ArticleNeuroscience bulletin2022
Association of CDH11 with Autism Spectrum Disorder Revealed by Matched-gene Co-expression Analysis and Mouse Behavioral Studies.
Article in Neuroscience bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Cadherin 11 regulates presynaptic vesicle trafficking and neuronal activity in autism-related brain circuit.Molecular psychiatry · 2026Article
- Regulation of cortical neurogenesis by MED13L via transcriptional priming and its implications for MED13L syndrome.Communications biology · 2025Article
- Molecular pathogenesis of Alzheimer's disease onset in a mouse model: effects of cannabidiol treatment.Frontiers in neuroscience · 2025Article
- Cdh11: Roles in different diseases and potential value in disease diagnosis and treatment.Biochemistry and biophysics reports · 2023Review
- Gene editing in monogenic autism spectrum disorder: animal models and gene therapies.Frontiers in molecular neuroscience · 2022Review
- Genetic ablation of metabotropic glutamate receptor 5 in rats results in an autism-like behavioral phenotype.PloS one · 2022Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A large number of putative risk genes for autism spectrum disorder (ASD) have been reported. The functions of most of these susceptibility genes in developing brains remain unknown, and causal relationships between their variation and autism traits have not been established. The aim of this study was to predict putative risk genes at the whole-genome level based on the analysis of gene co-expression with a group of high-confidence ASD risk genes (hcASDs). The results showed that three gene features - gene size, mRNA abundance, and guanine-cytosine content - affect the genome-wide co-expression profiles of hcASDs. To circumvent the interference of these features in gene co-expression analysis, we developed a method to determine whether a gene is significantly co-expressed with hcASDs by statistically comparing the co-expression profile of this gene with hcASDs to that of this gene with permuted gene sets of feature-matched genes. This method is referred to as "matched-gene co-expression analysis" (MGCA). With MGCA, we demonstrated the convergence in developmental expression profiles of hcASDs and improved the efficacy of risk gene prediction. The results of analysis of two recently-reported ASD candidate genes, CDH11 and CDH9, suggested the involvement of CDH11, but not CDH9, in ASD. Consistent with this prediction, behavioral studies showed that Cdh11-null mice, but not Cdh9-null mice, have multiple autism-like behavioral alterations. This study highlights the power of MGCA in revealing ASD-associated genes and the potential role of CDH11 in ASD.
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