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Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease

Huntington disease (HD) is a neurodegenerative disorder that is caused by a CAG repeat expansion in HTT. The length of this repeat, however, only explains a proportion of the variability in age of onset in patients. Genome-wide association studies have identified modifiers that contribute toward a p...

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Autores principales: Wright, Galen E B, Caron, Nicholas S, Ng, Bernard, Casal, Lorenzo, Casazza, William, Xu, Xiaohong, Ooi, Jolene, Pouladi, Mahmoud A, Mostafavi, Sara, Ross, Colin J D, Hayden, Michael R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530525/
https://www.ncbi.nlm.nih.gov/pubmed/32898862
http://dx.doi.org/10.1093/hmg/ddaa184
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author Wright, Galen E B
Caron, Nicholas S
Ng, Bernard
Casal, Lorenzo
Casazza, William
Xu, Xiaohong
Ooi, Jolene
Pouladi, Mahmoud A
Mostafavi, Sara
Ross, Colin J D
Hayden, Michael R
author_facet Wright, Galen E B
Caron, Nicholas S
Ng, Bernard
Casal, Lorenzo
Casazza, William
Xu, Xiaohong
Ooi, Jolene
Pouladi, Mahmoud A
Mostafavi, Sara
Ross, Colin J D
Hayden, Michael R
author_sort Wright, Galen E B
collection PubMed
description Huntington disease (HD) is a neurodegenerative disorder that is caused by a CAG repeat expansion in HTT. The length of this repeat, however, only explains a proportion of the variability in age of onset in patients. Genome-wide association studies have identified modifiers that contribute toward a proportion of the observed variance. By incorporating tissue-specific transcriptomic information with these results, additional modifiers can be identified. We performed a transcriptome-wide association study assessing heritable differences in genetically determined expression in diverse tissues, with genome-wide data from over 4000 patients. Functional validation of prioritized genes was undertaken in isogenic HD stem cells and patient brains. Enrichment analyses were performed with biologically relevant gene sets to identify the core pathways. HD-associated gene coexpression modules were assessed for associations with neurological phenotypes in an independent cohort and to guide drug repurposing analyses. Transcriptomic analyses identified genes that were associated with age of HD onset and displayed colocalization with gene expression signals in brain tissue (FAN1, GPR161, PMS2, SUMF2), with supporting evidence from functional experiments. This included genes involved in DNA repair, as well as novel-candidate modifier genes that have been associated with other neurological conditions. Further, cortical coexpression modules were also associated with cognitive decline and HD-related traits in a longitudinal cohort. In summary, the combination of population-scale gene expression information with HD patient genomic data identified novel modifier genes for the disorder. Further, these analyses expanded the pathways potentially involved in modifying HD onset and prioritized candidate therapeutics for future study.
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spelling pubmed-75305252020-10-07 Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease Wright, Galen E B Caron, Nicholas S Ng, Bernard Casal, Lorenzo Casazza, William Xu, Xiaohong Ooi, Jolene Pouladi, Mahmoud A Mostafavi, Sara Ross, Colin J D Hayden, Michael R Hum Mol Genet General Article Huntington disease (HD) is a neurodegenerative disorder that is caused by a CAG repeat expansion in HTT. The length of this repeat, however, only explains a proportion of the variability in age of onset in patients. Genome-wide association studies have identified modifiers that contribute toward a proportion of the observed variance. By incorporating tissue-specific transcriptomic information with these results, additional modifiers can be identified. We performed a transcriptome-wide association study assessing heritable differences in genetically determined expression in diverse tissues, with genome-wide data from over 4000 patients. Functional validation of prioritized genes was undertaken in isogenic HD stem cells and patient brains. Enrichment analyses were performed with biologically relevant gene sets to identify the core pathways. HD-associated gene coexpression modules were assessed for associations with neurological phenotypes in an independent cohort and to guide drug repurposing analyses. Transcriptomic analyses identified genes that were associated with age of HD onset and displayed colocalization with gene expression signals in brain tissue (FAN1, GPR161, PMS2, SUMF2), with supporting evidence from functional experiments. This included genes involved in DNA repair, as well as novel-candidate modifier genes that have been associated with other neurological conditions. Further, cortical coexpression modules were also associated with cognitive decline and HD-related traits in a longitudinal cohort. In summary, the combination of population-scale gene expression information with HD patient genomic data identified novel modifier genes for the disorder. Further, these analyses expanded the pathways potentially involved in modifying HD onset and prioritized candidate therapeutics for future study. Oxford University Press 2020-08-18 /pmc/articles/PMC7530525/ /pubmed/32898862 http://dx.doi.org/10.1093/hmg/ddaa184 Text en © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle General Article
Wright, Galen E B
Caron, Nicholas S
Ng, Bernard
Casal, Lorenzo
Casazza, William
Xu, Xiaohong
Ooi, Jolene
Pouladi, Mahmoud A
Mostafavi, Sara
Ross, Colin J D
Hayden, Michael R
Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease
title Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease
title_full Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease
title_fullStr Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease
title_full_unstemmed Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease
title_short Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease
title_sort gene expression profiles complement the analysis of genomic modifiers of the clinical onset of huntington disease
topic General Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530525/
https://www.ncbi.nlm.nih.gov/pubmed/32898862
http://dx.doi.org/10.1093/hmg/ddaa184
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