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Meta-analysis of GABRB2 polymorphisms and the risk of schizophrenia combined with GWAS data of the Han Chinese population and psychiatric genomics consortium

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Listed:
  • Tian Zhang
  • Jun Li
  • Hao Yu
  • Yongyong Shi
  • Zhiqiang Li
  • Linyan Wang
  • Ziqi Wang
  • Tianlan Lu
  • Lifang Wang
  • Weihua Yue
  • Dai Zhang

Abstract

Schizophrenia (SCZ) is a severe psychiatric disorder with evidence of a strong genetic component in the complex etiologies. Some studies indicated that gamma-aminobutyric acid (GABA)A receptor β2 subunit gene (GABRB2) was associated with SCZ. Other studies reported a negative association. Moreover, the results of two previous meta-analyses of GABRB2 with SCZ were inconsistent and the sample sizes were limited. Therefore, an updated meta-analysis combined with genome-wide association study (GWAS) data of the Han Chinese population and Psychiatric Genomics Consortium (PGC) was performed. Available case–control and family-based genetic data were extracted from association studies, and the GWAS data were included. The findings showed no association between six single-nucleotide polymorphisms of GABRB2 (rs6556547, rs1816071, rs1816072, rs194072, rs252944, and rs187269) and SCZ in a total of 51,491 patients and 74,667 controls. The ethnic subgroup analysis revealed no significant association in Asian populations. Since the PGC data of SCZ (SCZ-PGC, 2014) contained 3 studies of Asian populations (1866 patients and 3418 controls), only the data of European samples in SCZ-PGC were used for the meta-analysis of the Caucasian population in the present study. The result still showed no association in the Caucasian population. In conclusion, the present meta-analysis on combined data from GWASs of the Han Chinese population and PGC suggested that GABRB2 polymorphisms might not be associated with SCZ.

Suggested Citation

  • Tian Zhang & Jun Li & Hao Yu & Yongyong Shi & Zhiqiang Li & Linyan Wang & Ziqi Wang & Tianlan Lu & Lifang Wang & Weihua Yue & Dai Zhang, 2018. "Meta-analysis of GABRB2 polymorphisms and the risk of schizophrenia combined with GWAS data of the Han Chinese population and psychiatric genomics consortium," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-12, June.
    • Handle: RePEc:plo:pone00:0198690
    DOI: 10.1371/journal.pone.0198690
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    References listed on IDEAS

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    1. Jim van Os & Gunter Kenis & Bart P. F. Rutten, 2010. "The environment and schizophrenia," Nature, Nature, vol. 468(7321), pages 203-212, November.
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