4.8 Article

Schizophrenia risk variants influence multiple classes of transcripts of sorting nexin 19 (SNX19)

Journal

MOLECULAR PSYCHIATRY
Volume 25, Issue 4, Pages 831-843

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41380-018-0293-0

Keywords

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Funding

  1. Lieber Institute for Brain Development and the Maltz Research Laboratories
  2. AstraZeneca
  3. Distinguished Investigator Award (2014) from the Brain Behavior Research Foundation (NARSAD)
  4. Common Fund of the Office of the Director of the US National Institutes of Health
  5. NCI
  6. NHGRI
  7. NHLBI
  8. NIDA
  9. NIMH
  10. NINDS
  11. NCI/SAIC-Frederick, Inc. (SAIC-F) [10XS170, 10XS171, X10S172]
  12. SAIC-F subcontract [10ST1035]
  13. SAIC-F [HHSN261200800001E]
  14. Takeda Pharmaceuticals Company Limited
  15. F. Hoffman-La Roche, Ltd.
  16. NIH [R01MH085542, R01MH093725, P50MH066392, P50MH080405, R01MH097276, RO1-MH-075916, P50M096891, P50MH084053S1, R37MH057881, R37MH057881S1, HHSN271201300031C, AG02219, AG05138, MH06692]
  17. [HHSN268201000029C]
  18. [DA006227]
  19. [DA033684]
  20. [N01MH000028]
  21. [MH090941]
  22. [MH101814]
  23. [MH090951]
  24. [MH090937]
  25. [MH101820]
  26. [MH101825]
  27. [MH090936]
  28. [MH101819]
  29. [MH090948]
  30. [MH101782]
  31. [MH101810]
  32. [MH101822]

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Genome-wide association studies (GWAS) have identified many genomic loci associated with risk for schizophrenia, but unambiguous identification of the relationship between disease-associated variants and specific genes, and in particular their effect on risk conferring transcripts, has proven difficult. To better understand the specific molecular mechanism(s) at the schizophrenia locus in 11q25, we undertook cis expression quantitative trait loci (cis-eQTL) mapping for this 2 megabase genomic region using postmortem human brain samples. To comprehensively assess the effects of genetic risk upon local expression, we evaluated multiple transcript features: genes, exons, and exon-exon junctions in multiple brain regions-dorsolateral prefrontal cortex (DLPFC), hippocampus, and caudate. Genetic risk variants strongly associated with expression of SNX19 transcript features that tag multiple rare classes of SNX19 transcripts, whereas they only weakly affected expression of an exon-exon junction that tags the majority of abundant transcripts. The most prominent class of SNX19 risk-associated transcripts is predicted to be overexpressed, defined by an exon-exon splice junction between exons 8 and 10 (junc8.10) and that is predicted to encode proteins that lack the characteristic nexin C terminal domain. Risk alleles were also associated with either increased or decreased expression of multiple additional classes of transcripts. With RACE, molecular cloning, and long read sequencing, we found a number of novel SNX19 transcripts that further define the set of potential etiological transcripts. We explored epigenetic regulation of SNX19 expression and found that DNA methylation at CpG sites near the primary transcription start site and within exon 2 partially mediate the effects of risk variants on risk-associated expression. ATAC sequencing revealed that some of the most strongly risk-associated SNPs are located within a region of open chromatin, suggesting a nearby regulatory element is involved. These findings indicate a potentially complex molecular etiology, in which risk alleles for schizophrenia generate epigenetic alterations and dysregulation of multiple classes of SNX19 transcripts.

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