| Title: | Genetic risk factors for postoperative atrial fibrillation - a nationwide genome-wide association study (GWAS) |
| Journal: | Frontiers in Cardiovascular Medicine |
| Published: | 19 Jun 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37404734/ |
| DOI: | https://doi.org/10.3389/fcvm.2023.1040757 |
| URL: | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1040757/pdf |
| Citations: | 2 (2 in last 2 years) as of 8 Aug 2024 |
Publication 11571
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Abstract
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.</p>
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.</p>
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.</p>
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.</p>
3 Authors
- Mathias A. Christensen
- Alexander Bonde
- Martin Sillesen
1 Application
| Application ID | Title |
|---|---|
| 60861 | Towards personalised medicine in surgery - the role of genomics in regulating postoperative complications. |
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