Breast Cancer Research and Treatment

, Volume 125, Issue 1, pp 175–179

Lack of an association between AURKA T91A polymorphisms and breast cancer: a meta-analysis involving 32,141 subjects

  • Haiming Sun
  • Jing Bai
  • Feng Chen
  • Yan Jin
  • Yang Yu
  • Songbin Fu
Epidemiology

Abstract

Several studies have investigated the associations between AURKA T91A polymorphism and the susceptibility to breast cancer, but the results have been inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 11 case–control studies, including 14,361 cases and 17,780 controls, were selected. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the additive model, dominant model, and recessive model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between AURKA T91A polymorphism and breast cancer risk (for additive model, OR = 0.839, 95% CI = 0.678–1.038; for dominant model: OR = 0.890, 95% CI = 0.757–1.074; and for recessive model: OR = 0.987, 95% CI = 0.963–1.012). In the subgroup analysis by ethnicity, significantly decreased risks were found for Asians (additive model, OR = 0.857, 95% CI = 0.742–0.991). When stratified by study design, no significant association was found between the polymorphism and breast cancer risk. In conclusion, this meta-analysis indicates that the AURKA T91A polymorphism is not a risk factor for developing breast cancer.

Keywords

AURKA Polymorphism Breast cancer Susceptibility Meta-analysis 

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Haiming Sun
    • 1
  • Jing Bai
    • 1
  • Feng Chen
    • 1
  • Yan Jin
    • 1
    • 2
  • Yang Yu
    • 1
  • Songbin Fu
    • 1
  1. 1.Laboratory of Medical GeneticsHarbin Medical UniversityHarbinChina
  2. 2.Key Laboratory of Medical Genetics (Harbin Medical University)Heilongjiang Higher Education InstitutionsHarbinChina

Personalised recommendations