10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Prioritized High-Confidence Risk Genes for Intellectual Disability Reveal Molecular Convergence During Brain Development

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references39

          • Record: found
          • Abstract: found
          • Article: not found

          Meta-analysis of 2,104 trios provides support for 10 new genes for intellectual disability.

          To identify candidate genes for intellectual disability, we performed a meta-analysis on 2,637 de novo mutations, identified from the exomes of 2,104 patient-parent trios. Statistical analyses identified 10 new candidate ID genes: DLG4, PPM1D, RAC1, SMAD6, SON, SOX5, SYNCRIP, TCF20, TLK2 and TRIP12. In addition, we show that these genes are intolerant to nonsynonymous variation and that mutations in these genes are associated with specific clinical ID phenotypes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders.

            Genetic and genomic approaches have implicated hundreds of genetic loci in neurodevelopmental disorders and neurodegeneration, but mechanistic understanding continues to lag behind the pace of gene discovery. Understanding the role of specific genetic variants in the brain involves dissecting a functional hierarchy that encompasses molecular pathways, diverse cell types, neural circuits and, ultimately, cognition and behaviour. With a focus on transcriptomics, this Review discusses how high-throughput molecular, integrative and network approaches inform disease biology by placing human genetics in a molecular systems and neurobiological context. We provide a framework for interpreting network biology studies and leveraging big genomics data sets in neurobiology.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genome-wide patterns and properties of de novo mutations in humans

              Mutations create variation in the population, fuel evolution, and cause genetic diseases. Current knowledge about de novo mutations is incomplete and mostly indirect 1–10 . Here, we analyze 11,020 de novo mutations from whole-genomes of 250 families. We show that de novo mutations in offspring of older fathers are not only more numerous 11–13 but also occur more frequently in early-replicating, genic regions. Functional regions exhibit higher mutation rates due to CpG dinucleotides and reveal signatures of transcription-coupled repair, while mutation clusters with a unique signature point to a novel mutational mechanism. Mutation and recombination rates independently associate with nucleotide diversity, and regional variation in human-chimpanzee divergence is only partly explained by mutation rate heterogeneity. Finally, we provide a genome-wide mutation rate map for medical and population genetics applications. Our results reveal novel insights and refine long-standing hypotheses about human mutagenesis.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                18 September 2018
                2018
                : 9
                : 349
                Affiliations
                [1] 1Institute of Genomic Medicine, Wenzhou Medical University , Wenzhou, China
                [2] 2Department of Rheumatology, The First Affiliated Hospital of Wenzhou Medical University , Wenzhou, China
                Author notes

                Edited by: Cunyou Zhao, Southern Medical University, China

                Reviewed by: Thomas V. Fernandez, Yale University, United States; Fangqing Zhao, Beijing Institutes of Life Science (CAS), China

                These authors have contributed equally to this work

                This article was submitted to Behavioral and Psychiatric Genetics, a section of the journal Frontiers in Genetics

                Article
                10.3389/fgene.2018.00349
                6153320
                30279698
                adb32449-c196-41d0-869c-9d094899715f
                Copyright © 2018 Liu, Zhang, Zhang, Du, Zhang, Li, Wu and Wang.

                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.

                History
                : 31 May 2018
                : 09 August 2018
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 68, Pages: 11, Words: 0
                Funding
                Funded by: Natural Science Foundation of Zhejiang Province 10.13039/501100004731
                Award ID: LY18C060007
                Categories
                Genetics
                Original Research

                Genetics
                intellectual disability,de novo mutations,brain development,gene prioritization,molecular convergence

                Comments

                Comment on this article