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Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease

Polygenic inheritance plays a central role in Parkinson disease (PD). A priority in elucidating PD etiology lies in defining the biological basis of genetic risk. Unraveling how risk leads to disruption will yield disease-modifying therapeutic targets that may be effective. Here, we utilized a high-...

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Autores principales: Bandres-Ciga, S., Saez-Atienzar, S., Kim, J. J., Makarious, M. B., Faghri, F., Diez-Fairen, M., Iwaki, H., Leonard, H., Botia, J., Ryten, M., Hernandez, D., Gibbs, J. R., Ding, J., Gan-Or, Z., Noyce, A., Pihlstrom, L., Torkamani, A., Soltis, A. R., Dalgard, C. L., Scholz, S. W., Traynor, B. J., Ehrlich, D., Scherzer, C. R., Bookman, M., Cookson, M., Blauwendraat, C., Nalls, M. A., Singleton, A. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096770/
https://www.ncbi.nlm.nih.gov/pubmed/32601912
http://dx.doi.org/10.1007/s00401-020-02181-3
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author Bandres-Ciga, S.
Saez-Atienzar, S.
Kim, J. J.
Makarious, M. B.
Faghri, F.
Diez-Fairen, M.
Iwaki, H.
Leonard, H.
Botia, J.
Ryten, M.
Hernandez, D.
Gibbs, J. R.
Ding, J.
Gan-Or, Z.
Noyce, A.
Pihlstrom, L.
Torkamani, A.
Soltis, A. R.
Dalgard, C. L.
Scholz, S. W.
Traynor, B. J.
Ehrlich, D.
Scherzer, C. R.
Bookman, M.
Cookson, M.
Blauwendraat, C.
Nalls, M. A.
Singleton, A. B.
author_facet Bandres-Ciga, S.
Saez-Atienzar, S.
Kim, J. J.
Makarious, M. B.
Faghri, F.
Diez-Fairen, M.
Iwaki, H.
Leonard, H.
Botia, J.
Ryten, M.
Hernandez, D.
Gibbs, J. R.
Ding, J.
Gan-Or, Z.
Noyce, A.
Pihlstrom, L.
Torkamani, A.
Soltis, A. R.
Dalgard, C. L.
Scholz, S. W.
Traynor, B. J.
Ehrlich, D.
Scherzer, C. R.
Bookman, M.
Cookson, M.
Blauwendraat, C.
Nalls, M. A.
Singleton, A. B.
author_sort Bandres-Ciga, S.
collection PubMed
description Polygenic inheritance plays a central role in Parkinson disease (PD). A priority in elucidating PD etiology lies in defining the biological basis of genetic risk. Unraveling how risk leads to disruption will yield disease-modifying therapeutic targets that may be effective. Here, we utilized a high-throughput and hypothesis-free approach to determine biological processes underlying PD using the largest currently available cohorts of genetic and gene expression data from International Parkinson’s Disease Genetics Consortium (IPDGC) and the Accelerating Medicines Partnership-Parkinson’s disease initiative (AMP-PD), among other sources. We applied large-scale gene-set specific polygenic risk score (PRS) analyses to assess the role of common variation on PD risk focusing on publicly annotated gene sets representative of curated pathways. We nominated specific molecular sub-processes underlying protein misfolding and aggregation, post-translational protein modification, immune response, membrane and intracellular trafficking, lipid and vitamin metabolism, synaptic transmission, endosomal–lysosomal dysfunction, chromatin remodeling and apoptosis mediated by caspases among the main contributors to PD etiology. We assessed the impact of rare variation on PD risk in an independent cohort of whole-genome sequencing data and found evidence for a burden of rare damaging alleles in a range of processes, including neuronal transmission-related pathways and immune response. We explored enrichment linked to expression cell specificity patterns using single-cell gene expression data and demonstrated a significant risk pattern for dopaminergic neurons, serotonergic neurons, hypothalamic GABAergic neurons, and neural progenitors. Subsequently, we created a novel way of building de novo pathways by constructing a network expression community map using transcriptomic data derived from the blood of PD patients, which revealed functional enrichment in inflammatory signaling pathways, cell death machinery related processes, and dysregulation of mitochondrial homeostasis. Our analyses highlight several specific promising pathways and genes for functional prioritization and provide a cellular context in which such work should be done. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00401-020-02181-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-80967702021-05-05 Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease Bandres-Ciga, S. Saez-Atienzar, S. Kim, J. J. Makarious, M. B. Faghri, F. Diez-Fairen, M. Iwaki, H. Leonard, H. Botia, J. Ryten, M. Hernandez, D. Gibbs, J. R. Ding, J. Gan-Or, Z. Noyce, A. Pihlstrom, L. Torkamani, A. Soltis, A. R. Dalgard, C. L. Scholz, S. W. Traynor, B. J. Ehrlich, D. Scherzer, C. R. Bookman, M. Cookson, M. Blauwendraat, C. Nalls, M. A. Singleton, A. B. Acta Neuropathol Original Paper Polygenic inheritance plays a central role in Parkinson disease (PD). A priority in elucidating PD etiology lies in defining the biological basis of genetic risk. Unraveling how risk leads to disruption will yield disease-modifying therapeutic targets that may be effective. Here, we utilized a high-throughput and hypothesis-free approach to determine biological processes underlying PD using the largest currently available cohorts of genetic and gene expression data from International Parkinson’s Disease Genetics Consortium (IPDGC) and the Accelerating Medicines Partnership-Parkinson’s disease initiative (AMP-PD), among other sources. We applied large-scale gene-set specific polygenic risk score (PRS) analyses to assess the role of common variation on PD risk focusing on publicly annotated gene sets representative of curated pathways. We nominated specific molecular sub-processes underlying protein misfolding and aggregation, post-translational protein modification, immune response, membrane and intracellular trafficking, lipid and vitamin metabolism, synaptic transmission, endosomal–lysosomal dysfunction, chromatin remodeling and apoptosis mediated by caspases among the main contributors to PD etiology. We assessed the impact of rare variation on PD risk in an independent cohort of whole-genome sequencing data and found evidence for a burden of rare damaging alleles in a range of processes, including neuronal transmission-related pathways and immune response. We explored enrichment linked to expression cell specificity patterns using single-cell gene expression data and demonstrated a significant risk pattern for dopaminergic neurons, serotonergic neurons, hypothalamic GABAergic neurons, and neural progenitors. Subsequently, we created a novel way of building de novo pathways by constructing a network expression community map using transcriptomic data derived from the blood of PD patients, which revealed functional enrichment in inflammatory signaling pathways, cell death machinery related processes, and dysregulation of mitochondrial homeostasis. Our analyses highlight several specific promising pathways and genes for functional prioritization and provide a cellular context in which such work should be done. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00401-020-02181-3) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-06-29 2020 /pmc/articles/PMC8096770/ /pubmed/32601912 http://dx.doi.org/10.1007/s00401-020-02181-3 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Bandres-Ciga, S.
Saez-Atienzar, S.
Kim, J. J.
Makarious, M. B.
Faghri, F.
Diez-Fairen, M.
Iwaki, H.
Leonard, H.
Botia, J.
Ryten, M.
Hernandez, D.
Gibbs, J. R.
Ding, J.
Gan-Or, Z.
Noyce, A.
Pihlstrom, L.
Torkamani, A.
Soltis, A. R.
Dalgard, C. L.
Scholz, S. W.
Traynor, B. J.
Ehrlich, D.
Scherzer, C. R.
Bookman, M.
Cookson, M.
Blauwendraat, C.
Nalls, M. A.
Singleton, A. B.
Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease
title Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease
title_full Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease
title_fullStr Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease
title_full_unstemmed Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease
title_short Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease
title_sort large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in parkinson disease
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096770/
https://www.ncbi.nlm.nih.gov/pubmed/32601912
http://dx.doi.org/10.1007/s00401-020-02181-3
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