The schizophrenia genetics knowledgebase: a comprehensive update of findings from candidate gene studies

  • Chenxing Liu
  • , Tetsufumi Kanazawa
  • , Ye Tian
  • , Suriati Mohamed Saini
  • , Serafino Mancuso
  • , Md Shaki Mostaid
  • , Atsushi Takahashi
  • , Dai Zhang
  • , Fuquan Zhang
  • , Hao Yu
  • , Hyoung Doo Shin
  • , Hyun Sub Cheong
  • , Masashi Ikeda
  • , Michiaki Kubo
  • , Nakao Iwata
  • , Sung Il Woo
  • , Weihua Yue
  • , Yoichiro Kamatani
  • , Yongyong Shi
  • , Zhiqiang Li
  • Ian Everall, Christos Pantelis, Chad Bousman

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Over 3000 candidate gene association studies have been performed to elucidate the genetic underpinnings of schizophrenia. However, a comprehensive evaluation of these studies’ findings has not been undertaken since the decommissioning of the schizophrenia gene (SzGene) database in 2011. As such, we systematically identified and carried out random-effects meta-analyses for all polymorphisms with four or more independent studies in schizophrenia along with a series of expanded meta-analyses incorporating published and unpublished genome-wide association (GWA) study data. Based on 550 meta-analyses, 11 SNPs in eight linkage disequilibrium (LD) independent loci showed Bonferroni-significant associations with schizophrenia. Expanded meta-analyses identified an additional 10 SNPs, for a total of 21 Bonferroni-significant SNPs in 14 LD-independent loci. Three of these loci (MTHFR, DAOA, ARVCF) had never been implicated by a schizophrenia GWA study. In sum, the present study has provided a comprehensive summary of the current schizophrenia genetics knowledgebase and has made available all the collected data as a resource for the research community.

Original languageEnglish
Article number205
JournalTranslational psychiatry
Volume9
Issue number1
DOIs
Publication statusPublished - 01-12-2019

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Biological Psychiatry

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