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Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder
Journal article   Open access   Peer reviewed

Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder

Ryan K C Yuen, Daniele Merico, Matt Bookman, Jennifer L Howe, Bhooma Thiruvahindrapuram, Rohan V Patel, Joe Whitney, Nicole Deflaux, Jonathan Bingham, Zhuozhi Wang, …
Nature neuroscience, v 20(4), pp 602-611
01 Apr 2017
PMID: 28263302
url
https://europepmc.org/articles/pmc5501701View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Autism Spectrum Disorder - genetics Chromosome Aberrations Databases, Genetic DNA Copy Number Variations Genetic Predisposition to Disease - genetics Genome-Wide Association Study - methods Humans Mutagenesis, Insertional - genetics Polymorphism, Single Nucleotide - genetics Sequence Deletion - genetics ESI Highly Cited Paper (Incites) Phenotype
We are performing whole-genome sequencing of families with autism spectrum disorder (ASD) to build a resource (MSSNG) for subcategorizing the phenotypes and underlying genetic factors involved. Here we report sequencing of 5,205 samples from families with ASD, accompanied by clinical information, creating a database accessible on a cloud platform and through a controlled-access internet portal. We found an average of 73.8 de novo single nucleotide variants and 12.6 de novo insertions and deletions or copy number variations per ASD subject. We identified 18 new candidate ASD-risk genes and found that participants bearing mutations in susceptibility genes had significantly lower adaptive ability (P = 6 × 10 ). In 294 of 2,620 (11.2%) of ASD cases, a molecular basis could be determined and 7.2% of these carried copy number variations and/or chromosomal abnormalities, emphasizing the importance of detecting all forms of genetic variation as diagnostic and therapeutic targets in ASD.

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Web of Science research areas
Neurosciences
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