Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia
Artikel i vetenskaplig tidskrift, 2020

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.

Författare

Matthew Halvorsen

The University of North Carolina System

Ruth Huh

The University of North Carolina System

Nikolay Oskolkov

Lunds universitet

Jia Wen

The University of North Carolina System

Sergiu Netotea

Chalmers, Biologi och bioteknik, Systembiologi

Paola Giusti-Rodriguez

The University of North Carolina System

Robert Karlsson

Karolinska Institutet

Julien Bryois

Karolinska Institutet

Björn Nystedt

Uppsala universitet

Adam Ameur

Uppsala universitet

Anna K. Kähler

Karolinska Institutet

Na Eshia Ancalade

The University of North Carolina System

Martilias Farrell

The University of North Carolina System

James J. Crowley

The University of North Carolina System

Karolinska Institutet

Yun Li

The University of North Carolina System

Patrik K.E. Magnusson

Karolinska Institutet

Ulf Gyllensten

Uppsala universitet

Christina M. Hultman

Karolinska Institutet

Patrick F. Sullivan

The University of North Carolina System

Karolinska Institutet

Jin P. Szatkiewicz

The University of North Carolina System

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 11 1 1842- 1842

Ämneskategorier

Medicinsk genetik

Bioinformatik och systembiologi

Genetik

DOI

10.1038/s41467-020-15707-w

PubMed

32296054

Mer information

Senast uppdaterat

2024-03-06