A molecule-based genetic association approach implicates a range of voltage-gated calcium channels associated with schizophrenia

Schizophrenia Working Group of the Psychiatric Genomics Consortium, Wen Li, Chun Chieh Fan, Tuomo Mäki-Marttunen, Wesley K. Thompson, Andrew J. Schork, Francesco Bettella, Srdjan Djurovic, Anders M. Dale, Ole A. Andreassen, Yunpeng Wang

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

Traditional genome-wide association studies (GWAS) have successfully detected genetic variants associated with schizophrenia. However, only a small fraction of heritability can be explained. Gene-set/pathway-based methods can overcome limitations arising from single nucleotide polymorphism (SNP)-based analysis, but most of them place constraints on size which may exclude highly specific and functional sets, like macromolecules. Voltage-gated calcium (Ca v ) channels, belonging to macromolecules, are composed of several subunits whose encoding genes are located far away or even on different chromosomes. We combined information about such molecules with GWAS data to investigate how functional channels associated with schizophrenia. We defined a biologically meaningful SNP-set based on channel structure and performed an association study by using a validated method: SNP-set (sequence) kernel association test. We identified eight subtypes of Ca v channels significantly associated with schizophrenia from a subsample of published data (N = 56,605), including the L-type channels (Ca v 1.1, Ca v 1.2, Ca v 1.3), P-/Q-type Ca v 2.1, N-type Ca v 2.2, R-type Ca v 2.3, T-type Ca v 3.1, and Ca v 3.3. Only genes from Ca v 1.2 and Ca v 3.3 have been implicated by the largest GWAS (N = 82,315). Each subtype of Ca v channels showed relatively high chip heritability, proportional to the size of its constituent gene regions. The results suggest that abnormalities of Ca v channels may play an important role in the pathophysiology of schizophrenia and these channels may represent appropriate drug targets for therapeutics. Analyzing subunit-encoding genes of a macromolecule in aggregate is a complementary way to identify more genetic variants of polygenic diseases. This study offers the potential of power for discovery the biological mechanisms of schizophrenia.

Original languageEnglish
Pages (from-to)454-467
Number of pages14
JournalAmerican Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Volume177
Issue number4
DOIs
Publication statusPublished - 2018
Externally publishedYes
Publication typeA1 Journal article-refereed

Funding

EU funding (PsychDPC); Research Council of Norway, Grant/Award Number: RCN #223273, #251134; South East Norway Regional Health Authority, KG Jebsen Foundation, Grant/Award Number: SKGJ- MED-008 This work was supported by the EU funding (PsychDPC); Research Council of Norway [RCN #223273, #251134]; South East Norway Regional Health Authority; and KG Jebsen Foundation [SKGJ-MED-008].

Keywords

  • channels
  • molecule-based GWAS
  • schizophrenia
  • SKAT
  • SNP-sets

ASJC Scopus subject areas

  • Genetics(clinical)
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

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