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Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders
The clinical similarity among different neuropsychiatric disorders (NPDs) suggested a shared genetic basis. We catalogued 23,109 coding de novo mutations (DNMs) from 6511 patients with autism spectrum disorder (ASD), 4,293 undiagnosed developmental disorder (UDD), 933 epileptic encephalopathy (EE),...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854168/ https://www.ncbi.nlm.nih.gov/pubmed/33970367 http://dx.doi.org/10.1007/s10803-021-05031-7 |
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author | Li, Kuokuo Fang, Zhenghuan Zhao, Guihu Li, Bin Chen, Chao Xia, Lu Wang, Lin Luo, Tengfei Wang, Xiaomeng Wang, Zheng Zhang, Yi Jiang, Yi Pan, Qian Hu, Zhengmao Guo, Hui Tang, Beisha Liu, Chunyu Sun, Zhongsheng Xia, Kun Li, Jinchen |
author_facet | Li, Kuokuo Fang, Zhenghuan Zhao, Guihu Li, Bin Chen, Chao Xia, Lu Wang, Lin Luo, Tengfei Wang, Xiaomeng Wang, Zheng Zhang, Yi Jiang, Yi Pan, Qian Hu, Zhengmao Guo, Hui Tang, Beisha Liu, Chunyu Sun, Zhongsheng Xia, Kun Li, Jinchen |
author_sort | Li, Kuokuo |
collection | PubMed |
description | The clinical similarity among different neuropsychiatric disorders (NPDs) suggested a shared genetic basis. We catalogued 23,109 coding de novo mutations (DNMs) from 6511 patients with autism spectrum disorder (ASD), 4,293 undiagnosed developmental disorder (UDD), 933 epileptic encephalopathy (EE), 1022 intellectual disability (ID), 1094 schizophrenia (SCZ), and 3391 controls. We evaluated that putative functional DNMs contribute to 38.11%, 34.40%, 33.31%, 10.98% and 6.91% of patients with ID, EE, UDD, ASD and SCZ, respectively. Consistent with phenotype similarity and heterogeneity in different NPDs, they show different degree of genetic association. Cross-disorder analysis of DNMs prioritized 321 candidate genes (FDR < 0.05) and showed that genes shared in more disorders were more likely to exhibited specific expression pattern, functional pathway, genetic convergence, and genetic intolerance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10803-021-05031-7. |
format | Online Article Text |
id | pubmed-8854168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88541682022-02-23 Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders Li, Kuokuo Fang, Zhenghuan Zhao, Guihu Li, Bin Chen, Chao Xia, Lu Wang, Lin Luo, Tengfei Wang, Xiaomeng Wang, Zheng Zhang, Yi Jiang, Yi Pan, Qian Hu, Zhengmao Guo, Hui Tang, Beisha Liu, Chunyu Sun, Zhongsheng Xia, Kun Li, Jinchen J Autism Dev Disord Original Paper The clinical similarity among different neuropsychiatric disorders (NPDs) suggested a shared genetic basis. We catalogued 23,109 coding de novo mutations (DNMs) from 6511 patients with autism spectrum disorder (ASD), 4,293 undiagnosed developmental disorder (UDD), 933 epileptic encephalopathy (EE), 1022 intellectual disability (ID), 1094 schizophrenia (SCZ), and 3391 controls. We evaluated that putative functional DNMs contribute to 38.11%, 34.40%, 33.31%, 10.98% and 6.91% of patients with ID, EE, UDD, ASD and SCZ, respectively. Consistent with phenotype similarity and heterogeneity in different NPDs, they show different degree of genetic association. Cross-disorder analysis of DNMs prioritized 321 candidate genes (FDR < 0.05) and showed that genes shared in more disorders were more likely to exhibited specific expression pattern, functional pathway, genetic convergence, and genetic intolerance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10803-021-05031-7. Springer US 2021-05-10 2022 /pmc/articles/PMC8854168/ /pubmed/33970367 http://dx.doi.org/10.1007/s10803-021-05031-7 Text en © The Author(s) 2021 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/) . |
spellingShingle | Original Paper Li, Kuokuo Fang, Zhenghuan Zhao, Guihu Li, Bin Chen, Chao Xia, Lu Wang, Lin Luo, Tengfei Wang, Xiaomeng Wang, Zheng Zhang, Yi Jiang, Yi Pan, Qian Hu, Zhengmao Guo, Hui Tang, Beisha Liu, Chunyu Sun, Zhongsheng Xia, Kun Li, Jinchen Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders |
title | Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders |
title_full | Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders |
title_fullStr | Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders |
title_full_unstemmed | Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders |
title_short | Cross-Disorder Analysis of De Novo Mutations in Neuropsychiatric Disorders |
title_sort | cross-disorder analysis of de novo mutations in neuropsychiatric disorders |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854168/ https://www.ncbi.nlm.nih.gov/pubmed/33970367 http://dx.doi.org/10.1007/s10803-021-05031-7 |
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