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Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development
Dissecting the genetic susceptibility to intellectual disability (ID) based on de novo mutations (DNMs) will aid our understanding of the neurobiological and genetic basis of ID. In this study, we identify 63 high-confidence ID genes with q-values < 0.1 based on four background DNM rates and codi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153320/ https://www.ncbi.nlm.nih.gov/pubmed/30279698 http://dx.doi.org/10.3389/fgene.2018.00349 |
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author | Liu, Zhenwei Zhang, Na Zhang, Yu Du, Yaoqiang Zhang, Tao Li, Zhongshan Wu, Jinyu Wang, Xiaobing |
author_facet | Liu, Zhenwei Zhang, Na Zhang, Yu Du, Yaoqiang Zhang, Tao Li, Zhongshan Wu, Jinyu Wang, Xiaobing |
author_sort | Liu, Zhenwei |
collection | PubMed |
description | Dissecting the genetic susceptibility to intellectual disability (ID) based on de novo mutations (DNMs) will aid our understanding of the neurobiological and genetic basis of ID. In this study, we identify 63 high-confidence ID genes with q-values < 0.1 based on four background DNM rates and coding DNM data sets from multiple sequencing cohorts. Bioinformatic annotations revealed a higher burden of these 63 ID genes in FMRP targets and CHD8 targets, and these genes show evolutionary constraint against functional genetic variation. Moreover, these ID risk genes were preferentially expressed in the cortical regions from the early fetal to late mid-fetal stages. In particular, a genome-wide weighted co-expression network analysis suggested that ID genes tightly converge onto two biological modules (M1 and M2) during human brain development. Functional annotations showed specific enrichment of chromatin modification and transcriptional regulation for M1 and synaptic function for M2, implying the divergent etiology of the two modules. In addition, we curated 12 additional strong ID risk genes whose molecular interconnectivity with known ID genes (q-values < 0.3) was greater than random. These findings further highlight the biological convergence of ID risk genes and help improve our understanding of the genetic architecture of ID. |
format | Online Article Text |
id | pubmed-6153320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61533202018-10-02 Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development Liu, Zhenwei Zhang, Na Zhang, Yu Du, Yaoqiang Zhang, Tao Li, Zhongshan Wu, Jinyu Wang, Xiaobing Front Genet Genetics Dissecting the genetic susceptibility to intellectual disability (ID) based on de novo mutations (DNMs) will aid our understanding of the neurobiological and genetic basis of ID. In this study, we identify 63 high-confidence ID genes with q-values < 0.1 based on four background DNM rates and coding DNM data sets from multiple sequencing cohorts. Bioinformatic annotations revealed a higher burden of these 63 ID genes in FMRP targets and CHD8 targets, and these genes show evolutionary constraint against functional genetic variation. Moreover, these ID risk genes were preferentially expressed in the cortical regions from the early fetal to late mid-fetal stages. In particular, a genome-wide weighted co-expression network analysis suggested that ID genes tightly converge onto two biological modules (M1 and M2) during human brain development. Functional annotations showed specific enrichment of chromatin modification and transcriptional regulation for M1 and synaptic function for M2, implying the divergent etiology of the two modules. In addition, we curated 12 additional strong ID risk genes whose molecular interconnectivity with known ID genes (q-values < 0.3) was greater than random. These findings further highlight the biological convergence of ID risk genes and help improve our understanding of the genetic architecture of ID. Frontiers Media S.A. 2018-09-18 /pmc/articles/PMC6153320/ /pubmed/30279698 http://dx.doi.org/10.3389/fgene.2018.00349 Text en Copyright © 2018 Liu, Zhang, Zhang, Du, Zhang, Li, Wu and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Liu, Zhenwei Zhang, Na Zhang, Yu Du, Yaoqiang Zhang, Tao Li, Zhongshan Wu, Jinyu Wang, Xiaobing Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development |
title | Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development |
title_full | Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development |
title_fullStr | Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development |
title_full_unstemmed | Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development |
title_short | Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development |
title_sort | prioritized high-confidence risk genes for intellectual disability reveal molecular convergence during brain development |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153320/ https://www.ncbi.nlm.nih.gov/pubmed/30279698 http://dx.doi.org/10.3389/fgene.2018.00349 |
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