Cargando…

Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability

Identifying causative variants in cis-regulatory elements (CRE) in neurodevelopmental disorders has proven challenging. We have used in vivo functional analyses to categorize rigorously filtered CRE variants in a clinical cohort that is plausibly enriched for causative CRE mutations: 48 unrelated ma...

Descripción completa

Detalles Bibliográficos
Autores principales: Bengani, Hemant, Grozeva, Detelina, Moyon, Lambert, Bhatia, Shipra, Louros, Susana R., Hope, Jilly, Jackson, Adam, Prendergast, James G., Owen, Liusaidh J., Naville, Magali, Rainger, Jacqueline, Grimes, Graeme, Halachev, Mihail, Murphy, Laura C., Spasic-Boskovic, Olivera, van Heyningen, Veronica, Kind, Peter, Abbott, Catherine M., Osterweil, Emily, Raymond, F. Lucy, Roest Crollius, Hugues, FitzPatrick, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362966/
https://www.ncbi.nlm.nih.gov/pubmed/34388204
http://dx.doi.org/10.1371/journal.pone.0256181
_version_ 1783738271848726528
author Bengani, Hemant
Grozeva, Detelina
Moyon, Lambert
Bhatia, Shipra
Louros, Susana R.
Hope, Jilly
Jackson, Adam
Prendergast, James G.
Owen, Liusaidh J.
Naville, Magali
Rainger, Jacqueline
Grimes, Graeme
Halachev, Mihail
Murphy, Laura C.
Spasic-Boskovic, Olivera
van Heyningen, Veronica
Kind, Peter
Abbott, Catherine M.
Osterweil, Emily
Raymond, F. Lucy
Roest Crollius, Hugues
FitzPatrick, David R.
author_facet Bengani, Hemant
Grozeva, Detelina
Moyon, Lambert
Bhatia, Shipra
Louros, Susana R.
Hope, Jilly
Jackson, Adam
Prendergast, James G.
Owen, Liusaidh J.
Naville, Magali
Rainger, Jacqueline
Grimes, Graeme
Halachev, Mihail
Murphy, Laura C.
Spasic-Boskovic, Olivera
van Heyningen, Veronica
Kind, Peter
Abbott, Catherine M.
Osterweil, Emily
Raymond, F. Lucy
Roest Crollius, Hugues
FitzPatrick, David R.
author_sort Bengani, Hemant
collection PubMed
description Identifying causative variants in cis-regulatory elements (CRE) in neurodevelopmental disorders has proven challenging. We have used in vivo functional analyses to categorize rigorously filtered CRE variants in a clinical cohort that is plausibly enriched for causative CRE mutations: 48 unrelated males with a family history consistent with X-linked intellectual disability (XLID) in whom no detectable cause could be identified in the coding regions of the X chromosome (chrX). Targeted sequencing of all chrX CRE identified six rare variants in five affected individuals that altered conserved bases in CRE targeting known XLID genes and segregated appropriately in families. Two of these variants, FMR1(CRE) and TENM1(CRE), showed consistent site- and stage-specific differences of enhancer function in the developing zebrafish brain using dual-color fluorescent reporter assay. Mouse models were created for both variants. In male mice Fmr1(CRE) induced alterations in neurodevelopmental Fmr1 expression, olfactory behavior and neurophysiological indicators of FMRP function. The absence of another likely causative variant on whole genome sequencing further supported FMR1(CRE) as the likely basis of the XLID in this family. Tenm1(CRE) mice showed no phenotypic anomalies. Following the release of gnomAD 2.1, reanalysis showed that TENM1(CRE) exceeded the maximum plausible population frequency of a XLID causative allele. Assigning causative status to any ultra-rare CRE variant remains problematic and requires disease-relevant in vivo functional data from multiple sources. The sequential and bespoke nature of such analyses renders them time-consuming and challenging to scale for routine clinical use.
format Online
Article
Text
id pubmed-8362966
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-83629662021-08-14 Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability Bengani, Hemant Grozeva, Detelina Moyon, Lambert Bhatia, Shipra Louros, Susana R. Hope, Jilly Jackson, Adam Prendergast, James G. Owen, Liusaidh J. Naville, Magali Rainger, Jacqueline Grimes, Graeme Halachev, Mihail Murphy, Laura C. Spasic-Boskovic, Olivera van Heyningen, Veronica Kind, Peter Abbott, Catherine M. Osterweil, Emily Raymond, F. Lucy Roest Crollius, Hugues FitzPatrick, David R. PLoS One Research Article Identifying causative variants in cis-regulatory elements (CRE) in neurodevelopmental disorders has proven challenging. We have used in vivo functional analyses to categorize rigorously filtered CRE variants in a clinical cohort that is plausibly enriched for causative CRE mutations: 48 unrelated males with a family