Skip to main content
Journal of Atrial Fibrillation logoLink to Journal of Atrial Fibrillation
. 2018 Apr 30;10(6):1666. doi: 10.4022/jafib.1666

A Chromosome 4q25 Variant is Associated with Atrial Fibrillation Recurrence After Catheter Ablation: A Systematic Review and Meta-Analysis

Pattara Rattanawong 1,,2,*, Jirat Chenbhanich 3,*, Wasawat Vutthikraivit 4,*, Pakawat Chongsathidkiet 5,*
PMCID: PMC6009792  PMID: 29988284

Abstract

Background:

Recent studies suggested that variants on chromosome loci 4q25, 1q21, and 16q22 were associated with atrial fibrillation recurrence after catheter ablation. In this study, we performed a systematic review and meta-analysis to explore the association between variants on chromosome loci 4q25, 1q21, and 16q22 and atrial fibrillation recurrence after catheter ablation

Methods:

We comprehensively searched the databases of MEDLINE and EMBASE from inception to January 2017. Included studies were published prospective or retrospective cohort and case control studies that compared the risk of atrial fibrillation recurrence after catheter ablation in AF patients with chromosome 4q25, 1q21, and 16q22 variants versus no variants. Single-nucleotide polymorphism rs1906617, rs2106261, rs7193343, rs2200733, rs10033464, rs13376333, and rs6843082 were included in this analysis. Data from each study were combined using the random-effects, generic inverse variance method of DerSimonian and Laird to calculate the risk ratios and 95% confidence intervals

Results:

Seven studies from January 2010 to June 2017 involving 3,322 atrial fibrillation patients were included in this meta-analysis. According to the pooled analysis, there was a strong independent association between chromosome 4q25 variant (rs2200733) and the risk of atrial fibrillation recurrence after catheter ablation (risk ratio 1.45 [95% confidence interval 1.15-1.83], P = 0.002). No association was found in other variants

Conclusion:

Our meta-analysis demonstrates a statistically significant increased risk of atrial fibrillation recurrence after catheter ablation in 4q25 variant (only in rs2200733) but not in 1q21 or 16q22 variants.

Keywords: Atrial Fibrillation, Catheter Ablation, Chromosome 4q25

Introduction

Atrial fibrillation (AF) is the most common cardiac arrhythmia treated in clinical practice and affects 10% of the population by 80 years of age. It increases risks of stroke, heart failure, and all-cause mortality[1]. The cornerstones of management include stroke prevention, ventricular rate control, and symptomatic relieve. Catheter ablation is another method to restore and maintain sinus rhythm used widely in selected patients with medically refractory AF. Its efficacy and safety have improved during the last decade, and clinical trials have reported fewer episodes and symptoms after the procedure[2]. Unfortunately, recurrence of AF after catheter ablation is common, ranging from 20% to 60%, and results in repeat of the procedure or re-initiation of antiarrhythmic drugs[2,3].

This variable treatment response, among other clinical heterogeneities, has led physicians explore the molecular basis of AF that may optimize the treatment efficacy and safety. Since Gudbjartsson et al. used genome-wide association study (GWAS) to identify 2 risk variants on chromosome 4q25 (rs2200733 and rs10033464) in 2007, multiple single-nucleotide polymorphisms (SNPs) have been shown to be associated with occurrence of AF[4]. Among these discoveries, the SNPs on chromosome loci 4q25, 1q21, and 16q22 have been replicated in many studies[4-8] and recently demonstrated their potential relations to the AF recurrence after catheter ablation[9-13]. We systematically reviewed current evidence on the association, as well as its significance and characteristics, between common variants on 4q25, 1q21, and 16q22 and AF recurrence after catheter ablation.

Methods

Search Strategy

Two investigators (JC and WV) independently searched for published studies indexed in MEDLINE and EMBASE databases from inception to January 2017 using a search strategy that included the terms for “atrial fibrillation”, “ablation”, “recurrence”, “4q25”, “1q21”, and “16q22”. Only English language publications were included. A manual search for additional pertinent studies and review articles using references from retrieved articles was also completed.

Inclusion Criteria

The eligibility criteria included the following: (1) Cohort study (prospective or retrospective) reporting incident of recurrent AF in AF patient after catheter ablation with and without variants on chromosome loci 4q25, 1q21, or 16q22 (2) Relative risk, hazard ratio, odds ratio, incidence ratio, or standardized incidence ratio with 95% confidence intervals or sufficient raw data for the calculation were provided (3) AF participants without 4q25, 1q21, or 16q22 variants were used as controls

Study eligibility was independently determined by two investigators (PR and PC) and differences were resolved by mutual consensus. Newcastle-Ottawa quality assessment scale was used to evaluate each study in three domains: recruitment and selection of the participants, similarity and comparability between the groups, and ascertainment of the outcome of interest among cohort studies[14].

Data Extraction

A standardized data collection form was used to obtain the following information from each study: title of study, name of first author, year of publication, country of origin, number of participants, demographic data, ablation techniques, outcomes of interest (variants and AF recurrence), and average duration of follow-up. To ascertain the accuracy, all investigators independently performed this data extractionprocess. Any data discrepancy was resolved by referring back to the original articles.

