AUTHOR=Chen Xuejiao , Li Guowei , Zhang Junguo , Huang Xin , Ye Zebing , Zhao Yahong 

TITLE=Association Between GJA1 rs13216675 T>C Polymorphism and Risk of Atrial Fibrillation: A Systematic Review and Meta-Analysis

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=7

YEAR=2020

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2020.585268

DOI=10.3389/fcvm.2020.585268

ISSN=2297-055X

ABSTRACT=<p><bold>Background:</bold> Rs13216675 T&gt;C polymorphism, an SNP (single-nucleotide polymorphism) close to the gap junction protein alpha 1 (<italic>GJA1</italic>) gene, has been reported to be associated with risk of atrial fibrillation (AF); however, the results remained inconclusive. We aimed to perform a systematic review to clarify the relationship between rs13216675 and risk of AF.</p><p><bold>Materials and methods:</bold> We systematically searched the databases of PubMed, EMBASE, Web of Science, and the Chinese National Knowledge Infrastructure up to July 15, 2020. Data were synthesized using the random-effects model. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the relationship between rs13216675 and risk of AF.</p><p><bold>Results:</bold> Seven studies involving 39,827 cases and 458,466 controls were analyzed in the meta-analysis. The overall pooled OR of rs13216675 polymorphism for AF was significant (OR = 1.10, 95% CI = 1.07–1.12, <italic>P</italic> &lt; 0.001) under the additive genetic model. Subgroup analyses revealed that rs13216675 polymorphism was significantly associated with AF in both Asians (OR = 1.12, 95% CI = 1.07–1.17, <italic>P</italic> &lt; 0.001) and Europeans (OR = 1.09, 95% CI = 1.06–1.12, <italic>P</italic> &lt; 0.001). When data were stratified by control sources, rs13216675 polymorphism was significantly related to AF in studies with both population-based controls (OR = 1.09, 95% CI = 1.07–1.12) and hospital-based controls (OR = 1.12, 95% CI = 1.07–1.17). No evidence of publication bias was detected.</p><p><bold>Conclusion:</bold> Our meta-analysis suggested that rs13216675 was significantly related to risk of AF and, therefore, might serve as a potential biological marker of AF.</p>