Unraveling genetic risk contributions to nonverbal status in autism spectrum disorder probands
Autism spectrum disorder (ASD) presents a wide range of cognitive and language impairments. In this study, we investigated the genetic basis of non-verbal status in ASD using a comprehensive genomic approach. We identified a novel common variant, rs1944180 in CNTN5, significantly associated with non...
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Published in | Behavioral and brain functions Vol. 21; no. 1; pp. 15 - 11 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central
07.06.2025
BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1744-9081 1744-9081 |
DOI | 10.1186/s12993-025-00278-x |
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Summary: | Autism spectrum disorder (ASD) presents a wide range of cognitive and language impairments. In this study, we investigated the genetic basis of non-verbal status in ASD using a comprehensive genomic approach. We identified a novel common variant, rs1944180 in CNTN5, significantly associated with non-verbal status through family-based Transmission Disequilibrium Testing. Polygenic risk score (PRS) analysis further showed that higher ASD PRS was significantly linked to non-verbal status (p = 0.034), specific to ASD and not related to other conditions such as bipolar disorder, schizophrenia and three language-related traits. Using structural equation modeling (SEM), we found two causal SNPs, rs1247761 located in KCNMA1 and rs2524290 in RAB3IL1, linking ASD with language traits. The model indicated a unidirectional effect, with ASD driving language impairments. Additionally, de novo mutations (DNMs) were found to be related with ASD and interaction between common variants and DNMs significantly impacted non-verbal status (p = 0.038). Our findings also identified 5 high-risk ASD genes, and DNMs were enriched in glycosylation-related pathways. These results offer new insights into the genetic mechanisms underlying language deficits in ASD. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1744-9081 1744-9081 |
DOI: | 10.1186/s12993-025-00278-x |