title: Association of TNF-alpha, IL-6 and IL-1beta gene polymorphisms with polycystic ovary syndrome: a meta-analysis.
abstract: BACKGROUND
  Several studies on the association of TNF-alpha (-308 G/A), IL-6 (-174 G/C) and IL-1beta (-511 C/T) polymorphisms with polycystic ovary syndrome (PCOS) risk have reported conflicting results. The aim of the present study was to assess these associations by meta-analysis.
  
  
  RESULTS
  A total of 14 eligible articles (1665 cases/1687 controls) were included in this meta-analysis. The results suggested that there was no obvious association between the TNF-alpha (-308 G/A) polymorphism and PCOS in the overall population or subgroup analysis by ethnicity, Hardy-Weinberg equilibrium (HWE) in controls, genotyping method, PCOS diagnosis criteria, and study sample size. Also, no obvious association was found between the TNF-alpha (-308 G/A) polymorphism and obesity in patients with PCOS (body mass index [BMI] ≥ 25 kg/m(2) vs. BMI < 25 kg/m(2)). Regarding the IL-6 (-174 G/C) polymorphism, also no association was found in the overall population in heterozygote comparison, dominant model, and recessive model. Even though an allelic model (odds ratio [OR] = 0.63, 95% confidence interval [CI] = 0.41-0.96) and a homozygote comparison (OR = 0.52, 95% CI = 0.30-0.93) showed that the IL-6 (-174 G/C) polymorphism was marginally associated with PCOS. Further subgroup analysis suggested that the effect size was not significant among HWE in controls (sample size ≤ 200) and genotyping method of pyrosequencing under all genetic models. Similarly, there was no association between the IL-1beta (-511 C/T) polymorphism and PCOS in the overall population or subgroup analysis under all genetic models. Furthermore, no significant association was found between the IL-1beta (-511 C/T) polymorphism and several clinical and biochemical parameters in patients with PCOS.
  
  
  CONCLUSIONS
  The results of this meta-analysis suggest that the TNF-alpha (-308 G/A), IL-6 (-174 G/C), and IL-1beta (-511 C/T) polymorphisms may not be associated with PCOS risk. However, further case-control studies with larger sample sizes are needed to confirm our results.
authors: Department of Laboratory Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China. lhgry@126.com.
authors: Renyong
authors: R
authors: Guo
authors: Department of Gynecology and Obstetrics, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, 310012, China. lin_wang1992@126.com.
authors: Ying
authors: Y
authors: Zheng
authors: State Key Laboratory for Diagnosis and Treatment of Infectious Disease, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China. jianzuan_yang@126.com.
authors: Jiezuan
authors: J
authors: Yang
authors: Department of Gynecology and Obstetrics, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, 310012, China. lh_znn@126.com.
authors: Nengneng
authors: N
authors: Zheng
mesh_terms: D005260:Female; D006801:Humans; D053583:Interleukin-1beta / Q000235:genetics*; D015850:Interleukin-6 / Q000235:genetics*; D011085:Polycystic Ovary Syndrome / Q000235:genetics*; D014409:Tumor Necrosis Factor-alpha / Q000235:genetics*
chemical_list: C508585:IL1B protein, human; C508600:IL6 protein, human; D053583:Interleukin-1beta; D015850:Interleukin-6; C439524:TNF protein, human; D014409:Tumor Necrosis Factor-alpha
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