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Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders
Understanding the genetic factors underlying neurodevelopmental and neuropsychiatric disorders is a major challenge given their prevalence and potential severity for quality of life. While large-scale genomic screens have made major advances in this area, for many disorders the genetic underpinnings...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474318/ https://www.ncbi.nlm.nih.gov/pubmed/28289279 http://dx.doi.org/10.1038/mp.2017.30 |
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author | Devanna, P Chen, X S Ho, J Gajewski, D Smith, S D Gialluisi, A Francks, C Fisher, S E Newbury, D F Vernes, S C |
author_facet | Devanna, P Chen, X S Ho, J Gajewski, D Smith, S D Gialluisi, A Francks, C Fisher, S E Newbury, D F Vernes, S C |
author_sort | Devanna, P |
collection | PubMed |
description | Understanding the genetic factors underlying neurodevelopmental and neuropsychiatric disorders is a major challenge given their prevalence and potential severity for quality of life. While large-scale genomic screens have made major advances in this area, for many disorders the genetic underpinnings are complex and poorly understood. To date the field has focused predominantly on protein coding variation, but given the importance of tightly controlled gene expression for normal brain development and disorder, variation that affects non-coding regulatory regions of the genome is likely to play an important role in these phenotypes. Herein we show the importance of 3 prime untranslated region (3'UTR) non-coding regulatory variants across neurodevelopmental and neuropsychiatric disorders. We devised a pipeline for identifying and functionally validating putatively pathogenic variants from next generation sequencing (NGS) data. We applied this pipeline to a cohort of children with severe specific language impairment (SLI) and identified a functional, SLI-associated variant affecting gene regulation in cells and post-mortem human brain. This variant and the affected gene (ARHGEF39) represent new putative risk factors for SLI. Furthermore, we identified 3′UTR regulatory variants across autism, schizophrenia and bipolar disorder NGS cohorts demonstrating their impact on neurodevelopmental and neuropsychiatric disorders. Our findings show the importance of investigating non-coding regulatory variants when determining risk factors contributing to neurodevelopmental and neuropsychiatric disorders. In the future, integration of such regulatory variation with protein coding changes will be essential for uncovering the genetic causes of complex neurological disorders and the fundamental mechanisms underlying health and disease. |
format | Online Article Text |
id | pubmed-5474318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54743182018-05-15 Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders Devanna, P Chen, X S Ho, J Gajewski, D Smith, S D Gialluisi, A Francks, C Fisher, S E Newbury, D F Vernes, S C Mol Psychiatry Original Article Understanding the genetic factors underlying neurodevelopmental and neuropsychiatric disorders is a major challenge given their prevalence and potential severity for quality of life. While large-scale genomic screens have made major advances in this area, for many disorders the genetic underpinnings are complex and poorly understood. To date the field has focused predominantly on protein coding variation, but given the importance of tightly controlled gene expression for normal brain development and disorder, variation that affects non-coding regulatory regions of the genome is likely to play an important role in these phenotypes. Herein we show the importance of 3 prime untranslated region (3'UTR) non-coding regulatory variants across neurodevelopmental and neuropsychiatric disorders. We devised a pipeline for identifying and functionally validating putatively pathogenic variants from next generation sequencing (NGS) data. We applied this pipeline to a cohort of children with severe specific language impairment (SLI) and identified a functional, SLI-associated variant affecting gene regulation in cells and post-mortem human brain. This variant and the affected gene (ARHGEF39) represent new putative risk factors for SLI. Furthermore, we identified 3′UTR regulatory variants across autism, schizophrenia and bipolar disorder NGS cohorts demonstrating their impact on neurodevelopmental and neuropsychiatric disorders. Our findings show the importance of investigating non-coding regulatory variants when determining risk factors contributing to neurodevelopmental and neuropsychiatric disorders. In the future, integration of such regulatory variation with protein coding changes will be essential for uncovering the genetic causes of complex neurological disorders and the fundamental mechanisms underlying health and disease. Nature Publishing Group 2018-05 2017-03-14 /pmc/articles/PMC5474318/ /pubmed/28289279 http://dx.doi.org/10.1038/mp.2017.30 Text en Copyright © 2018 The Author(s) http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Original Article Devanna, P Chen, X S Ho, J Gajewski, D Smith, S D Gialluisi, A Francks, C Fisher, S E Newbury, D F Vernes, S C Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders |
title | Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites
in neurological disorders |
title_full | Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites
in neurological disorders |
title_fullStr | Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites
in neurological disorders |
title_full_unstemmed | Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites
in neurological disorders |
title_short | Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites
in neurological disorders |
title_sort | next-gen sequencing identifies non-coding variation disrupting mirna-binding sites
in neurological disorders |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474318/ https://www.ncbi.nlm.nih.gov/pubmed/28289279 http://dx.doi.org/10.1038/mp.2017.30 |
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