Fulltext

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

Liu C 1 , Kanazawa T 2 , Tian Y 2 , Mohamed Saini S 2 , Mancuso S 2 , Mostaid MS 2 Show all authors , Takahashi A 3 , Zhang D 4 , Zhang F 5 , Yu H 4 , Doo Shin H 6 , Sub Cheong H 6 , Ikeda M 7 , Kubo M 8 , Iwata N 7 , Woo SI 9 , Yue W 4 , Kamatani Y 8 , Shi Y 10 , Li Z 10 , Everall I 11 , Pantelis C 2 , Bousman C 12

Affiliations 

  • 1 Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia. chl284@pitt.edu
  • 2 Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
  • 3 Laboratory for Statistical Analysis, RIKEN Center for Integrative, Medical Sciences, Yokohama, Japan
  • 4 Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
  • 5 Department of Psychiatry, The Affiliated Wuxi Mental Health Center of Nanjing Medical University, Wuxi, China
  • 6 Department of Genetic Epidemiology, SNP Genetics, Inc., Seoul, Korea
  • 7 Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
  • 8 RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
  • 9 Soon Chun Hyang University Hospital, Seoul, Korea
  • 10 Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
  • 11 Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
  • 12 Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia. chad.bousman@ucalgary.ca
Transl Psychiatry, 2019 08 27;9(1):205.
PMID: 31455759 DOI: 10.1038/s41398-019-0532-4

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or more independent studies in schizophrenia along with a series of expanded meta-analyses incorporating published and unpublished genome-wide association (GWA) study data.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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications