Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30892
Title: Epigenetic insights into neuropsychiatric and cognitive symptoms in Parkinson’s disease: A DNA co-methylation network analysis
Authors: Harvey, J
Smith, AR
Weymouth, LS
Smith, RG
Castanho, I
Hubbard, L
Creese, B
Bresner, C
Williams, N
Pishva, E
Lunnon, K
Keywords: epigenetics;gene regulatory networks;Parkinson's disease
Issue Date: 2-Mar-2025
Publisher: Springer Nature
Citation: Harvey, J.et al. (2025) 'Epigenetic insights into neuropsychiatric and cognitive symptoms in Parkinson’s disease: A DNA co-methylation network analysis',npj Parkinson's Disease, 11 (1), 39, pp. 1 - 10. doi:10.1038/s41531-025-00877-5.
Abstract: Parkinson’s disease is a highly heterogeneous disorder, encompassing a complex spectrum of clinical presentation including motor, sleep, cognitive and neuropsychiatric symptoms. We aimed to investigate genome-wide DNA methylation networks in post-mortem Parkinson’s disease brain samples and test for region-specific association with common neuropsychiatric and cognitive symptoms. Of traits tested, we identify a co-methylation module in the substantia nigra with significant correlation to depressive symptoms. Notably, expression of the genes annotated to the methylation loci present within this module are found to be significantly enriched in neuronal subtypes within the substantia nigra. These findings highlight the potential involvement of neuronal-specific changes within the substantia nigra with regards to depressive symptoms in Parkinson’s disease.
Description: Data availability: DNA methylation data used in this study was provided for the study by the authors of a previous publication45. It is available via figshare https://doi.org/10.17035/cardiff.27195645.v1. Data used in the preparation of this article were obtained on 1st June 2020 from the Parkinson’s Progression Markers Initiative (PPMI) database (https://www.ppmi-info.org/access-data-specimens/download-data), RRID:SCR_006431. This analysis used data openly available from PPMI. For up-to-date information on the study, visit http://www.ppmi-info.org.
Code availability: All codes are available at https://github.com/JoshHarveyGit/PD_TraitNetworkAnalysis.
Supplementary information is available online at: https://www.nature.com/articles/s41531-025-00877-5#Sec18 .
URI: https://bura.brunel.ac.uk/handle/2438/30892
DOI: https://doi.org/10.1038/s41531-025-00877-5
Other Identifiers: ORCiD: Joshua Harvey https://orcid.org/0000-0001-6423-9983
ORCiD: Luke S. Weymouth https://orcid.org/0000-0002-1168-6015
ORCiD: Rebecca G. Smith https://orcid.org/0000-0001-9264-1056
ORCiD: Byron Creese https://orcid.org/0000-0001-6490-6037
ORCiD: Catherine Bresner https://orcid.org/0000-0003-2673-9762
ORCiD: Nigel Williams https://orcid.org/0000-0003-1177-6931
Article no. 39
Appears in Collections:Dept of Life Sciences Research Papers

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