history consistent with X-linked intellectual disability (XLID) in whom no detectable cause could be identified in the coding regions of the X chromosome (chrX). Targeted sequencing of all chrX CRE identified six rare variants in five affected individuals that altered conserved bases in CRE targeting known XLID genes and segregated appropriately in families. Two of these variants, FMR1(CRE) and TENM1(CRE), showed consistent site- and stage-specific differences of enhancer function in the developing zebrafish brain using dual-color fluorescent reporter assay. Mouse models were created for both variants. In male mice Fmr1(CRE) induced alterations in neurodevelopmental Fmr1 expression, olfactory behavior and neurophysiological indicators of FMRP function. The absence of another likely causative variant on whole genome sequencing further supported FMR1(CRE) as the likely basis of the XLID in this family. Tenm1(CRE) mice showed no phenotypic anomalies. Following the release of gnomAD 2.1, reanalysis showed that TENM1(CRE) exceeded the maximum plausible population frequency of a XLID causative allele. Assigning causative status to any ultra-rare CRE variant remains problematic and requires disease-relevant in vivo functional data from multiple sources. The sequential and bespoke nature of such analyses renders them time-consuming and challenging to scale for routine clinical use. Public Library of Science 2021-08-13 /pmc/articles/PMC8362966/ /pubmed/34388204 http://dx.doi.org/10.1371/journal.pone.0256181 Text en © 2021 Bengani et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bengani, Hemant
Grozeva, Detelina
Moyon, Lambert
Bhatia, Shipra
Louros, Susana R.
Hope, Jilly
Jackson, Adam
Prendergast, James G.
Owen, Liusaidh J.
Naville, Magali
Rainger, Jacqueline
Grimes, Graeme
Halachev, Mihail
Murphy, Laura C.
Spasic-Boskovic, Olivera
van Heyningen, Veronica
Kind, Peter
Abbott, Catherine M.
Osterweil, Emily
Raymond, F. Lucy
Roest Crollius, Hugues
FitzPatrick, David R.
Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability
title Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability
title_full Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability
title_fullStr Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability
title_full_unstemmed Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability
title_short Identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with X-linked intellectual disability
title_sort identification and functional modelling of plausibly causative cis-regulatory variants in a highly-selected cohort with x-linked intellectual disability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362966/
https://www.ncbi.nlm.nih.gov/pubmed/34388204
http://dx.doi.org/10.1371/journal.pone.0256181
work_keys_str_mv AT benganihemant identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT grozevadetelina identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT moyonlambert identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT bhatiashipra identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT lourossusanar identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT hopejilly identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT jacksonadam identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT prendergastjamesg identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT owenliusaidhj identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT navillemagali identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT raingerjacqueline identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT grimesgraeme identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT halachevmihail identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT murphylaurac identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT spasicboskovicolivera identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT vanheyningenveronica identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT kindpeter identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT abbottcatherinem identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT osterweilemily identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT raymondflucy identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT roestcrolliushugues identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability
AT fitzpatrickdavidr identificationandfunctionalmodellingofplausiblycausativecisregulatoryvariantsinahighlyselectedcohortwithxlinkedintellectualdisability