Li-Qun Zhao1, Guo-Bing Zhang1, Zu-Jia Wen2, Chun-Kai Huang1, Hai-Qing Wu1, Juan Xu1, Bao-Zhen Qi1, Zhi-Min Wang3, Yong-Yong Shi4, Shao-Wen Liu5. 1. Department of Cardiology, Shanghai First People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai 200080, China. 2. Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, 200030, China. 3. Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center and Shanghai Industrial Technology Institute (SITI), Shanghai 201203, China. Electronic address: wangzhm@chgc.sh.cn. 4. Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, 200030, China. Electronic address: 13764928889@163.com. 5. Department of Cardiology, Shanghai First People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai 200080, China. Electronic address: shaowen.liu@hotmail.com.
Abstract
BACKGROUND: Genome-wide association studies (GWAS) have identified several loci associated with atrial fibrillation (AF) and have been reportedly associated with response to catheter ablation for AF in patients of European ancestry; however, associations between susceptibility loci and clinical recurrence of AF after catheter ablation have not been examined in Chinese Han populations. To the personalization of catheter ablation for AF, we examined whether these single nucleotide polymorphisms (SNPs) can predict clinical outcomes after catheter ablation for AF in Chinese Han population. METHODS AND RESULTS: The association between 8 SNPs and AF was studied in 1418 AF patients and 1424 controls by the unconditional logistic regression analysis. The survival analyses were used to compare AT/AF recurrence differences among 438 AF patients, which were classified by the genotype of rs2200733. rs2200733 and rs6590357 were significantly associated with AF in Chinese Han population. In addition, rs2200733 was associated with clinical recurrence of AF after catheter ablation. In Kaplan-Meier survival analysis, the recurrence-free rates for AF with TT and with TC+CC were 35.5% and 61.9%, respectively (P=0.0009). In multivariate Cox regression analysis, rs2200733 was strong independent risk factor for recurrence. CONCLUSION: rs2200733 risk allele at the 4q25 predicted impaired clinical response to catheter ablation for AF in Chinese Han population. Our findings suggested rs2200733 polymorphism may be used as a clinical tool for selection of patients for AF catheter ablation.
BACKGROUND: Genome-wide association studies (GWAS) have identified several loci associated with atrial fibrillation (AF) and have been reportedly associated with response to catheter ablation for AF in patients of European ancestry; however, associations between susceptibility loci and clinical recurrence of AF after catheter ablation have not been examined in Chinese Han populations. To the personalization of catheter ablation for AF, we examined whether these single nucleotide polymorphisms (SNPs) can predict clinical outcomes after catheter ablation for AF in Chinese Han population. METHODS AND RESULTS: The association between 8 SNPs and AF was studied in 1418 AFpatients and 1424 controls by the unconditional logistic regression analysis. The survival analyses were used to compare AT/AF recurrence differences among 438 AFpatients, which were classified by the genotype of rs2200733. rs2200733 and rs6590357 were significantly associated with AF in Chinese Han population. In addition, rs2200733 was associated with clinical recurrence of AF after catheter ablation. In Kaplan-Meier survival analysis, the recurrence-free rates for AF with TT and with TC+CC were 35.5% and 61.9%, respectively (P=0.0009). In multivariate Cox regression analysis, rs2200733 was strong independent risk factor for recurrence. CONCLUSION:rs2200733 risk allele at the 4q25 predicted impaired clinical response to catheter ablation for AF in Chinese Han population. Our findings suggested rs2200733 polymorphism may be used as a clinical tool for selection of patients for AF catheter ablation.
Authors: Mina K Chung; Anant Madabhushi; Thomas Atta-Fosu; Michael LaBarbera; Soumya Ghose; Paul Schoenhagen; Walid Saliba; Patrick J Tchou; Bruce D Lindsay; Milind Y Desai; Deborah Kwon Journal: BMC Med Imaging Date: 2021-03-09 Impact factor: 1.930