Statistical Analysis

We performed a meta-analysis of the included cohort studies using a random-effects model. The extracted studies were excluded from the analysis if they did not present an outcome in each intervention group or did not have enough information required for continuous data comparison. We pooled the point estimates from each study using the generic inverse-variance method of Der Simonian and Laird[15]. The heterogeneity of effect size estimates across these studies was quantified using the I2 statistic and Q statistic. For the Q statistic, substantial heterogeneity was defined as p<0.10. The I2 statistic ranges in value from 0 to 100% (I2<25%, low heterogeneity; I2=25%–50%, moderate heterogeneity; and I2>50%, substantial heterogeneity)[16]. A sensitivity analysis was performed to assess the influence of the individual studies on the overall results by omitting one study at a time. Publication bias was assessed using funnel plot and Egger’s regression test[17] (p<0.05 was considered significant). All data analyses were performed using the Stata SE 14.1 software from StataCorp LP.

Results

Description of Included Studies

Our search strategy yielded 21 potentially relevant articles (11 articles from EMBASE and 10 articles from MEDLINE). After exclusion of 9 duplicated articles, 12 articles underwent title and abstract review. Five articles were excluded at this stage since they were not cohort studies, did not report the outcome of interest (AF recurrence) or were not conducted in patients with AF underwent catheter ablation, leaving 7 articles for full-length article review. Therefore, 6 prospective cohort studies, and 1 case-control studies of 3,322 AF patient underwent catheter ablation were included in this meta-analysis. [Figure 1]outlines the search and literature review process. The clinical characteristics and summary of included studies are described in [Table 1]

Figure 1. Search methodology and selection process.

Figure 1.

Table 1. Characteristics of Included Studies.

* Recurrence is defined as any episode of non-sinus atrial tachyarrhythmia (atrial tachycardia, atrial flutter, or AF) lasting greater than 30 seconds

First author Husser et al. Shoemaker et al. Choi et al. Kiliszek et al. Chen et al. Zhao et al. Miyazaki et al.
Country Germany USA/Germany South Korean Poland China China Japan
Study design Prospective cohort Prospective cohorts from 3 centers Prospective cohort Prospective cohort Prospective cohort Case control Prospective cohort
Year of publication 2010 2015 2015 2016 2016 2017 2017
Study subject German patients who underwent left atrial catheter ablation for drug-refractory paroxysmal or persistent AF Patients underwent de novo AF ablation between 2008 and 2012 at Vanderbilt University, the Heart Center Leipzig, and Massachusetts General Hospital All AF patients underwent radiofrequency catheter ablation from Yonsei AF Ablation Cohort registry Paroxysmal or persistent AF patients at Medical University of Warsaw Drug-refractory Chinese Han AF patients at the First Affiliated Hospital Chinese Han patients admitted to department of cardiology from July 2011 to August 2013 at Shanghai First People's Hospital Japanese patient whom underwent cryoballoon ablation from July 2014 to January 2016 for paroxysmal atrial fibrillation
Exclusion criteria Presence of left atrial thrombus N/A Permanent AF refractory to electrical cardioversion, valvular disease, structural heart disease other than left ventricular hypertrophy, prior AF ablation. Hyperthyroidism, significant mitral valve disease, left atrial dimension over 5.5 cm, severe diseases with life expectancy below 1 year Familial AF, hyperthyroidism, valvular heart disease, cardiomyopathy, left atrial thrombus, other severe diseases with life expectancy below 1 year Familial AF, lone AF, recent MI (6 months or less), cardiac surgery (30 days or less), NYHA class III or IV, thyroid, renal, or lung dysfunction AF due to trauma surgery, or acute medical illness N/A
Number of subjects (%M, mean age±SD) 195 (73%, 56±12) 991 from 3 centers: 245 (71%, 61±9.63); 659 (67%, 60±10.4]); 87 (82%, 57±9.63) 1068 (74.6%, 57.5±10.9) 238 (66.80%, 55±10.4 235 (73.7%, 59.41) 438 (52.12%, 63.75 ± 15.93) 157 (72.6%, 64±10.8)
Paroxysmal AF 78% 58.8% 67.9% N/A 56.7% N/A 100%
Hypertension N/A 72.3% 47.8% 58.4% 38.7% N/A 48.4%
Diabetes N/A N/A 13.0% 7.6% 20.0% N/A N/A3(4%)
Ablation technique Radiofrequency pulmonary vein isolation (with linear ablation in persistent AF) Radiofrequency pulmonary vein isolation (with linear ablation based on operator discretion) Radiofrequency pulmonary vein isolation (with linear ablation based on operator discretion) Radiofrequency pulmonary vein isolation Radiofrequency pulmonary vein isolation (with linear or complex fractionated ablation based on operator discretion) Radiofrequency pulmonary vein isolation (with linear ablation in unsuccessful pulmonary vein isolation) Cryoballoon pulmonary vein isolation
Variants : and SNP(s) investigated for the recurrence risk (and its closest gene) 4q25:rs2200733 (PITX2), rs10033464 (PITX2) 4q25:rs2200733 (PITX2), rs10033464 (PITX2),1q21:rs13376333 (KCNN3), 16q22:rs7193343 (ZFHX3) 4q25:rs6843082 (PITX2), rs2200733 (PITX2), 1q21:rs13376333 (KCNN3)16q22:rs2106261 (ZFHX3) 4q25:rs2200733 (PITX2), rs10033464 (PITX2), rs17570669 (PITX2), rs3853445 (PITX2), rs6838973 (PITX2), 1q21:rs13376333 (KCNN3), 16q22:rs7193343 (ZFHX3) 4q25:rs2200733 (PITX2), 16q22:rs2106261 (ZFHX3) 4q25:rs2200733 (PITX2) 4q25:rs1906617(PITX2)
Endpoints: early recurrence of AF Within 7 days N/A Within the 3-month post-ablation Within the 6-month post-ablation N/A N/A After the 3-month post-ablation blanking period
Endpoints: late recurrence of AF Between 3 and 6 months After the 12 months post-ablation After the 3-month post-ablation After the 6-month post-ablation After the 3-month post-ablation blanking period After the 3-month post-ablation blanking period N/A
Mean follow-up 6 months 12 months 18.3±13.9 months 45 months 12 months N/A [0-48 months] 12 months
Conclusions by authors rs2200733 and rs10033464, modulate are associated with increased rate of AF recurrence after ablation rs2200733, but not rs10033464, rs13376333, or rs7193343, is associated with increased rate of AF recurrence after ablation rs6843082, rs2200733, and rs2106261 were associated with AF rs2200733 is associated with increased rate of AF recurrence after pulmonary vein isolation in short-term (6 months) follow-up. rs2200733 is associated with AF recurrence after ablation, potentially by influencing the size of the RA and superior PVs rs2200733 was associated with AF and was associated with recurrence after ablation rs1906617 was associated with AF and was associated with recurrence after cryoballoon ablation

