Integration of gene expression and DNA methylation identifies epigenetically controlled modules related to PM2.5 exposure
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- dc.contributor.author Merid, Simon Kebede
- dc.contributor.author Bustamante Pineda, Mariona
- dc.contributor.author Standl, Marie
- dc.contributor.author Sunyer Deu, Jordi
- dc.contributor.author Heinrich, Joachim
- dc.contributor.author Lemonnier, Nathanael
- dc.contributor.author Aguilar, Daniel
- dc.contributor.author Antó i Boqué, Josep Maria
- dc.contributor.author Bousquet, Jean
- dc.contributor.author Santa Marina, Loreto
- dc.contributor.author Lertxundi, Aitana
- dc.contributor.author Bergström, Anna
- dc.contributor.author Kull, Inger
- dc.contributor.author Wheelock, Åsa M.
- dc.contributor.author Koppelman, Gerard H.
- dc.contributor.author Melén, Erik
- dc.contributor.author Gruzieva, Olena
- dc.date.accessioned 2020-12-15T08:08:32Z
- dc.date.available 2020-12-15T08:08:32Z
- dc.date.issued 2020
- dc.description.abstract Air pollution has been associated with adverse health effects across the life-course. Although underlying mechanisms are unclear, several studies suggested pollutant-induced changes in transcriptomic profiles. In this meta-analysis of transcriptome-wide association studies of 656 children and adolescents from three European cohorts participating in the MeDALL Consortium, we found two differentially expressed transcript clusters (FDR p < 0.05) associated with exposure to particulate matter < 2.5 µm in diameter (PM2.5) at birth, one of them mapping to the MIR1296 gene. Further, by integrating gene expression with DNA methylation using Functional Epigenetic Modules algorithms, we identified 9 and 6 modules in relation to PM2.5 exposure at birth and at current address, respectively (including NR1I2, MAPK6, TAF8 and SCARA3). In conclusion, PM2.5 exposure at birth was linked to differential gene expression in children and adolescents. Importantly, we identified several significant interactome hotspots of gene modules of relevance for complex diseases in relation to PM2.5 exposure.
- dc.description.sponsorship The research leading to these results has received funding from the European Community’s Seventh Framework Program under grant agreement numbers: 211,250 (ESCAPE), and 261,357 (MeDALL), and the European Research Council (grant agreement number 757919, TRIBAL). NL was recipient of ANR-15- IDEX-02 grant.
- dc.format.mimetype application/pdf
- dc.identifier.citation Merid SK, Bustamante M, Standl M, Sunyer J, Heinrich J, Lemonnier N, Aguilar D, Antó JM, Bousquet J, Santa-Marina L, Lertxundi A, Bergström A, Kull I, Wheelock ÅM, Koppelman GH, Melén E, Gruzieva O. Integration of gene expression and DNA methylation identifies epigenetically controlled modules related to PM2.5 exposure. Environ Int. 2020; 146:106248. DOI: 10.1016/j.envint.2020.106248
- dc.identifier.doi http://dx.doi.org/10.1016/j.envint.2020.106248
- dc.identifier.issn 0160-4120
- dc.identifier.uri http://hdl.handle.net/10230/46043
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Environ Int. 2020; 146:106248
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/211250
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/261357
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/757919
- dc.rights © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Air pollution
- dc.subject.keyword Children
- dc.subject.keyword DNA methylation
- dc.subject.keyword Gene expression
- dc.subject.keyword Integration
- dc.title Integration of gene expression and DNA methylation identifies epigenetically controlled modules related to PM2.5 exposure
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion