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-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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Publication Details

Journal
Behavioral and Brain Functions
Published
2025-06-07
DOI
https://doi.org/10.1186/s12993-025-00278-x
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43

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article

Unraveling genetic risk contributions to nonverbal status in autism spectrum disorder probands

Junfang Chen, Suhua Chang, Wen‐Xiong Chen, Jijun Zhu et al.
1 citations
Behavioral and Brain Functions
Autism Spectrum Disorder Research
1.43
article

Unraveling genetic risk contributions to nonverbal status in autism spectrum disorder probands

Junfang Chen, Suhua Chang, Wen‐Xiong Chen, Jijun Zhu, Binbin Cao, Fuqiang Cai, Zhifang Huang, Shunjie Zhang, Huan Liu, Xian Liu, Ying‐Yeh Chen, Yuxin Liu, Weixin Liu, Jing Yu, Shenghan Wang, Tao Pang, Li Pan, Long Lv, Zhijian Song, Zhongting Huang
article en
1 citations

Abstract

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.

Behavioral and Brain FunctionsVol. 21(1)
Peking University (CN), Fudan University (CN), Guangzhou Women and Children Medical Center (CN), Peking University Sixth Hospital (CN), South China University of Technology (CN), Guangzhou Medical University (CN)
Natural Science Foundation of Guangdong Province, Guangzhou Municipal Science and Technology Project, National Social Science Fund of China
Gender equality
Openalex Percentile: Top 19%
Autism Spectrum Disorder Research
1.43
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