Quality Assessment of Included Studies

Newcastle–Ottawa scales of the included studies are described in the supplement [Table 1]. The Newcastle-Ottawa scale uses a star system (0 to 9) to evaluate included studies on 3 domains: selection, comparability, and outcomes. Higher scores represent higher study quality. Intra-study risks of bias of included studies are also described in the supplement [Table 2]

Table 2. Newcastle–Ottawa scales of the included studies.

Study Selection Comparability Outcome total
Representativeness Selection of Thenonexposed Cohort Ascertainment End point not present at start Confounding Assesment of Outcome Follow up duration Adequacy follow-up
Husser et al. * * * * ** * * 8
Shoemaker et al. * * * * ** * * * 9
Choi et al. * * * * ** * * * 9
Kiliszek et al. * * * * * * * 7
Chen et al. * * * * ** * * * 9
Zhao et al. * * * * * * * 8
Miyazaki et al. * * * * ** * * 8

Table 3. Intra-study risks of bias of included studies.

Study Clear definition of study population Clear definition of outcomes and assessment Independent assessment of outcomes? (e.g. by third party) Sufficient Follow-up duration? Selective loss during Follow-up? Limitations identified?
Husser et al. yes yes no no no yes
Shoemaker et al. yes yes no yes no yes
Choi et al. yes yes no yes no yes
Kiliszek et al. no yes no yes no yes
Chen et al. yes yes no yes no yes
Zhao et al. no yes no yes no yes
Miyazaki et al. yes no no yes no yes

Meta-analysis Results

There were 7 studies from January 2010 to June 2017 involving 3,322 atrial fibrillation patients were included in this meta-analysis. Seven SNPs among 4q25, 1q21, or 16q22 variants were reported in previous AF ablation studies. Four SNPs including rs2200733, rs10033464, rs6843082, and rs1906617 were reported in 4q25 variants. One SNPs, rs13376333, was reported in 1q21 variants. Two SNPs including rs2106261and rs2106261 were reported in 16q22 variants

4q25 Variants

For rs2200733, 6 studies from January 2010 to June 2017 were included in meta-analysis [9-13,18]. Five out of six studies reported statistical significant increased risk of AF recurrence in patent with SNP rs2200733[9-13]. According to the pooled analysis, there is a strong independent association between chromosome 4q25 variant and AF recurrence after catheter ablation (RR 1.45 [95% CI 1.15-1.83], p = 0.002) with high heterogeneity (I2=59.6%) [Figure 2].

Figure 2. Forest plot of the included studies assessing the association between recurrence of atrial fibrillation after catheter ablation and variant rs2200733 on 4q25.

Figure 2.

Three studies were included for meta-analysis for rs10033464 [10,12,13] which reveals no association with AF recurrence (RR 1.11 [95% CI 0.64-1.94], p = 0.703) with high heterogeneity (I2=66.2%) [Figure 3]. We did not performed meta-analysis in rs6843082 and rs1906617 since only one study of each provided available data. For rs6843082, previous report revealed no association with AF recurrence (RR 0.84 [95% CI 0.61-1.15], p = 0.280)[18]. However, for rs1906617, recent study reported significant association with AF recurrence (RR 2.44 [95% CI 1.06-5.61], p = 0.035)[19].

