Association between gene variants and the recurrence of atrial fibrillation

Jiang, Tao; Wang, Yanan; Qu, Qiang; Qi, Tingting; Chen, Yundai; Qu, Jian

doi:10.1097/md.0000000000015953

Cited by 6 publications

(4 citation statements)

References 42 publications

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“…Choi et al [27] found no correlation between SNP rs2106261 and postoperative recurrence in patients with atrial fibrillation in a study of 1068 patients with atrial fibrillation undergoing radiofrequency ablation in a Korean population. A meta-analysis by Jiang et al [43] reached the same conclusion.…”

Section: Zfhx3 Snp Rs2106261mentioning

confidence: 62%

Gene Polymorphism and Recurrent Atrial Fibrillation after Catheter Ablation: A Comprehensive Review

Wang¹,

Xue²,

Shi³

et al. 2023

Rev. Cardiovasc. Med.

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Atrial fibrillation (AF) is one of the most common cardiac arrhythmias, but its pathogenesis is still poorly understood. Catheter ablation is one of the most effective treatments for AF, but recurrence after ablation remains a challenge. There has been much research into the association of AF recurrence with several factors, including genetics. Over the past decade or so, significant advances have been made in the genetic architecture of atrial fibrillation. Genome-wide association studies (GWAS) have identified over 100 loci for genetic variants associated with atrial fibrillation. However, there is relatively little information on the systematic assessment of the genes related to AF recurrence after ablation. In this review article, we highlight the value of genetic polymorphisms in atrial fibrillation recurrence after catheter ablation and their potential mechanisms in the recurrence process to enhance our understanding of atrial fibrillation recurrence and contribute to individualized treatment strategies for patients with AF.

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Section: Zfhx3 Snp Rs2106261mentioning

confidence: 62%

Gene Polymorphism and Recurrent Atrial Fibrillation after Catheter Ablation: A Comprehensive Review

Wang¹,

Xue²,

Shi³

et al. 2023

Rev. Cardiovasc. Med.

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“…Zhai et al performed a meta-analysis of 10 case-control comparisons about rs7193343 polymorphism and found this polymorphism may be associated with risk of AF in the Caucasian population but not in the Asian population [ 44 ]. In addition, Jiang et al also focused the polymorphisms for AF susceptibility through meta-analysis, and two polymorphisms in the ZFHX3 gene were analyzed (three studies about rs7193343 and only two studies about rs2106261), and no association was observed [ 45 ]. After that, other studies related to ZFHX3 gene rs2106261 polymorphism have been reported; moreover, another gene polymorphism (PRRX1 rs3903239) has been reported.…”

Section: Discussionmentioning

confidence: 99%

Association between ZFHX3 and PRRX1 Polymorphisms and Atrial Fibrillation Susceptibility from Meta-Analysis

Chu

Zhuang

2021

International Journal of Hypertension

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Background. Atrial fibrillation (AF) is a common, sustained cardiac arrhythmia. Recent studies have reported an association between ZFHX3/PRRX1 polymorphisms and AF. In this study, a meta-analysis was conducted to confirm these associations. Objective and Methods. The PubMed, Embase, and Wanfang databases were searched, covering all publications before July 20, 2020. Results. Overall, seven articles including 3,674 cases and 8,990 healthy controls for ZFHX3 rs2106261 and 1045 cases and 1407 controls for PRRX1 rs3903239 were included. The odds ratio (OR) (95% confidence interval (CI)) was used to assess the associations. Publication bias was calculated using Egger’s and Begg’s tests. We found that the ZFHX3 rs2106261 polymorphism increased AF risk in Asians (for example, allelic contrast: OR [95% CI]: 1.39 [1.31–1.47], P < 0.001 ). Similarly, strong associations were detected through stratified analysis using source of control and genotype methods (for example, allelic contrast: OR [95% CI]: 1.51 [1.38–1.64], P < 0.001 for HB; OR [95% CI]: 1.31 [1.21–1.41], P < 0.001 for PB; OR [95% CI]: 1.55 [1.33–1.80], P < 0.001 for TaqMan; and OR [95% CI]: 1.31 [1.21–1.41], P < 0.001 for high-resolution melt). In contrast, an inverse relationship was observed between the PRRX1 rs3903239 polymorphism and AF risk (C-allele vs. T-allele: OR [95% CI]: 0.83 [0.77–0.99], P = 0.036 ; CT vs. TT: OR [95% CI]: 0.79 [0.67–0.94], P = 0.006 ). No obvious evidence of publication bias was observed. Conclusions. In summary, our study suggests that the ZFHX3 rs2106261 and PRRX1 rs3903239 polymorphisms are associated with AF risk, and larger case-controls must be carried out to confirm the abovementioned conclusions.

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“…Studies revealed contentious ndings on the impact of common genetic variants on the recurrence of atrial brillation (AF) [8][9][10][11][12][13]. A recent meta-analysis found that rs2200733 and rs10033464 on chromosome 4Q25 (near PITX2) were associated with the risk of AF recurrence [14]. Zhang et al investigated the possibility that the aldosterone synthetase (CYP11B2) gene − 344T/C polymorphism and the angiotensin converting enzyme (ACE) gene insertion/deletion (I/D) could affect the risk and recurrence of isolated atrial brillation (AF).…”

Section: Introductionmentioning

confidence: 99%

A bioinformatic methodology to investigating possible genes linked to the recurrence of atrial fibrillation

Sun

Nie

et al. 2022

Preprint

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Among arrhythmias, atrial fibrillation is one of the most prevalent. The most popular procedure for treating atrial fibrillation is now surgery. The prognosis is significantly impacted by postoperative atrial fibrillation recurrence, regardless of whether it is treated with maze or radiofrequency ablation. Genes are linked to the onset, progression of AF, as well as to individual variability in recurrence. Through bioinformatics analysis of open data sets, we sought to uncover probable important genes associated with AF recurrence in the current study. Differentially expressed genes (DEGs) were found using the GSE176166 microarray data set that was downloaded from the Gene Expression Omnibus (GEO) database. Based on the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Disease Ontology (DO) resources, functional enrichment studies were conducted. Using the STRING database, a protein-protein interaction (PPI) network was created. Possible essential genes were then chosen using the important bioinformatics data given before. The association of possible key genes with AF recurrence (AFR) was investigated using the comparative toxicogenomics database (CTD). In comparison to controls with sinus rhythm, we discovered 27 DEGs with |log2 FC|≥1 and 7 with |log2 FC|≥3.5 fold changes in gene expression in AFR patients. The probable bringing great were TNNC1, GABARAPL1, GNAS, PHLPP1, ELL2, SNORD108 and miR-548v. With AF, CTD revealed that TNNC1, GABARAPL1, GNAS,PHLPP1, and ELL2 had increased scores. The 4 possible risk factors for AFR, TNNC1, GABARAPL1, GNAS and PHLPP1 may be connected. Our research revealed novel genetic, molecular etiology, and treatment targets of AFR.

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Association between gene variants and the recurrence of atrial fibrillation

Cited by 6 publications

References 42 publications

Gene Polymorphism and Recurrent Atrial Fibrillation after Catheter Ablation: A Comprehensive Review

Gene Polymorphism and Recurrent Atrial Fibrillation after Catheter Ablation: A Comprehensive Review

Association between ZFHX3 and PRRX1 Polymorphisms and Atrial Fibrillation Susceptibility from Meta-Analysis

A bioinformatic methodology to investigating possible genes linked to the recurrence of atrial fibrillation

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