patients that had undergone surgery with subsequent replication in a unique non-surgical cohort. In the surgical cohort, cases were defined as newly diagnosed AF within 30 days after surgery. The threshold for significance was set at 5 × 10(−8). RESULTS: After quality control, 144,196 surgical patients with 254,068 SNPs were left for analysis. Two variants (rs17042171 (p = 4.86 × 10(−15)) and rs17042081 (p = 7.12 × 10(−15))) near the PITX2-gene reached statistical significance. These variants were replicated in the non-surgical cohort (1.39 × 10(−101) and 1.27 × 10(−93), respectively). Several other loci were significantly associated with AF in the non-surgical cohort. CONCLUSION: In this GWAS-analysis of a large national biobank, we identified 2 variants that were significantly associated with postoperative AF. These variants were subsequently replicated in a unique non-surgical cohort. These findings bring new insight in the genetics of postoperative AF and may help identify at-risk patients and guide management. Frontiers Media S.A. 2023-06-19 /pmc/articles/PMC10315824/ /pubmed/37404734 http://dx.doi.org/10.3389/fcvm.2023.1040757 Text en © 2023 Christensen, Bonde and Sillesen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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 Cardiovascular Medicine
Christensen, Mathias A.
Bonde, Alexander
Sillesen, Martin
Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
title Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
title_full Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
title_fullStr Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
title_full_unstemmed Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
title_short Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
title_sort genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (gwas)
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315824/
https://www.ncbi.nlm.nih.gov/pubmed/37404734
http://dx.doi.org/10.3389/fcvm.2023.1040757
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