Figure 3A. Forest plot of the included studies assessing the association between recurrence of atrial fibrillation after catheter ablation and variant rs10033464 on 4q25, B) rs13376333 on 1q21, C) rs2106261 on 16q22, and D) rs7193343 on 16q22.

Figure 3A

1q21 Variant

For rs13376333, 3 studies from January 2010 to June 2017 were included in meta-analysis [12,13,18]. All of 3 studies reported no association between patients with SNP rs13376333 and risk of AF recurrence. According to the pooled analysis, there is no independent association between rs13376333 in chromosome 1q21 variant and atrial fibrillation recurrence after catheter ablation (RR 0.86 [95% CI 0.71-1.05], p = 0.142) with low heterogeneity (I2=0%) [Figure 3B].

16q22 Variant

For rs2106261, 2 studies from January 2010 to June 2017 were included in meta-analysis [9,18]. All of two studies reported no association between patients with SNP rs2106261 and risk of AF recurrence. According to the pooled analysis, there is no independent association between rs2106261 in chromosome 16q22 variant and atrial fibrillation recurrence after catheter ablation (RR 0.92 [95% CI 0.74-1.14], p = 0.434) with low heterogeneity (I2=21.2%) [Figure 3C].

For rs7193343, two studies from January 2010 to June 2017 were included in meta-analysis[12,13]. All of two studies reported no significant association between patients with SNP rs7193343 and risk of AF recurrence. According to the pooled analysis, there is no independent association between rs7193343 in chromosome 16q22 variant and atrial fibrillation recurrence after catheter ablation (RR 0.90 [95% CI 0.73-1.11], p = 0.331) with low heterogeneity (I2=0%) [Figure 3D].

Sensitivity Analysis

To assess the stability of the results of the meta-analysis, we conducted a sensitivity analysis by excluding one study at a time. We used a sequential exclusion strategy, as described by Patsopoulos and colleagues, to examine whether overall estimates were influenced by the substantial heterogeneity observed[20]. None of the results was significantly altered, indicating that our results were robust

Publication Bias

To investigate potential publication bias in rs2200733, we examined the contour-enhanced funnel plot of the included studies in assessing change in log OR of AF recurrence [Figure 4]. The vertical axis represents study size (standard error) while the horizontal axis represents effect size (log odds ratio). From this plot, distribution of studies on both sides of the mean is asymmetrical. The Egger's test was not significant in rs2200733 (p = 0.060), and rs10033464 (p = 0.279) which confirmed no small study bias. However, small study bias was observed in rs13376333 (p = 0.007)

Figure 4. Funnel plot of recurrence of atrial fibrillation after catheter ablation and variant rs2200733 on 4q25. Circles represent observed published studies.

Figure 4

Discussion

Our analysis found that the variant rs2200733 on 4q25 significantly associated with AF recurrence after catheter ablation (RR 1.45 [95% CI 1.15-1.83], p = 0.002), whereas no association was found among variants rs10033464 from 4q25, rs13376333 from 1q21, and rs7193343 and rs2106261 from 16q22. We did not analyze SNPs that presented only in single publication; among these non-analyzed SNPs, only rs1906617 from 4q25 increased a risk of AF recurrence, with a relative risk of 2.44, in the report by Miyazaki et al.[19].

Genetics of AF has been emerging in recent years. Researchers from Framingham Heart Study initially found that parental history could double the risk of AF in offspring[21]. Variants in genes encoding cardiac potassium and sodium channel complexes and gap junction proteins were found to cause a familial form of AF [22]. In contrast to these high-penetrant rare variants, the low-penetrant polymorphisms found via GWAS tend to interact with environment and result in the more common non-familial phenotype. The variant rs2200733, not surprisingly, has been studied the most and strongly associated with AF occurrence, with an odd ratio of 1.89, according to the recent meta-analysis of 10,546 subjects with AF[23]. Presence of rs2200733 also implicated in cardioembolic stroke[24] and postoperative AF after coronary artery bypass graft surgery [25,26]. Our study is the first meta-analysis to evaluate this variant, along with others, and its risk of AF recurrence after catheter ablation. We believe that only a variant with strong molecular signals (e.g. rs2200733) will affect AF recurrence after catheter ablation, whereas the others (e.g. those in 1q21 and 16q22 loci) will not[13]. Nonetheless, the precise mechanism how they affect AF recurrence is yet to be determined.

The paired-like homeodomain transcription factor 2 (PITX2) gene is located closest to variant rs2200733, and the hypotheses underlying the AF susceptibility of 4q25 loci lies, probably, in this gene[4]. PITX2 expressed in left atrium of mice and humans, and both over- and underexpression of the gene are associated with AF[27]. In mice, its haploinsufficiency resulted in ectopic automaticity in the left atrium and thus predisposed to atrial arrhythmia[28]. Moreover, PITX2 promotes cardiac left-right asymmetry and development of pulmonary vein sleeves, which are isolated during AF ablation procedure–referred to pulmonary vein isolation [13,27,29]. No known gene was identified in the linkage disequilibrium block containing variant rs2200733[4]; thus, the variants at this location may indirectly be a marker of unidentified mechanisms independent of PITX2, or, on the other hand, may have an unknown direct relation with the gene [10].

