Annotation of susceptibility SNPs associated with atrial fibrillation

被引:2
|
作者
Xu, Chengqi [1 ]
Zhang, Rongfeng [2 ]
Xia, Yunlong [2 ]
Xiong, Liang [3 ]
Yang, Wei [4 ]
Wang, Pengyun [3 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Ctr Human Genome Res & CardioX Inst, Wuhan 430074, Peoples R China
[2] Dalian Med Univ, Dept Cardiol, Affiliated Hosp 1, Dalian 116011, Peoples R China
[3] Huazhong Univ Sci & Technol, Tongji Med Coll, Dept Clin Lab, Liyuan Hosp, Wuhan 430077, Peoples R China
[4] Second Hosp Jilin Univ, Jilin Prov Key Lab Mol & Chem Genet, Changchun 130041, Peoples R China
来源
AGING-US | 2020年 / 12卷 / 17期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
atrial fibrillation; SNP; annotation; genetics; non-coding; NONCODING GENETIC-VARIANTS; OF-FUNCTION MUTATION; RARE VARIANTS; GENOME-WIDE; RISK LOCI; IDENTIFICATION; COMMON; EPIDEMIOLOGY; ZFHX3; ONSET;
D O I
10.18632/aging.103615
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Objective: Genome-wide association studies (GWAS) and the candidate gene based association studies have identified a panel of variants associated with atrial fibrillation (AF), however, most of the identified single nucleotide polymorphisms (SNPs) were found located within intergenic or intronic genomic regions, and whether the positive SNPs have a real biological function is unknown, and the real disease causing gene need to be studied. Results: The current results of the genetic studies including common variants identified by GWAS (338 index SNPs) and candidate gene based association studies (40 SNPs) were summarized. Conclusion: Our study suggests the relationship between genetic variants and possible targeted genes, and provides insight into potential genetic pathways underlying AF incidence and development. The results may provide an encyclopedia of AF susceptibility SNPs and shed light on the functional mechanisms of AF variants identified through genetic studies. Methods: We summarized AF susceptibility SNPs identified by GWAS and candidate gene based association studies, and give a comprehensive functional annotation of all these AF susceptibility loci. by genomic annotation, microRNA binding prediction, promoter activity analysis, enhancer activity analysis, transcription factors binding activity prediction, expression quantitative trait loci (eQTL) analysis, long-range transcriptional regulatory function analysis, gene ontology and pathway enrichment analysis.
引用
收藏
页码:16981 / 16998
页数:18
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