Association of genetic variants in estrogen receptor α with HCV infection susceptibility and viral clearance in a high-risk Chinese population

  • Shaidi Tang
  • Ming Yue
  • Jiajia Wang
  • Jing Su
  • Rongbin Yu
  • Donghui Zhou
  • Ke Xu
  • Li Cai
  • Yun Zhang
  • Jie Wang


The purpose of this study was to test the hypothesis that genetic variants of estrogen receptor α (ERα) are associated with the outcomes of hepatitis C virus (HCV) infection. We genotyped the seven single nucleotide polymorphisms (SNPs) (rs2077647, rs9340799, rs2234693, rs1801132, rs9322354, rs2228480 and rs3798577) of ERα and conducted a case-control study in a high-risk Chinese population, including 429 HCV spontaneous clearance cases, 880 persistent infection cases and 1,174 uninfected controls. The C allele of rs2234693 was significantly associated with increased susceptibility to HCV infection [dominant model: adjusted odds ratio (OR) = 1.377, 95 % confidence interval (CI) =1.126–1.778], and the risk effect remained significant among the younger (≤55 years) and hemodialysis subjects (all P < 0.007). The other three SNPs variant genotypes also showed significant correlation with elevated risk of HCV infection in different strata (rs2077647 in males; rs9340799 in blood donors; rs1801132 in younger subjects; all P < 0.007). It was also discovered that carriage of rs2228480 A allele was more prone to develop persistent HCV infection (dominant model: adjusted OR = 1.203, 95 % CI = 1.154–1.552), and the risk effect was more evident in females and blood donors (all P < 0.007). Haplotype analyses (rs2077647, rs9340799 and rs2234693) showed that, compared with the most frequent haplotype TAT, CAC played a risk effect in subgroups of younger (P = 3.24 × 10−3) and male (P = 5.51 × 10−4), whereas CAT expressed a protective effect in females (P = 2.27 × 10−4) for HCV infection susceptibility. We first report that these SNPs (rs2077647, rs9340799, rs2234693, rs1801132 and rs2228480) in ERα can influence the outcomes of HCV infection in a high-risk Chinese population.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Shaidi Tang
    • 1
  • Ming Yue
    • 2
  • Jiajia Wang
    • 1
  • Jing Su
    • 1
  • Rongbin Yu
    • 1
  • Donghui Zhou
    • 3
  • Ke Xu
    • 4
  • Li Cai
    • 1
  • Yun Zhang
    • 5
  • Jie Wang
    • 6
    • 7
  1. 1.Department of Epidemiology and Biostatistics, School of Public HealthNanjing Medical UniversityNanjingChina
  2. 2.School of Life Science and TechnologyChina Pharmaceutical UniversityNanjingChina
  3. 3.Department of Infectious DiseasesFirst Affiliated Hospital of Nanjing Medical UniversityNanjingChina
  4. 4.Department of Acute Infection DiseasesJiangsu Provincial Center for Disease Prevention and ControlNanjingChina
  5. 5.Department of EpidemiologyMedical Institute of Nanjing ArmyNanjingChina
  6. 6.State Key Laboratory of Reproductive MedicineNanjing Medical UniversityNanjingChina
  7. 7.Department of General Practice, Kangda CollegeNanjing Medical UniversityNanjingChina

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