Chen et al have additionally demonstrated that, when compared to AF patients with wild-type allele, carriers of rs2200733 had larger superior pulmonary veins, which are more common AF-driving ectopic loci than the inferior pulmonary veins[9]. This might explain the propensity of AF recurrence, and shows how genetic data promisingly suggests a different ablation method in this patient population.

Among the early researchers who showed how the variant potentially implicated clinical practice on AF recurrence, Shoemaker et al. found that the presence of rs2200733 risk allele in patients having left atrial diameter larger than 5cm–which usually used as a cutoff for AF ablation eligibility–increased the risk of AF recurrence from 40% to 87.5% [30]. In the multivariate analysis, the risk allele predicted a 24% shorter recurrence-free time with a survival time ratio of 0.76 (CI 0.6-0.95)[30]; this is crucial since patients with earlier recurrences tend to have less sporadic episodes and respond poorer to anti-arrhythmic drugs and repeat ablation[31]. We know that established risk factors of AF recurrence after catheter ablation include hypertension, obesity, sleep-disordered breathing, metabolic syndrome, left atrial dilatation, and longstanding persistent AF [3,32], and the decision to pursue ablation procedure depends on type of AF, left atrial size, symptom severity, systolic dysfunction, estimated risk of complications, and patient preference[2]. Thus, adding rs2200733 to the list may help physicians predict outcomes and risk stratify patients before performing the procedure–reducing patients and physicians’ frustration and creating the most efficacious strategy for this invasive, high-cost, success-limited procedure. Accordingly, a large-scale study exploring its accuracy and cost-effectiveness, especially with the rapidly decreasing cost of genomic sequencing, are required.

Limitations

Our study is not without limitations. Different study populations and designs were included and thus might introduce potential sources of heterogeneity. We also did not demonstrate independent predictors of recurrance in AF such as age, sex, diabetes, and hypertension because of insufficient data from included studies to perform meta-analysis in these subgroups. Theses factors might introduce potential sources of heterogeneity as well. Some heterogeneity exists among studies. Nonetheless, we used sensitivity analysis methods in the random-effects model and found no difference of the imputed risk ratio and its 95% confidence interval.

Conclusion

We systematically reviewed variants from chromosome loci 4q25, 1q21, and 16q22, and demonstrated that only rs2200733 from 4q25 confers an increased risk of AF recurrence after catheter ablation. The most plausible mechanism is related to the closest gene, PITX2; however, its molecular pathophysiology is yet elusive and more studies are warranted to explore how these variants impact the clinical course and prognosis of AF. Incorporation of this variant as a pre-procedural risk factor to predict an outcome of catheter ablation is an attractive paradigm in personalized AF management in the near future.

Disclosures

None.

