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Association of CDH11 with Autism Spectrum Disorder Revealed by Matched-gene Co-expression Analysis and Mouse Behavioral Studies.
Wu, Nan; Wang, Yue; Jia, Jing-Yan; Pan, Yi-Hsuan; Yuan, Xiao-Bing.
Afiliación
  • Wu N; Key Laboratory of Brain Functional Genomics of Shanghai and the Ministry of Education, Institute of Brain Functional Genomics, School of Life Science and the Collaborative Innovation Center for Brain Science, East China Normal University, Shanghai, 200062, China.
  • Wang Y; Hussman Institute for Autism, Baltimore, 21201, USA.
  • Jia JY; Key Laboratory of Brain Functional Genomics of Shanghai and the Ministry of Education, Institute of Brain Functional Genomics, School of Life Science and the Collaborative Innovation Center for Brain Science, East China Normal University, Shanghai, 200062, China.
  • Pan YH; Key Laboratory of Brain Functional Genomics of Shanghai and the Ministry of Education, Institute of Brain Functional Genomics, School of Life Science and the Collaborative Innovation Center for Brain Science, East China Normal University, Shanghai, 200062, China. yihsuanp@gmail.com.
  • Yuan XB; Key Laboratory of Brain Functional Genomics of Shanghai and the Ministry of Education, Institute of Brain Functional Genomics, School of Life Science and the Collaborative Innovation Center for Brain Science, East China Normal University, Shanghai, 200062, China. xbyuan@brain.ecnu.edu.cn.
Neurosci Bull ; 38(1): 29-46, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34523068
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cadherinas / Trastorno del Espectro Autista Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Neurosci Bull Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cadherinas / Trastorno del Espectro Autista Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Neurosci Bull Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China
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