Structural Variants and Implicated Processes Associated with Familial Tourette Syndrome

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  • Jakub P. Fichna
  • Chilinski, Mateusz
  • Anup Kumar Halder
  • Paweł Cięszczyk
  • Dariusz Plewczynski
  • Cezary Żekanowski
  • Piotr Janik
Gilles de la Tourette syndrome (GTS) is a neurodevelopmental psychiatric disorder with complex and elusive etiology with a significant role of genetic factors. The aim of this study was to identify structural variants that could be associated with familial GTS. The study group comprised 17 multiplex families with 80 patients. Structural variants were identified from whole-genome sequencing data and followed by co-segregation and bioinformatic analyses. The localization of these variants was used to select candidate genes and create gene sets, which were subsequently processed in gene ontology and pathway enrichment analysis. Seventy putative pathogenic variants shared among affected individuals within one family but not present in the control group were identified. Only four private or rare deletions were exonic in LDLRAD4, B2M, USH2A, and ZNF765 genes. Notably, the USH2A gene is involved in cochlear development and sensory perception of sound, a process that was associated previously with familial GTS. In addition, two rare variants and three not present in the control group were co-segregating with the disease in two families, and uncommon insertions in GOLM1 and DISC1 were co-segregating in three families each. Enrichment analysis showed that identified structural variants affected synaptic vesicle endocytosis, cell leading-edge organization, and signaling for neurite outgrowth. The results further support the involvement of the regulation of neurotransmission, neuronal migration, and sound-sensing in GTS.
OriginalsprogEngelsk
Artikelnummer5758
TidsskriftInternational Journal of Molecular Sciences
Vol/bind25
Udgave nummer11
Antal sider13
ISSN1661-6596
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
This research was funded by the National Science Center, Poland (NCN) project UMO-2016/23/B/NZ2/03030. DP, MC and AKH contribution was funded by Warsaw University of Technology within the Excellence Initiative: Research University (IDUB) programme. DP, AKH and MC work has been co-supported by Polish National Science Centre (2019/35/O/ST6/02484 and 2020/37/B/NZ2/03757). MC was co-supported by the Polish National Agency for Academic Exchange (PPN/STA/2021/1/00087/DEC/1). Computations were performed thanks to the Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology using Artificial Intelligence HPC platform financed by Polish Ministry of Science and Higher Education (decision no. 7054/IA/SP/2020 of 2020-08-28).

Publisher Copyright:
© 2024 by the authors.

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