References

  • 1.Kannel William B, Benjamin Emelia J. Status of the epidemiology of atrial fibrillation. Med. Clin. North Am. 2008 Jan;92 (1):17–40, ix. doi: 10.1016/j.mcna.2007.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Piccini Jonathan P, Fauchier Laurent. Rhythm control in atrial fibrillation. Lancet. 2016 Aug 20;388 (10046):829–40. doi: 10.1016/S0140-6736(16)31277-6. [DOI] [PubMed] [Google Scholar]
  • 3.Cai Liyun, Yin Yuehui, Ling Zhiyu, Su Li, Liu Zengzhang, Wu Jinjin, Du Huaan, Lan Xianbin, Fan Jinqi, Chen Weijie, Xu Yanping, Zhou Pei, Zhu Jifang, Zrenner Bernhard. Predictors of late recurrence of atrial fibrillation after catheter ablation. Int. J. Cardiol. 2013 Mar 20;164 (1):82–7. doi: 10.1016/j.ijcard.2011.06.094. [DOI] [PubMed] [Google Scholar]
  • 4.Gudbjartsson Daniel F, Arnar David O, Helgadottir Anna, Gretarsdottir Solveig, Holm Hilma, Sigurdsson Asgeir, Jonasdottir Adalbjorg, Baker Adam, Thorleifsson Gudmar, Kristjansson Kristleifur, Palsson Arnar, Blondal Thorarinn, Sulem Patrick, Backman Valgerdur M, Hardarson Gudmundur A, Palsdottir Ebba, Helgason Agnar, Sigurjonsdottir Runa, Sverrisson Jon T, Kostulas Konstantinos, Ng Maggie C Y, Baum Larry, So Wing Yee, Wong Ka Sing, Chan Juliana C N, Furie Karen L, Greenberg Steven M, Sale Michelle, Kelly Peter, MacRae Calum A, Smith Eric E, Rosand Jonathan, Hillert Jan, Ma Ronald C W, Ellinor Patrick T, Thorgeirsson Gudmundur, Gulcher Jeffrey R, Kong Augustine, Thorsteinsdottir Unnur, Stefansson Kari. Variants conferring risk of atrial fibrillation on chromosome 4q25. Nature. 2007 Jul 19;448 (7151):353–7. doi: 10.1038/nature06007. [DOI] [PubMed] [Google Scholar]
  • 5.Benjamin Emelia J, Rice Kenneth M, Arking Dan E, Pfeufer Arne, van Noord Charlotte, Smith Albert V, Schnabel Renate B, Bis Joshua C, Boerwinkle Eric, Sinner Moritz F, Dehghan Abbas, Lubitz Steven A, D'Agostino Ralph B, Lumley Thomas, Ehret Georg B, Heeringa Jan, Aspelund Thor, Newton-Cheh Christopher, Larson Martin G, Marciante Kristin D, Soliman Elsayed Z, Rivadeneira Fernando, Wang Thomas J, Eiríksdottir Gudny, Levy Daniel, Psaty Bruce M, Li Man, Chamberlain Alanna M, Hofman Albert, Vasan Ramachandran S, Harris Tamara B, Rotter Jerome I, Kao W H Linda, Agarwal Sunil K, Stricker Bruno H Ch, Wang Ke, Launer Lenore J, Smith Nicholas L, Chakravarti Aravinda, Uitterlinden André G, Wolf Philip A, Sotoodehnia Nona, Köttgen Anna, van Duijn Cornelia M, Meitinger Thomas, Mueller Martina, Perz Siegfried, Steinbeck Gerhard, Wichmann H-Erich, Lunetta Kathryn L, Heckbert Susan R, Gudnason Vilmundur, Alonso Alvaro, Kääb Stefan, Ellinor Patrick T, Witteman Jacqueline C M. Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry. Nat. Genet. 2009 Aug;41 (8):879–81. doi: 10.1038/ng.416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ellinor Patrick T, Lunetta Kathryn L, Glazer Nicole L, Pfeufer Arne, Alonso Alvaro, Chung Mina K, Sinner Moritz F, de Bakker Paul I W, Mueller Martina, Lubitz Steven A, Fox Ervin, Darbar Dawood, Smith Nicholas L, Smith Jonathan D, Schnabel Renate B, Soliman Elsayed Z, Rice Kenneth M, Van Wagoner David R, Beckmann Britt-M, van Noord Charlotte, Wang Ke, Ehret Georg B, Rotter Jerome I, Hazen Stanley L, Steinbeck Gerhard, Smith Albert V, Launer Lenore J, Harris Tamara B, Makino Seiko, Nelis Mari, Milan David J, Perz Siegfried, Esko Tõnu, Köttgen Anna, Moebus Susanne, Newton-Cheh Christopher, Li Man, Möhlenkamp Stefan, Wang Thomas J, Kao W H Linda, Vasan Ramachandran S, Nöthen Markus M, MacRae Calum A, Stricker Bruno H Ch, Hofman Albert, Uitterlinden André G, Levy Daniel, Boerwinkle Eric, Metspalu Andres, Topol Eric J, Chakravarti Aravinda, Gudnason Vilmundur, Psaty Bruce M, Roden Dan M, Meitinger Thomas, Wichmann H-Erich, Witteman Jacqueline C M, Barnard John, Arking Dan E, Benjamin Emelia J, Heckbert Susan R, Kääb Stefan. Common variants in KCNN3 are associated with lone atrial fibrillation. Nat. Genet. 2010 Mar;42 (3):240–4. doi: 10.1038/ng.537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Liu Xinyuan, Wang Fei, Knight Ashley C, Zhao Jiangmin, Xiao Junjie. Common variants for atrial fibrillation: results from genome-wide association studies. Hum. Genet. 2012 Jan;131 (1):33–9. doi: 10.1007/s00439-011-1052-3. [DOI] [PubMed] [Google Scholar]
