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...

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Main Authors: Zhenwei Liu, Na Zhang, Yu Zhang, Yaoqiang Du, Tao Zhang, Zhongshan Li, Jinyu Wu, Xiaobing Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00349/full
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spelling doaj-a8a81ddfa0354254ac35572e6a3584842020-11-24T23:54:57ZengFrontiers Media S.A.Frontiers in Genetics1664-80212018-09-01910.3389/fgene.2018.00349402442Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain DevelopmentZhenwei Liu0Na Zhang1Yu Zhang2Yaoqiang Du3Tao Zhang4Zhongshan Li5Jinyu Wu6Xiaobing Wang7Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, ChinaDepartment of Rheumatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDissecting 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.https://www.frontiersin.org/article/10.3389/fgene.2018.00349/fullintellectual disabilityde novo mutationsbrain developmentgene prioritizationmolecular convergence
collection DOAJ
language English
format Article
sources DOAJ
author Zhenwei Liu
Na Zhang
Yu Zhang
Yaoqiang Du
Tao Zhang
Zhongshan Li
Jinyu Wu
Xiaobing Wang
spellingShingle Zhenwei Liu
Na Zhang
Yu Zhang
Yaoqiang Du
Tao Zhang
Zhongshan Li
Jinyu Wu
Xiaobing Wang
Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development
Frontiers in Genetics
intellectual disability
de novo mutations
brain development
gene prioritization
molecular convergence
author_facet Zhenwei Liu
Na Zhang
Yu Zhang
Yaoqiang Du
Tao Zhang
Zhongshan Li
Jinyu Wu
Xiaobing Wang
author_sort Zhenwei Liu
title 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_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_sort prioritized high-confidence risk genes for intellectual disability reveal molecular convergence during brain development
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2018-09-01
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.
topic intellectual disability
de novo mutations
brain development
gene prioritization
molecular convergence
url https://www.frontiersin.org/article/10.3389/fgene.2018.00349/full
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