Unravelling the genetic basis of schizophrenia and bipolar disorder with GWAS: A systematic review

J Psychiatr Res. 2019 Jul:114:178-207. doi: 10.1016/j.jpsychires.2019.04.007. Epub 2019 Apr 12.

Abstract

Objectives: To systematically review findings of GWAS in schizophrenia (SZ) and in bipolar disorder (BD); and to interpret findings, with a focus on identifying independent replications.

Method: PubMed search, selection and review of all independent GWAS in SZ or BD, published since March 2011, i.e. studies using non-overlapping samples within each article, between articles, and with those of the previous review (Li et al., 2012).

Results: From the 22 GWAS included in this review, the genetic associations surviving standard GWAS-significance were for genetic markers in the regions of ACSL3/KCNE4, ADCY2, AMBRA1, ANK3, BRP44, DTL, FBLN1, HHAT, INTS7, LOC392301, LOC645434/NMBR, LOC729457, LRRFIP1, LSM1, MDM1, MHC, MIR2113/POU3F2, NDST3, NKAPL, ODZ4, PGBD1, RENBP, TRANK1, TSPAN18, TWIST2, UGT1A1/HJURP, WHSC1L1/FGFR1 and ZKSCAN4. All genes implicated across both reviews are discussed in terms of their function and implication in neuropsychiatry.

Conclusion: Taking all GWAS to date into account, AMBRA1, ANK3, ARNTL, CDH13, EFHD1 (albeit with different alleles), MHC, PLXNA2 and UGT1A1 have been implicated in either disorder in at least two reportedly non-overlapping samples. Additionally, evidence for a SZ/BD common genetic basis is most strongly supported by the implication of ANK3, NDST3, and PLXNA2.

Keywords: Biological psychiatry; Bipolar disorder; Genome-wide association study; Schizophrenia; Single nucleotide polymorphism.

Publication types

  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Bipolar Disorder / etiology
  • Bipolar Disorder / genetics*
  • Genetic Markers / genetics
  • Genetic Predisposition to Disease / genetics*
  • Genome-Wide Association Study*
  • Humans
  • Polymorphism, Genetic / genetics
  • Schizophrenia / etiology
  • Schizophrenia / genetics*

Substances

  • Genetic Markers