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Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility

We use deep sequencing to identify sources of variation in mRNA splicing in the dorsolateral prefrontal cortex (DLFPC) of 450 subjects from two aging cohorts. Hundreds of aberrant pre-mRNA splicing events are reproducibly associated with Alzheimer’s disease. We also generate a catalog of splicing qu...

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Autores principales: Raj, Towfique, Li, Yang I., Wong, Garrett, Humphrey, Jack, Wang, Minghui, Ramdhani, Satesh, Wang, Ying-Chih, Ng, Bernard, Gupta, Ishaan, Haroutunian, Vahram, Schadt, Eric E., Young-Pearse, Tracy, Mostafavi, Sara, Zhang, Bin, Sklar, Pamela, Bennett, David A., De Jager, Philip L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354244/
https://www.ncbi.nlm.nih.gov/pubmed/30297968
http://dx.doi.org/10.1038/s41588-018-0238-1
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author Raj, Towfique
Li, Yang I.
Wong, Garrett
Humphrey, Jack
Wang, Minghui
Ramdhani, Satesh
Wang, Ying-Chih
Ng, Bernard
Gupta, Ishaan
Haroutunian, Vahram
Schadt, Eric E.
Young-Pearse, Tracy
Mostafavi, Sara
Zhang, Bin
Sklar, Pamela
Bennett, David A.
De Jager, Philip L.
author_facet Raj, Towfique
Li, Yang I.
Wong, Garrett
Humphrey, Jack
Wang, Minghui
Ramdhani, Satesh
Wang, Ying-Chih
Ng, Bernard
Gupta, Ishaan
Haroutunian, Vahram
Schadt, Eric E.
Young-Pearse, Tracy
Mostafavi, Sara
Zhang, Bin
Sklar, Pamela
Bennett, David A.
De Jager, Philip L.
author_sort Raj, Towfique
collection PubMed
description We use deep sequencing to identify sources of variation in mRNA splicing in the dorsolateral prefrontal cortex (DLFPC) of 450 subjects from two aging cohorts. Hundreds of aberrant pre-mRNA splicing events are reproducibly associated with Alzheimer’s disease. We also generate a catalog of splicing quantitative trait loci (sQTL) effects: splicing of 3,006 genes is influenced by genetic variation. We report that altered splicing is the mechanism for the effects of the PICALM, CLU, and PTK2B susceptibility alleles. Further, we performed a transcriptome-wide association study and identified 21 genes with significant associations to Alzheimer’s disease, many of which are found in known loci, but 8 are in novel loci. This highlights the convergence of old and new Alzheimer’s disease genes in autophagy-lysosomal-related pathways. Overall, this study of the aging brain’s transcriptome provides evidence that dysregulation of mRNA splicing is a feature of Alzheimer’s disease and is, in some cases, genetically driven.
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spelling pubmed-63542442019-04-08 Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility Raj, Towfique Li, Yang I. Wong, Garrett Humphrey, Jack Wang, Minghui Ramdhani, Satesh Wang, Ying-Chih Ng, Bernard Gupta, Ishaan Haroutunian, Vahram Schadt, Eric E. Young-Pearse, Tracy Mostafavi, Sara Zhang, Bin Sklar, Pamela Bennett, David A. De Jager, Philip L. Nat Genet Article We use deep sequencing to identify sources of variation in mRNA splicing in the dorsolateral prefrontal cortex (DLFPC) of 450 subjects from two aging cohorts. Hundreds of aberrant pre-mRNA splicing events are reproducibly associated with Alzheimer’s disease. We also generate a catalog of splicing quantitative trait loci (sQTL) effects: splicing of 3,006 genes is influenced by genetic variation. We report that altered splicing is the mechanism for the effects of the PICALM, CLU, and PTK2B susceptibility alleles. Further, we performed a transcriptome-wide association study and identified 21 genes with significant associations to Alzheimer’s disease, many of which are found in known loci, but 8 are in novel loci. This highlights the convergence of old and new Alzheimer’s disease genes in autophagy-lysosomal-related pathways. Overall, this study of the aging brain’s transcriptome provides evidence that dysregulation of mRNA splicing is a feature of Alzheimer’s disease and is, in some cases, genetically driven. 2018-10-08 2018-11 /pmc/articles/PMC6354244/ /pubmed/30297968 http://dx.doi.org/10.1038/s41588-018-0238-1 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Raj, Towfique
Li, Yang I.
Wong, Garrett
Humphrey, Jack
Wang, Minghui
Ramdhani, Satesh
Wang, Ying-Chih
Ng, Bernard
Gupta, Ishaan
Haroutunian, Vahram
Schadt, Eric E.
Young-Pearse, Tracy
Mostafavi, Sara
Zhang, Bin
Sklar, Pamela
Bennett, David A.
De Jager, Philip L.
Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
title Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
title_full Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
title_fullStr Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
title_full_unstemmed Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
title_short Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
title_sort integrative transcriptome analyses of the aging brain implicate altered splicing in alzheimer’s disease susceptibility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354244/
https://www.ncbi.nlm.nih.gov/pubmed/30297968
http://dx.doi.org/10.1038/s41588-018-0238-1
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