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De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability

BACKGROUND: Autism spectrum disorder (ASD) is often accompanied by intellectual disability (ID). Despite extensive studies, however, the genetic basis for this comorbidity is still not clear. In this study, we tried to develop an analyzing pipeline for de novo mutations and possible pathways related...

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Autores principales: Chen, Wen-Xiong, Liu, Bin, Zhou, Lijie, Xiong, Xiaoli, Fu, Jie, Huang, Zhi-Fang, Tan, Ting, Tang, Mingxi, Wang, Jun, Tang, Ya-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623983/
https://www.ncbi.nlm.nih.gov/pubmed/36320054
http://dx.doi.org/10.1186/s40246-022-00427-7
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author Chen, Wen-Xiong
Liu, Bin
Zhou, Lijie
Xiong, Xiaoli
Fu, Jie
Huang, Zhi-Fang
Tan, Ting
Tang, Mingxi
Wang, Jun
Tang, Ya-Ping
author_facet Chen, Wen-Xiong
Liu, Bin
Zhou, Lijie
Xiong, Xiaoli
Fu, Jie
Huang, Zhi-Fang
Tan, Ting
Tang, Mingxi
Wang, Jun
Tang, Ya-Ping
author_sort Chen, Wen-Xiong
collection PubMed
description BACKGROUND: Autism spectrum disorder (ASD) is often accompanied by intellectual disability (ID). Despite extensive studies, however, the genetic basis for this comorbidity is still not clear. In this study, we tried to develop an analyzing pipeline for de novo mutations and possible pathways related to ID phenotype in ASD. Whole-exome sequencing (WES) was performed to screen de novo mutations and candidate genes in 79 ASD children together with their parents (trios). The de novo altering genes and relative pathways which were associated with ID phenotype were analyzed. The connection nodes (genes) of above pathways were selected, and the diagnostic value of these selected genes for ID phenotype in the study population was also evaluated. RESULTS: We identified 89 de novo mutant genes, of which 34 genes were previously reported to be associated with ASD, including double hits in the EGF repeats of NOTCH1 gene (p.V999M and p.S1027L). Interestingly, of these 34 genes, 22 may directly affect intelligence quotient (IQ). Further analyses revealed that these IQ-related genes were enriched in protein synthesis, energy metabolism, and amino acid metabolism, and at least 9 genes (CACNA1A, ALG9, PALM2, MGAT4A, PCK2, PLEKHA1, PSME3, ADI1, and TLE3) were involved in all these three pathways. Seven patients who harbored these gene mutations showed a high prevalence of a low IQ score (< 70), a non-verbal language, and an early diagnostic age (< 4 years). Furthermore, our panel of these 9 genes reached a 10.2% diagnostic rate (5/49) in early diagnostic patients with a low IQ score and also reached a 10% diagnostic yield in those with both a low IQ score and non-verbal language (4/40). CONCLUSION: We found some new genetic disposition for ASD accompanied with intellectual disability in this study. Our results may be helpful for etiologic research and early diagnoses of intellectual disability in ASD. Larger population studies and further mechanism studies are warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00427-7.
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spelling pubmed-96239832022-11-02 De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability Chen, Wen-Xiong Liu, Bin Zhou, Lijie Xiong, Xiaoli Fu, Jie Huang, Zhi-Fang Tan, Ting Tang, Mingxi Wang, Jun Tang, Ya-Ping Hum Genomics Research BACKGROUND: Autism spectrum disorder (ASD) is often accompanied by intellectual disability (ID). Despite extensive studies, however, the genetic basis for this comorbidity is still not clear. In this study, we tried to develop an analyzing pipeline for de novo mutations and possible pathways related to ID phenotype in ASD. Whole-exome sequencing (WES) was performed to screen de novo mutations and candidate genes in 79 ASD children together with their parents (trios). The de novo altering genes and relative pathways which were associated with ID phenotype were analyzed. The connection nodes (genes) of above pathways were selected, and the diagnostic value of these selected genes for ID phenotype in the study population was also evaluated. RESULTS: We identified 89 de novo mutant genes, of which 34 genes were previously reported to be associated with ASD, including double hits in the EGF repeats of NOTCH1 gene (p.V999M and p.S1027L). Interestingly, of these 34 genes, 22 may directly affect intelligence quotient (IQ). Further analyses revealed that these IQ-related genes were enriched in protein synthesis, energy metabolism, and amino acid metabolism, and at least 9 genes (CACNA1A, ALG9, PALM2, MGAT4A, PCK2, PLEKHA1, PSME3, ADI1, and TLE3) were involved in all these three pathways. Seven patients who harbored these gene mutations showed a high prevalence of a low IQ score (< 70), a non-verbal language, and an early diagnostic age (< 4 years). Furthermore, our panel of these 9 genes reached a 10.2% diagnostic rate (5/49) in early diagnostic patients with a low IQ score and also reached a 10% diagnostic yield in those with both a low IQ score and non-verbal language (4/40). CONCLUSION: We found some new genetic disposition for ASD accompanied with intellectual disability in this study. Our results may be helpful for etiologic research and early diagnoses of intellectual disability in ASD. Larger population studies and further mechanism studies are warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00427-7. BioMed Central 2022-11-01 /pmc/articles/PMC9623983/ /pubmed/36320054 http://dx.doi.org/10.1186/s40246-022-00427-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Wen-Xiong
Liu, Bin
Zhou, Lijie
Xiong, Xiaoli
Fu, Jie
Huang, Zhi-Fang
Tan, Ting
Tang, Mingxi
Wang, Jun
Tang, Ya-Ping
De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
title De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
title_full De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
title_fullStr De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
title_full_unstemmed De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
title_short De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
title_sort de novo mutations within metabolism networks of amino acid/protein/energy in chinese autistic children with intellectual disability
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623983/
https://www.ncbi.nlm.nih.gov/pubmed/36320054
http://dx.doi.org/10.1186/s40246-022-00427-7
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