Human Genetics

, 126:843 | Cite as

Assessment of association of rs2200733 on chromosome 4q25 with atrial fibrillation and ischemic stroke in a Chinese Han population

  • Lisong Shi
  • Cong Li
  • Chuchu Wang
  • Yunlong Xia
  • Gang Wu
  • Fan Wang
  • Chengqi Xu
  • Pengyun Wang
  • Xiuchun Li
  • Dan Wang
  • Xin Xiong
  • Ying Bai
  • Mugen Liu
  • Jingyu Liu
  • Xiang Ren
  • Lianjun Gao
  • Binbin Wang
  • Qiutang Zeng
  • Bo Yang
  • Xu Ma
  • Yanzong Yang
  • Xin Tu
  • Qing Kenneth Wang
Original Investigation

Abstract

Atrial fibrillation (AF) is the most common arrhythmia in the clinical setting and an independent risk factor for stroke. Approximately 10 million Chinese people are affected by AF, but the genetic basis is largely unknown. A recent genome-wide association study in Iceland identified association between SNP rs2200733 on 4q25 and AF; however, many independent replication studies are essential to unequivocally validate this association. To assess the association between rs2200733 and AF as well as that between rs2200733 and ischemic stroke in a mainland Chinese Han population, we carried out case–control association studies with 383 AF patients versus 851 non-AF controls and 811 ischemic stroke patients versus 688 non-stroke controls. Highly significant association was detected between rs2200733 and AF in a Chinese Han population (allelic P = 3.7 × 10−11 with OR = 1.81; genotypic P = 4.1 × 10−12 with a dominant model). When the AF cases were divided into lone AF (32.6%) and other types of AF (67.4%), significantly stronger association was found with lone AF (OR = 2.40, P = 1.3 × 10−9 compared to OR = 1.59, P = 6.2 × 10−7 for other types of AF; P = 0.02 for two ORs). No significant association was found between rs2200733 and ischemic stroke. Our results suggest that SNP rs2200733 confers a highly significant risk of AF, but not ischemic stroke, in a more representative Chinese Han population in the mainland China.

Keywords

Atrial Fibrillation Ischemic Stroke Single Nucleotide Polymorphism Atrial Fibrillation Patient Ischemic Stroke Patient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank all patients and normal control individuals for their participation of this study. We thank Drs. Dingfeng Su and Baofeng Yang for their help. This work was supported by the China National Basic Research Program (973 program 2007CB512000 and 2009CB521901), China National 863 Scientific Program (2006AA02Z476) and National Natural Science Foundation of China (30670857; 30800457). This study was approved by the Institutional Review Board of College of Life Science and Technology, Huazhong University of Science and Technology.

Supplementary material

439_2009_737_MOESM1_ESM.doc (66 kb)
Supplementary material (DOC 65 kb)

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Lisong Shi
    • 1
  • Cong Li
    • 1
  • Chuchu Wang
    • 1
  • Yunlong Xia
    • 3
  • Gang Wu
    • 4
  • Fan Wang
    • 1
  • Chengqi Xu
    • 1
  • Pengyun Wang
    • 1
  • Xiuchun Li
    • 1
  • Dan Wang
    • 1
  • Xin Xiong
    • 1
  • Ying Bai
    • 1
  • Mugen Liu
    • 1
  • Jingyu Liu
    • 1
  • Xiang Ren
    • 1
  • Lianjun Gao
    • 3
  • Binbin Wang
    • 5
  • Qiutang Zeng
    • 6
  • Bo Yang
    • 4
  • Xu Ma
    • 5
  • Yanzong Yang
    • 3
  • Xin Tu
    • 1
  • Qing Kenneth Wang
    • 1
    • 2
  1. 1.Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Center for Human Genome ResearchHuazhong University of Science and TechnologyWuhanChina
  2. 2.Center for Cardiovascular Genetics, Cleveland ClinicClevelandUSA
  3. 3.First Affiliated Hospital of Dalian Medical UniversityDalianChina
  4. 4.Renmin Hospital of Wuhan UniversityWuhanChina
  5. 5.Institutions Affiliated to the National Population and Family Planning CommissionBeijingChina
  6. 6.Union Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina

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