Association Study of ANK3 Polymorphism and Risk of Schizophrenia

ANK3 유전자 다형성과 조현병의 연관성에 대한 연합연구

  • Yang, So Yung (Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center) ;
  • Huh, Ik-Soo (Department of Statistics, Seoul National University) ;
  • Cho, Eun Young (Center for Clinical Research, Samsung Biomedical Research Institute) ;
  • Choi, Mi Ji (Center for Clinical Research, Samsung Biomedical Research Institute) ;
  • Park, Taesung (Department of Statistics, Seoul National University) ;
  • Lee, Yu-Sang (Yong-In Mental Hospital) ;
  • Hong, Kyung Sue (Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center)
  • 양소영 (성균관대학교 의과대학 삼성서울병원 정신건강의학교실) ;
  • 허익수 (서울대학교 자연과학대학 통계학과) ;
  • 조은영 (삼성생명과학연구소 임상의학연구센터) ;
  • 최미지 (삼성생명과학연구소 임상의학연구센터) ;
  • 박태성 (서울대학교 자연과학대학 통계학과) ;
  • 이유상 (용인정신병원) ;
  • 홍경수 (성균관대학교 의과대학 삼성서울병원 정신건강의학교실)
  • Received : 2015.07.13
  • Accepted : 2015.08.26
  • Published : 2015.11.30

Abstract

Objectives Previous genome-wide association studies have indicated the association between ankyrin 3 (ANK3) and the vulnerability of schizophrenia. We investigated the association between single nucleotide polymorphisms (SNPs) covering the whole ANK3 locus and schizophrenia in the Korean population. Methods The study subjects were 582 patients with schizophrenia and 502 healthy controls. Thirty-eight tag SNPs on ANK3 and five additional SNPs showing significant association with schizophrenia in previous studies were genotyped. Results Three (rs10994181, rs16914791, rs1938526) of 43 SNPs showed a nominally significant association (p < 0.05) with at least one genotype model. But none of these associations remained significant after adjusting for multiple testing errors with Bonferroni's correction. Conclusions We could not identify a significant association between ANK3 and schizophrenia in the Korean population. However, three SNPs showing an association signal with nominal significance need to be investigated in future studies with higher statistical power and more specific phenotype crossing the current diagnostic categories.

Keywords

References

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