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Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia

Author

Listed:
  • Matthew Halvorsen

    (University of North Carolina)

  • Ruth Huh

    (University of North Carolina)

  • Nikolay Oskolkov

    (Lund University)

  • Jia Wen

    (University of North Carolina)

  • Sergiu Netotea

    (Chalmers University of Technology)

  • Paola Giusti-Rodriguez

    (University of North Carolina)

  • Robert Karlsson

    (Karolinska Institutet)

  • Julien Bryois

    (Karolinska Institutet)

  • Björn Nystedt

    (Uppsala University)

  • Adam Ameur

    (Uppsala University)

  • Anna K. Kähler

    (Karolinska Institutet)

  • NaEshia Ancalade

    (University of North Carolina)

  • Martilias Farrell

    (University of North Carolina)

  • James J. Crowley

    (University of North Carolina
    University of North Carolina
    Karolinska Institutet)

  • Yun Li

    (University of North Carolina
    University of North Carolina)

  • Patrik K. E. Magnusson

    (Karolinska Institutet)

  • Ulf Gyllensten

    (Uppsala University)

  • Christina M. Hultman

    (Karolinska Institutet)

  • Patrick F. Sullivan

    (University of North Carolina
    Karolinska Institutet
    University of North Carolina)

  • Jin P. Szatkiewicz

    (University of North Carolina
    University of North Carolina)

Abstract

Despite considerable progress in schizophrenia genetics, most findings have been for large rare structural variants and common variants in well-imputed regions with few genes implicated from exome sequencing. Whole genome sequencing (WGS) can potentially provide a more complete enumeration of etiological genetic variation apart from the exome and regions of high linkage disequilibrium. We analyze high-coverage WGS data from 1162 Swedish schizophrenia cases and 936 ancestry-matched population controls. Our main objective is to evaluate the contribution to schizophrenia etiology from a variety of genetic variants accessible to WGS but not by previous technologies. Our results suggest that ultra-rare structural variants that affect the boundaries of topologically associated domains (TADs) increase risk for schizophrenia. Alterations in TAD boundaries may lead to dysregulation of gene expression. Future mechanistic studies will be needed to determine the precise functional effects of these variants on biology.

Suggested Citation

  • Matthew Halvorsen & Ruth Huh & Nikolay Oskolkov & Jia Wen & Sergiu Netotea & Paola Giusti-Rodriguez & Robert Karlsson & Julien Bryois & Björn Nystedt & Adam Ameur & Anna K. Kähler & NaEshia Ancalade &, 2020. "Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15707-w
    DOI: 10.1038/s41467-020-15707-w
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    Cited by:

    1. Shuyang Yao & Arvid Harder & Fahimeh Darki & Yu-Wei Chang & Ang Li & Kasra Nikouei & Giovanni Volpe & Johan N. Lundström & Jian Zeng & Naomi R. Wray & Yi Lu & Patrick F. Sullivan & Jens Hjerling-Leffl, 2025. "Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity," Nature Communications, Nature, vol. 16(1), pages 1-18, December.

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