Abstract

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. Although next-generation sequencing (NGS) technologies have been successfully applied to gene identification in de novo ASD, the genetic architecture of familial ASD remains largely unexplored. Our approach, which leverages the high specificity and sensitivity of NGS technology, has focused on rare variants in familial autism. We used NGS exome sequencing in 26 families with distantly related affected individuals to identify genes with private gene disrupting and missense variants of interest (VOI). We found that the genes carrying VOIs were enriched for biological processes related to cell projection organization and neuron development, which is consistent with the neurodevelopmental hypothesis of ASD. For a subset of genes carrying VOIs, we then used targeted NGS sequencing and gene-based variant burden case-control analysis to test for association with ASD. Missense variants in one gene, CEP41, associated significantly with ASD (p = 6.185e−05). Homozygous gene-disrupting variants in CEP41 were initially found to be responsible for recessive Joubert syndrome. Using a zebrafish model, we evaluated the mechanism by which the CEP41 variants might contribute to ASD. We found that CEP41 missense variants affect development of the axonal tract, cranial neural crest migration and social behavior phenotype. Our work demonstrates the involvement of CEP41 heterozygous missense variants in ASD and that biological processes involved in cell projection organization and neuron development are enriched in ASD families we have studied.

Details

Title
Family-based exome sequencing and case-control analysis implicate CEP41 as an ASD gene
Author
Patowary Ashok 1   VIAFID ORCID Logo  ; Won, So Yeon 2 ; Oh Shin Ji 2 ; Nesbitt, Ryan R 1 ; Archer, Marilyn 1 ; Nickerson, Debbie 3 ; Raskind, Wendy H 4 ; Bernier, Raphael 1 ; Lee, Ji Eun 5 ; Brkanac Zoran 1 

 University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 Sungkyunkwan University, Department of Health Sciences and Technology, SAIHST, Seoul, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
 University of Washington, Department of Genome Sciences, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) ; University of Washington, Department of Medicine, Division of Medical Genetics, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 Sungkyunkwan University, Department of Health Sciences and Technology, SAIHST, Seoul, Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) ; Samsung Medical Center, Division of Medical Science Research, Seoul, Korea (GRID:grid.414964.a) (ISNI:0000 0001 0640 5613) 
Publication year
2019
Publication date
Jan 2019
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2169285458
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.