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dc.contributor.authorGao, C
dc.contributor.authorAmador, C
dc.contributor.authorWalker, RM
dc.contributor.authorCampbell, A
dc.contributor.authorMadden, RA
dc.contributor.authorAdams, MJ
dc.contributor.authorBai, X
dc.contributor.authorLiu, Y
dc.contributor.authorLi, M
dc.contributor.authorHayward, C
dc.contributor.authorPorteous, DJ
dc.contributor.authorShen, X
dc.contributor.authorEvans, KL
dc.contributor.authorHaley, CS
dc.contributor.authorMcIntosh, AM
dc.contributor.authorNavarro, P
dc.contributor.authorZeng, Y
dc.date.accessioned2023-05-17T10:43:36Z
dc.date.issued2023-05-15
dc.date.updated2023-05-17T10:09:37Z
dc.description.abstractBackground: The variation in the rate at which humans age may be rooted in early events acting through the genomic regions that are influenced by such events and subsequently are related to health phenotypes in later life. The parent-of-origin-effect (POE)-regulated methylome includes regions enriched for genetically controlled imprinting effects (the typical type of POE) and regions influenced by environmental effects associated with parents (the atypical POE). This part of the methylome is heavily influenced by early events, making it a potential route connecting early exposures, the epigenome, and aging. We aim to test the association of POE-CpGs with early and later exposures and subsequently with health-related phenotypes and adult aging. Results: We perform a phenome-wide association analysis for the POE-influenced methylome using GS:SFHS (Ndiscovery = 5087, Nreplication = 4450). We identify and replicate 92 POE-CpG-phenotype associations. Most of the associations are contributed by the POE-CpGs belonging to the atypical class where the most strongly enriched associations are with aging (DNAmTL acceleration), intelligence, and parental (maternal) smoking exposure phenotypes. A proportion of the atypical POE-CpGs form co-methylation networks (modules) which are associated with these phenotypes, with one of the aging-associated modules displaying increased within-module methylation connectivity with age. The atypical POE-CpGs also display high levels of methylation heterogeneity, fast information loss with age, and a strong correlation with CpGs contained within epigenetic clocks. Conclusions: These results identify the association between the atypical POE-influenced methylome and aging and provide new evidence for the “early development of origin” hypothesis for aging in humans.en_GB
dc.description.sponsorshipNational Key Research & Development Program of Chinaen_GB
dc.description.sponsorshipGeneral Program of National Natural Science Foundation of Chinaen_GB
dc.description.sponsorshipNational Institutes of Health (NIH)en_GB
dc.description.sponsorshipUK Research and Innovationen_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.description.sponsorshipChief Scientist Office of the Scottish Government Health Directoratesen_GB
dc.description.sponsorshipScottish Funding Councilen_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipNARSADen_GB
dc.description.sponsorshipRoyal College of Physicians of Edinburghen_GB
dc.identifier.citationVol. 24, article 117en_GB
dc.identifier.doihttps://doi.org/10.1186/s13059-023-02953-6
dc.identifier.grantnumber2021ZD0202000en_GB
dc.identifier.grantnumber81971270en_GB
dc.identifier.grantnumberR01MH124873en_GB
dc.identifier.grantnumberMR/W014386/1en_GB
dc.identifier.grantnumberU. MC_UU_00007/10en_GB
dc.identifier.grantnumberMC_PC_U127592696en_GB
dc.identifier.grantnumberCZD/16/6en_GB
dc.identifier.grantnumberHR03006en_GB
dc.identifier.grantnumber104036/Z/14/Zen_GB
dc.identifier.grantnumber220857/Z/20/Zen_GB
dc.identifier.grantnumber104036/Z/14/Zen_GB
dc.identifier.grantnumber27404en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133161
dc.identifierORCID: 0000-0002-1060-4479 (Walker, Rosie M)
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.relation.urlhttps://zenodo.org/record/7807379en_GB
dc.relation.urlhttps://datashare.ed.ac.uk/handle/10283/2988en_GB
dc.rights© The Author(s) 2023. 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publi cdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_GB
dc.subjectAtypical parent-of-origin effecten_GB
dc.subjectAgingen_GB
dc.subjectDNAmTL accelerationen_GB
dc.subjectMaternal smoking exposureen_GB
dc.subjectLifestyleen_GB
dc.subjectIntelligenceen_GB
dc.titlePhenome-wide analyses identify an association between the parent-of-origin effects dependent methylome and the rate of aging in humansen_GB
dc.typeArticleen_GB
dc.date.available2023-05-17T10:43:36Z
exeter.article-number117
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this record. en_GB
dc.descriptionAvailability of data and materials: Summary statistics supporting the conclusions of this article are included within the article and its additional files (Additional file 2: Table S1-S20). The full summary statistics for the association analyses at the single CpG and modular level are available at the following repository link: https://zenodo.org/record/7807379 [80]. The data dictionary for GS:SFHS is available at the URL: https://datashare.ed.ac.uk/handle/10283/2988 [81]. According to the terms of consent, access to DNA methylation and phenotype data in GS:SFHS needs to be approved by the GS Access Committee (https://www.ed.ac.uk/generation-scotland/for-researchers/access, mailto: access@generationscotland.org). The managed access process ensures that approval is granted only to research which comes under the terms of participant consent which does not allow making participant information publicly available.en_GB
dc.identifier.eissn1474-760X
dc.identifier.eissn1465-6906
dc.identifier.journalGenome Biologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-04-26
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-05-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-05-17T10:35:08Z
refterms.versionFCDVoR
refterms.dateFOA2023-05-17T10:43:37Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-05-15


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© The Author(s) 2023. 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publi
cdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publi cdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.