  • 8.Kääb Stefan, Darbar Dawood, van Noord Charlotte, Dupuis Josée, Pfeufer Arne, Newton-Cheh Christopher, Schnabel Renate, Makino Seiko, Sinner Moritz F, Kannankeril Prince J, Beckmann Britt M, Choudry Subbarao, Donahue Brian S, Heeringa Jan, Perz Siegfried, Lunetta Kathryn L, Larson Martin G, Levy Daniel, MacRae Calum A, Ruskin Jeremy N, Wacker Annette, Schömig Albert, Wichmann H-Erich, Steinbeck Gerhard, Meitinger Thomas, Uitterlinden André G, Witteman Jacqueline C M, Roden Dan M, Benjamin Emelia J, Ellinor Patrick T. Large scale replication and meta-analysis of variants on chromosome 4q25 associated with atrial fibrillation. Eur. Heart J. 2009 Apr;30 (7):813–9. doi: 10.1093/eurheartj/ehn578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chen Feifei, Yang Yanzong, Zhang Rongfeng, Zhang Shulong, Dong Yingxue, Yin Xiaomeng, Chang Dong, Yang Zhiqiang, Wang Kejing, Gao Lianjun, Xia Yunlong. Polymorphism rs2200733 at chromosome 4q25 is associated with atrial fibrillation recurrence after radiofrequency catheter ablation in the Chinese Han population. Am J Transl Res. 2016;8 (2):688–97. [PMC free article] [PubMed] [Google Scholar]
  • 10.Husser Daniela, Adams Volker, Piorkowski Christopher, Hindricks Gerhard, Bollmann Andreas. Chromosome 4q25 variants and atrial fibrillation recurrence after catheter ablation. J. Am. Coll. Cardiol. 2010 Feb 23;55 (8):747–53. doi: 10.1016/j.jacc.2009.11.041. [DOI] [PubMed] [Google Scholar]
  • 11.Zhao Li-Qun, Zhang Guo-Bing, Wen Zu-Jia, Huang Chun-Kai, Wu Hai-Qing, Xu Juan, Qi Bao-Zhen, Wang Zhi-Min, Shi Yong-Yong, Liu Shao-Wen. Common variants predict recurrence after nonfamilial atrial fibrillation ablation in Chinese Han population. Int. J. Cardiol. 2017 Jan 15;227 ():360–366. doi: 10.1016/j.ijcard.2016.11.057. [DOI] [PubMed] [Google Scholar]
  • 12.Shoemaker M Benjamin, Bollmann Andreas, Lubitz Steven A, Ueberham Laura, Saini Harsimran, Montgomery Jay, Edwards Todd, Yoneda Zachary, Sinner Moritz F, Arya Arash, Sommer Philipp, Delaney Jessica, Goyal Sandeep K, Saavedra Pablo, Kanagasundram Arvindh, Whalen S Patrick, Roden Dan M, Hindricks Gerhard, Ellis Christopher R, Ellinor Patrick T, Darbar Dawood, Husser Daniela. Common genetic variants and response to atrial fibrillation ablation. Circ Arrhythm Electrophysiol. 2015 Apr;8 (2):296–302. doi: 10.1161/CIRCEP.114.001909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kiliszek Marek, Kozluk Edward, Franaszczyk Maria, Lodzinski Piotr, Piatkowska Agnieszka, Ploski Rafal, Opolski Grzegorz. The 4q25, 1q21, and 16q22 polymorphisms and recurrence of atrial fibrillation after pulmonary vein isolation. Arch Med Sci. 2016 Feb 01;12 (1):38–44. doi: 10.5114/aoms.2015.48284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Stang Andreas. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol. 2010 Sep;25 (9):603–5. doi: 10.1007/s10654-010-9491-z. [DOI] [PubMed] [Google Scholar]
  • 15.DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986 Sep;7 (3):177–88. doi: 10.1016/0197-2456(86)90046-2. [DOI] [PubMed] [Google Scholar]
  • 16.Higgins Julian P T, Thompson Simon G, Deeks Jonathan J, Altman Douglas G. Measuring inconsistency in meta-analyses. BMJ. 2003 Sep 06;327 (7414):557–60. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Sterne J A, Egger M. Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol. 2001 Oct;54 (10):1046–55. doi: 10.1016/s0895-4356(01)00377-8. [DOI] [PubMed] [Google Scholar]
  • 18.Choi Eue-Keun, Park Jae Hyung, Lee Ji-Young, Nam Chung Mo, Hwang Min Ki, Uhm Jae-Sun, Joung Boyoung, Ko Young-Guk, Lee Moon-Hyoung, Lubitz Steven A, Ellinor Patrick T, Pak Hui-Nam. Korean Atrial Fibrillation (AF) Network: Genetic Variants for AF Do Not Predict Ablation Success. J Am Heart Assoc. 2015 Aug 13;4 (8) doi: 10.1161/JAHA.115.002046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Miyazaki Shinsuke, Ebana Yusuke, Liu Lian, Nakamura Hiroaki, Hachiya Hitoshi, Taniguchi Hiroshi, Takagi Takamitsu, Kajiyama Takatsugu, Watanabe Tomonori, Igarashi Miyako, Kusa Shigeki, Niida Takashi, Iesaka Yoshito, Furukawa Tetsushi. Chromosome 4q25 variants and recurrence after second-generation cryoballoon ablation in patients with paroxysmal atrial fibrillation. Int. J. Cardiol. 2017 Oct 01;244 ():151–157. doi: 10.1016/j.ijcard.2017.06.046. [DOI] [PubMed] [Google Scholar]
  • 20.Patsopoulos Nikolaos A, Evangelou Evangelos, Ioannidis John P A. Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation. Int J Epidemiol. 2008 Oct;37 (5):1148–57. doi: 10.1093/ije/dyn065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Fox Caroline S, Parise Helen, D'Agostino Ralph B, Lloyd-Jones Donald M, Vasan Ramachandran S, Wang Thomas J, Levy Daniel, Wolf Philip A, Benjamin Emelia J. Parental atrial fibrillation as a risk factor for atrial fibrillation in offspring. JAMA. 2004 Jun 16;291 (23):2851–5. doi: 10.1001/jama.291.23.2851. [DOI] [PubMed] [Google Scholar]
