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

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, Martilias Farrell, James J. Crowley, Yun Li, Patrik K. E. Magnusson, Ulf Gyllensten, Christina M. Hultman, Patrick F. Sullivan () and Jin P. Szatkiewicz ()
Additional contact information
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
Yun Li: 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
Jin P. Szatkiewicz: University of North Carolina

Nature Communications, 2020, vol. 11, issue 1, 1-13

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-15707-w

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