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dc.contributor.authorDevanna, P
dc.contributor.authorChen, X S
dc.contributor.authorHo, J
dc.contributor.authorGajewski, D
dc.contributor.authorSmith, S D
dc.contributor.authorGialluisi, A
dc.contributor.authorFrancks, C
dc.contributor.authorFisher, S E
dc.contributor.authorNewbury, D F
dc.contributor.authorVernes, S C
dc.date.accessioned2021-03-24T12:30:04Z
dc.date.available2021-03-24T12:30:04Z
dc.date.issued2018-05
dc.identifier.citationDevanna , P , Chen , X S , Ho , J , Gajewski , D , Smith , S D , Gialluisi , A , Francks , C , Fisher , S E , Newbury , D F & Vernes , S C 2018 , ' Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders ' , Molecular Psychiatry , vol. 23 , no. 5 , pp. 1375-1384 . https://doi.org/10.1038/mp.2017.30en
dc.identifier.issn1359-4184
dc.identifier.otherPURE: 272111992
dc.identifier.otherPURE UUID: aa670f8e-f82e-4dc8-bea3-fc5c19946536
dc.identifier.otherPubMed: 28289279
dc.identifier.otherPubMedCentral: PMC5474318
dc.identifier.otherScopus: 85015084189
dc.identifier.otherORCID: /0000-0003-0305-4584/work/86538513
dc.identifier.urihttp://hdl.handle.net/10023/21699
dc.descriptionFunding: This work was funded by a Marie Curie Career Integration Grant and by a Max Planck Research Group Grant both awarded to SCV. The work of the Newbury lab is funded by the Medical Research Council (G1000569/1 and MR/J003719/1). XSC, AG, CF and SEF were supported by the Max Planck Society. The UK Medical Research Council and the Wellcome Trust (Grant ref: 102215/2/13/2) and the University of Bristol provided core support for ALSPAC. The work of the Wellcome Trust Centre in Oxford is supported by the Wellcome Trust (090532/Z/09/Z). JH was supported by a scholarship from the Agency for Science, Technology, and Research, Singapore. The work of SDS is supported by the grant HD027802 from NIH.en
dc.description.abstractUnderstanding 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.
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofMolecular Psychiatryen
dc.rightsCopyright © The Author(s) 2018. 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/en
dc.subject3' Untranslated Regions/geneticsen
dc.subjectAdulten
dc.subjectAutistic disorder/geneticsen
dc.subjectBinding sites/geneticsen
dc.subjectBipolar disorder/geneticsen
dc.subjectChilden
dc.subjectCohort studiesen
dc.subjectDNA, intergenic/geneticsen
dc.subjectFemaleen
dc.subjectGene expression regulation/geneticsen
dc.subjectGenetic predisposition to Diseaseen
dc.subjectGenetic variation/geneticsen
dc.subjectGenomicsen
dc.subjectHigh-throughput nucleotide sequencing/methodsen
dc.subjectHumansen
dc.subjectLanguage development disorders/geneticsen
dc.subjectMaleen
dc.subjectMental disorders/geneticsen
dc.subjectmicroRNAs/geneticsen
dc.subjectNervous system diseases/geneticsen
dc.subjectNeurodevelopmental disorders/geneticsen
dc.subjectSchizophrenia/geneticsen
dc.subjectSequence analysis/methodsen
dc.subjectQH301 Biologyen
dc.subjectQH426 Geneticsen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.subjectDASen
dc.subject.lccQH301en
dc.subject.lccQH426en
dc.subject.lccRC0321en
dc.titleNext-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disordersen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.identifier.doihttps://doi.org/10.1038/mp.2017.30
dc.description.statusPeer revieweden


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