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Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus

BACKGROUND: At least 90% of human genes are alternatively spliced. Alternative splicing has an important function regulating gene expression and miss-splicing can contribute to risk for human diseases, including Alzheimer’s disease (AD). METHODS: We developed a splicing decision model as a molecular...

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Autores principales: Han, Seonggyun, Miller, Jason E., Byun, Seyoun, Kim, Dokyoon, Risacher, Shannon L., Saykin, Andrew J., Lee, Younghee, Nho, Kwangsik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357347/
https://www.ncbi.nlm.nih.gov/pubmed/30704480
http://dx.doi.org/10.1186/s12920-018-0453-8
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author Han, Seonggyun
Miller, Jason E.
Byun, Seyoun
Kim, Dokyoon
Risacher, Shannon L.
Saykin, Andrew J.
Lee, Younghee
Nho, Kwangsik
author_facet Han, Seonggyun
Miller, Jason E.
Byun, Seyoun
Kim, Dokyoon
Risacher, Shannon L.
Saykin, Andrew J.
Lee, Younghee
Nho, Kwangsik
author_sort Han, Seonggyun
collection PubMed
description BACKGROUND: At least 90% of human genes are alternatively spliced. Alternative splicing has an important function regulating gene expression and miss-splicing can contribute to risk for human diseases, including Alzheimer’s disease (AD). METHODS: We developed a splicing decision model as a molecular mechanism to identify functional exon skipping events and genetic variation affecting alternative splicing on a genome-wide scale by integrating genomics, transcriptomics, and neuroimaging data in a systems biology approach. In this study, we analyzed RNA-Seq data of hippocampus brain tissue from Alzheimer’s disease (AD; n = 24) and cognitively normal elderly controls (CN; n = 50) and identified three exon skipping events in two genes (RELN and NOS1) as significantly associated with AD (corrected p-value < 0.05 and fold change > 1.5). Next, we identified single-nucleotide polymorphisms (SNPs) affecting exon skipping events using the splicing decision model and then performed an association analysis of SNPs potentially affecting three exon skipping events with a global cortical measure of amyloid-β deposition measured by [(18)F] Florbetapir position emission tomography (PET) scan as an AD-related quantitative phenotype. A whole-brain voxel-based analysis was also performed. RESULTS: Two exons in RELN and one exon in NOS1 showed significantly lower expression levels in the AD participants compared to CN participants, suggesting that the exons tend to be skipped more in AD. We also showed the loss of the core protein structure due to the skipped exons using the protein 3D structure analysis. The targeted SNP-based association analysis identified one intronic SNP (rs362771) adjacent to the skipped exon 24 in RELN as significantly associated with cortical amyloid-β levels (corrected p-value < 0.05). This SNP is within the splicing regulatory element, i.e., intronic splicing enhancer. The minor allele of rs362771 conferred decreases in cortical amyloid-β levels in the right temporal and bilateral parietal lobes. CONCLUSIONS: Our results suggest that exon skipping events and splicing-affecting SNPs in the human hippocampus may contribute to AD pathogenesis. Integration of multiple omics and neuroimaging data provides insights into possible mechanisms underlying AD pathophysiology through exon skipping and may help identify novel therapeutic targets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0453-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-63573472019-02-07 Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus Han, Seonggyun Miller, Jason E. Byun, Seyoun Kim, Dokyoon Risacher, Shannon L. Saykin, Andrew J. Lee, Younghee Nho, Kwangsik BMC Med Genomics Research BACKGROUND: At least 90% of human genes are alternatively spliced. Alternative splicing has an important function regulating gene expression and miss-splicing can contribute to risk for human diseases, including Alzheimer’s disease (AD). METHODS: We developed a splicing decision model as a molecular mechanism to identify functional exon skipping events and genetic variation affecting alternative splicing on a genome-wide scale by integrating genomics, transcriptomics, and neuroimaging data in a systems biology approach. In this study, we analyzed RNA-Seq data of hippocampus brain tissue from Alzheimer’s disease (AD; n = 24) and cognitively normal elderly controls (CN; n = 50) and identified three exon skipping events in two genes (RELN and NOS1) as significantly associated with AD (corrected p-value < 0.05 and fold change > 1.5). Next, we identified single-nucleotide polymorphisms (SNPs) affecting exon skipping events using the splicing decision model and then performed an association analysis of SNPs potentially affecting three exon skipping events with a global cortical measure of amyloid-β deposition measured by [(18)F] Florbetapir position emission tomography (PET) scan as an AD-related quantitative phenotype. A whole-brain voxel-based analysis was also performed. RESULTS: Two exons in RELN and one exon in NOS1 showed significantly lower expression levels in the AD participants compared to CN participants, suggesting that the exons tend to be skipped more in AD. We also showed the loss of the core protein structure due to the skipped exons using the protein 3D structure analysis. The targeted SNP-based association analysis identified one intronic SNP (rs362771) adjacent to the skipped exon 24 in RELN as significantly associated with cortical amyloid-β levels (corrected p-value < 0.05). This SNP is within the splicing regulatory element, i.e., intronic splicing enhancer. The minor allele of rs362771 conferred decreases in cortical amyloid-β levels in the right temporal and bilateral parietal lobes. CONCLUSIONS: Our results suggest that exon skipping events and splicing-affecting SNPs in the human hippocampus may contribute to AD pathogenesis. Integration of multiple omics and neuroimaging data provides insights into possible mechanisms underlying AD pathophysiology through exon skipping and may help identify novel therapeutic targets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0453-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-31 /pmc/articles/PMC6357347/ /pubmed/30704480 http://dx.doi.org/10.1186/s12920-018-0453-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Han, Seonggyun
Miller, Jason E.
Byun, Seyoun
Kim, Dokyoon
Risacher, Shannon L.
Saykin, Andrew J.
Lee, Younghee
Nho, Kwangsik
Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
title Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
title_full Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
title_fullStr Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
title_full_unstemmed Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
title_short Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus
title_sort identification of exon skipping events associated with alzheimer’s disease in the human hippocampus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357347/
https://www.ncbi.nlm.nih.gov/pubmed/30704480
http://dx.doi.org/10.1186/s12920-018-0453-8
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