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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7530525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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