BMI is positively associated with accelerated epigenetic aging in twin pairs discordant for body mass index

dc.contributor.authorLundgren Sara
dc.contributor.authorKuitunen Sara
dc.contributor.authorPietiläinen Kirsi H.
dc.contributor.authorHurme Mikko
dc.contributor.authorKähönen Mika
dc.contributor.authorMännistö Satu
dc.contributor.authorPerola Markus
dc.contributor.authorLehtimäki Terho
dc.contributor.authorRaitakari Olli
dc.contributor.authorKaprio Jaakko
dc.contributor.authorOllikainen Miina
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organizationfi=sydäntutkimuskeskus|en=Cardiovascular Medicine (CAPC)|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=väestötutkimuskeskus|en=Centre for Population Health Research (POP Centre)|
dc.contributor.organization-code1.2.246.10.2458963.20.35734063924
dc.contributor.organization-code1.2.246.10.2458963.20.42471027641
dc.contributor.organization-code1.2.246.10.2458963.20.68445910604
dc.converis.publication-id176166174
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/176166174
dc.date.accessioned2025-08-27T21:37:04Z
dc.date.available2025-08-27T21:37:04Z
dc.description.abstract<p>Background <br>Obesity is a heritable complex phenotype that can increase the risk of age-related outcomes. Biological age can be estimated from DNA methylation (DNAm) using various "epigenetic clocks." Previous work suggests individuals with elevated weight also display accelerated aging, but results vary by epigenetic clock and population. Here, we utilize the new epigenetic clock GrimAge, which closely correlates with mortality. <br></p><p>Objectives <br>We aimed to assess the cross-sectional association of body mass index (BMI) with age acceleration in twins to limit confounding by genetics and shared environment. <br></p><p>Methods and results <br>Participants were from the Finnish Twin Cohort (FTC; n = 1424), including monozygotic (MZ) and dizygotic (DZ) twin pairs, and DNAm was measured using the Illumina 450K array. Multivariate linear mixed effects models including MZ and DZ twins showed an accelerated epigenetic age of 1.02 months (p-value = 6.1 x 10(-12)) per one-unit BMI increase. Additionally, heavier twins in a BMI-discordant MZ twin pair (Delta BMI >3 kg/m(2)) had an epigenetic age 5.2 months older than their lighter cotwin (p-value = 0.0074). We also found a positive association between log (homeostatic model assessment of insulin resistance) and age acceleration, confirmed by a meta-analysis of the FTC and two other Finnish cohorts (overall effect = 0.45 years, p-value = 4.1 x 10(-25)) from adjusted models. <br></p><p>Conclusion <br>We identified significant associations of BMI and insulin resistance with age acceleration based on GrimAge, which were not due to genetic effects on BMI and aging. Overall, these results support a role of BMI in aging, potentially in part due to the effects of insulin resistance.<br></p>
dc.format.pagerange627
dc.format.pagerange640
dc.identifier.eissn1365-2796
dc.identifier.jour-issn0954-6820
dc.identifier.olddbid200742
dc.identifier.oldhandle10024/183769
dc.identifier.urihttps://www.utupub.fi/handle/11111/46784
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1111/joim.13528
dc.identifier.urnURN:NBN:fi-fe2022091258492
dc.language.isoen
dc.okm.affiliatedauthorRaitakari, Olli
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherWILEY
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1111/joim.13528
dc.relation.ispartofjournalJournal of Internal Medicine
dc.relation.issue2
dc.relation.volume292
dc.source.identifierhttps://www.utupub.fi/handle/10024/183769
dc.titleBMI is positively associated with accelerated epigenetic aging in twin pairs discordant for body mass index
dc.year.issued2022

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