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Systematic reconstruction of autism biology from massive genetic mutation profiles
Autism spectrum disorder (ASD) affects 1% of world population and has become a pressing medical and social problem worldwide. As a paradigmatic complex genetic disease, ASD has been intensively studied and thousands of gene mutations have been reported. Because these mutations rarely recur, it is di...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895441/ https://www.ncbi.nlm.nih.gov/pubmed/29651456 http://dx.doi.org/10.1126/sciadv.1701799 |
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author | Luo, Weijun Zhang, Chaolin Jiang, Yong-hui Brouwer, Cory R. |
author_facet | Luo, Weijun Zhang, Chaolin Jiang, Yong-hui Brouwer, Cory R. |
author_sort | Luo, Weijun |
collection | PubMed |
description | Autism spectrum disorder (ASD) affects 1% of world population and has become a pressing medical and social problem worldwide. As a paradigmatic complex genetic disease, ASD has been intensively studied and thousands of gene mutations have been reported. Because these mutations rarely recur, it is difficult to (i) pinpoint the fewer disease-causing versus majority random events and (ii) replicate or verify independent studies. A coherent and systematic understanding of autism biology has not been achieved. We analyzed 3392 and 4792 autism-related mutations from two large-scale whole-exome studies across multiple resolution levels, that is, variants (single-nucleotide), genes (protein-coding unit), and pathways (molecular module). These mutations do not recur or replicate at the variant level, but significantly and increasingly do so at gene and pathway levels. Genetic association reveals a novel gene + pathway dual-hit model, where the mutation burden becomes less relevant. In multiple independent analyses, hundreds of variants or genes repeatedly converge to several canonical pathways, either novel or literature-supported. These pathways define recurrent and systematic ASD biology, distinct from previously reported gene groups or networks. They also present a catalog of novel ASD risk factors including 118 variants and 72 genes. At a subpathway level, most variants disrupt the pathway-related gene functions, and in the same gene, they tend to hit residues extremely close to each other and in the same domain. Multiple interacting variants spotlight key modules, including the cAMP (adenosine 3′,5′-monophosphate) second-messenger system and mGluR (metabotropic glutamate receptor) signaling regulation by GRKs (G protein–coupled receptor kinases). At a superpathway level, distinct pathways further interconnect and converge to three biology themes: synaptic function, morphology, and plasticity. |
format | Online Article Text |
id | pubmed-5895441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58954412018-04-12 Systematic reconstruction of autism biology from massive genetic mutation profiles Luo, Weijun Zhang, Chaolin Jiang, Yong-hui Brouwer, Cory R. Sci Adv Research Articles Autism spectrum disorder (ASD) affects 1% of world population and has become a pressing medical and social problem worldwide. As a paradigmatic complex genetic disease, ASD has been intensively studied and thousands of gene mutations have been reported. Because these mutations rarely recur, it is difficult to (i) pinpoint the fewer disease-causing versus majority random events and (ii) replicate or verify independent studies. A coherent and systematic understanding of autism biology has not been achieved. We analyzed 3392 and 4792 autism-related mutations from two large-scale whole-exome studies across multiple resolution levels, that is, variants (single-nucleotide), genes (protein-coding unit), and pathways (molecular module). These mutations do not recur or replicate at the variant level, but significantly and increasingly do so at gene and pathway levels. Genetic association reveals a novel gene + pathway dual-hit model, where the mutation burden becomes less relevant. In multiple independent analyses, hundreds of variants or genes repeatedly converge to several canonical pathways, either novel or literature-supported. These pathways define recurrent and systematic ASD biology, distinct from previously reported gene groups or networks. They also present a catalog of novel ASD risk factors including 118 variants and 72 genes. At a subpathway level, most variants disrupt the pathway-related gene functions, and in the same gene, they tend to hit residues extremely close to each other and in the same domain. Multiple interacting variants spotlight key modules, including the cAMP (adenosine 3′,5′-monophosphate) second-messenger system and mGluR (metabotropic glutamate receptor) signaling regulation by GRKs (G protein–coupled receptor kinases). At a superpathway level, distinct pathways further interconnect and converge to three biology themes: synaptic function, morphology, and plasticity. American Association for the Advancement of Science 2018-04-11 /pmc/articles/PMC5895441/ /pubmed/29651456 http://dx.doi.org/10.1126/sciadv.1701799 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Luo, Weijun Zhang, Chaolin Jiang, Yong-hui Brouwer, Cory R. Systematic reconstruction of autism biology from massive genetic mutation profiles |
title | Systematic reconstruction of autism biology from massive genetic mutation profiles |
title_full | Systematic reconstruction of autism biology from massive genetic mutation profiles |
title_fullStr | Systematic reconstruction of autism biology from massive genetic mutation profiles |
title_full_unstemmed | Systematic reconstruction of autism biology from massive genetic mutation profiles |
title_short | Systematic reconstruction of autism biology from massive genetic mutation profiles |
title_sort | systematic reconstruction of autism biology from massive genetic mutation profiles |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895441/ https://www.ncbi.nlm.nih.gov/pubmed/29651456 http://dx.doi.org/10.1126/sciadv.1701799 |
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