English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  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., et al. (2018). Next-gen sequencing identifies non-coding variation disrupting miRNA binding sites in neurological disorders. Molecular Psychiatry, 23(5), 1375-1384. doi:10.1038/mp.2017.30.

Item is

Files

show Files
hide Files
:
Devanna_etal_2018.pdf (Publisher version), 469KB
Name:
Devanna_etal_2018.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2018
Copyright Info:
© The Author(s) 2017.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/
:
mp201730x1.docx (Supplementary material), 601KB
Name:
mp201730x1.docx
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/vnd.openxmlformats-officedocument.wordprocessingml.document / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Devanna, Paolo1, Author           
Chen, Xiaowei Sylvia2, Author           
Ho, Joses1, 2, 3, Author           
Gajewski, Dario1, Author
Smith, Shelley D.4, Author
Gialluisi, Alessandro2, 5, Author           
Francks, Clyde2, 6, 7, Author           
Fisher, Simon E.2, 6, Author           
Newbury, Dianne F.8, 9, Author
Vernes, Sonja C.1, 6, Author           
Affiliations:
1Neurogenetics of Vocal Communication Group, MPI for Psycholinguistics, Max Planck Society, ou_2231636              
2Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, ou_792549              
3International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
4Department of Developmental Neuroscience, Munroe Meyer Institute, University of Nebraska Medical Center, Omaha, NE, USA, ou_persistent22              
5Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              
6Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
7Imaging Genomics, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2579692              
8Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK, ou_persistent22              
9Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: 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

Details

show
hide
Language(s): eng - English
 Dates: 20172017-03-142018-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/mp.2017.30
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Molecular Psychiatry
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Houndmills, Hampshire, UK : Stockton Press
Pages: - Volume / Issue: 23 (5) Sequence Number: - Start / End Page: 1375 - 1384 Identifier: ISSN: 1359-4184
CoNE: https://pure.mpg.de/cone/journals/resource/954925619131