  • 22.Mahida Saagar, Lubitz Steven A, Rienstra Michiel, Milan David J, Ellinor Patrick T. Monogenic atrial fibrillation as pathophysiological paradigms. Cardiovasc. Res. 2011 Mar 01;89 (4):692–700. doi: 10.1093/cvr/cvq381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Mohanty Sanghamitra, Santangeli Pasquale, Bai Rong, Di Biase Luigi, Mohanty Prasant, Pump Agnes, Natale Andrea. Variant rs2200733 on chromosome 4q25 confers increased risk of atrial fibrillation: evidence from a meta-analysis. J. Cardiovasc. Electrophysiol. 2013 Feb;24 (2):155–61. doi: 10.1111/jce.12017. [DOI] [PubMed] [Google Scholar]
  • 24.Gretarsdottir Solveig, Thorleifsson Gudmar, Manolescu Andrei, Styrkarsdottir Unnur, Helgadottir Anna, Gschwendtner Andreas, Kostulas Konstantinos, Kuhlenbäumer Gregor, Bevan Steve, Jonsdottir Thorbjorg, Bjarnason Hjordis, Saemundsdottir Jona, Palsson Stefan, Arnar David O, Holm Hilma, Thorgeirsson Gudmundur, Valdimarsson Einar Mar, Sveinbjörnsdottir Sigurlaug, Gieger Christian, Berger Klaus, Wichmann H-Erich, Hillert Jan, Markus Hugh, Gulcher Jeffrey Robert, Ringelstein E Bernd, Kong Augustine, Dichgans Martin, Gudbjartsson Daniel Fannar, Thorsteinsdottir Unnur, Stefansson Kari. Risk variants for atrial fibrillation on chromosome 4q25 associate with ischemic stroke. Ann. Neurol. 2008 Oct;64 (4):402–9. doi: 10.1002/ana.21480. [DOI] [PubMed] [Google Scholar]
  • 25.Body Simon C, Collard Charles D, Shernan Stanton K, Fox Amanda A, Liu Kuang-Yu, Ritchie Marylyn D, Perry Tjörvi E, Muehlschlegel Jochen D, Aranki Sary, Donahue Brian S, Pretorius Mias, Estrada Juan-Carlos, Ellinor Patrick T, Newton-Cheh Christopher, Seidman Christine E, Seidman J G, Herman Daniel S, Lichtner Peter, Meitinger Thomas, Pfeufer Arne, Kääb Stefan, Brown Nancy J, Roden Dan M, Darbar Dawood. Variation in the 4q25 chromosomal locus predicts atrial fibrillation after coronary artery bypass graft surgery. Circ Cardiovasc Genet. 2009 Oct;2 (5):499–506. doi: 10.1161/CIRCGENETICS.109.849075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Virani Salim S, Brautbar Ariel, Lee Vei-Vei, Elayda Macarthur, Sami Shehzad, Nambi Vijay, Frazier Lorraine, Wilson James M, Willerson James T, Boerwinkle Eric, Ballantyne Christie M. Usefulness of single nucleotide polymorphism in chromosome 4q25 to predict in-hospital and long-term development of atrial fibrillation and survival in patients undergoing coronary artery bypass grafting. Am. J. Cardiol. 2011 May 15;107 (10):1504–9. doi: 10.1016/j.amjcard.2011.01.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Syeda Fahima, Kirchhof Paulus, Fabritz Larissa. PITX2-dependent gene regulation in atrial fibrillation and rhythm control. J. Physiol. (Lond.) 2017 Jun 15;595 (12):4019–4026. doi: 10.1113/JP273123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wang Jun, Klysik Elzbieta, Sood Subeena, Johnson Randy L, Wehrens Xander H T, Martin James F. Pitx2 prevents susceptibility to atrial arrhythmias by inhibiting left-sided pacemaker specification. Proc. Natl. Acad. Sci. U.S.A. 2010 May 25;107 (21):9753–8. doi: 10.1073/pnas.0912585107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Wang Jun, Klysik Elzbieta, Sood Subeena, Johnson Randy L, Wehrens Xander H T, Martin James F. Pitx2 prevents susceptibility to atrial arrhythmias by inhibiting left-sided pacemaker specification. Proc. Natl. Acad. Sci. U.S.A. 2010 May 25;107 (21):9753–8. doi: 10.1073/pnas.0912585107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Benjamin Shoemaker M, Muhammad Raafia, Parvez Babar, White Brenda W, Streur Megan, Song Yanna, Stubblefield Tanya, Kucera Gayle, Blair Marcia, Rytlewski Jason, Parvathaneni Sunthosh, Nagarakanti Rangadham, Saavedra Pablo, Ellis Christopher R, Patrick Whalen S, Roden Dan M, Darbar R Dawood. Common atrial fibrillation risk alleles at 4q25 predict recurrence after catheter-based atrial fibrillation ablation. Heart Rhythm. 2013 Mar;10 (3):394–400. doi: 10.1016/j.hrthm.2012.11.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Gaztañaga Larraitz, Frankel David S, Kohari Maria, Kondapalli Lavanya, Zado Erica S, Marchlinski Francis E. Time to recurrence of atrial fibrillation influences outcome following catheter ablation. Heart Rhythm. 2013 Jan;10 (1):2–9. doi: 10.1016/j.hrthm.2012.09.005. [DOI] [PubMed] [Google Scholar]
  • 32.Darby Andrew E. Recurrent Atrial Fibrillation After Catheter Ablation: Considerations For Repeat Ablation And Strategies To Optimize Success. J Atr Fibrillation. 2016 Dec 3;9 (1) doi: 10.4022/jafib.1427. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Atrial Fibrillation are provided here courtesy of CardioFront, LLC

RESOURCES