Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13148-021-01080-y
DC FieldValue
dc.titleCharacteristics of epigenetic aging across gestational and perinatal tissues
dc.contributor.authorDieckmann, Linda
dc.contributor.authorLahti-Pulkkinen, Marius
dc.contributor.authorKvist, Tuomas
dc.contributor.authorLahti, Jari
dc.contributor.authorDeWitt, Peter E.
dc.contributor.authorCruceanu, Cristiana
dc.contributor.authorLaivuori, Hannele
dc.contributor.authorSammallahti, Sara
dc.contributor.authorVilla, Pia M.
dc.contributor.authorSuomalainen-König, Sanna
dc.contributor.authorEriksson, Johan G.
dc.contributor.authorKajantie, Eero
dc.contributor.authorRaikkönen, Katri
dc.contributor.authorBinder, Elisabeth B.
dc.contributor.authorCzamara, Darina
dc.date.accessioned2022-10-26T09:04:04Z
dc.date.available2022-10-26T09:04:04Z
dc.date.issued2021-04-29
dc.identifier.citationDieckmann, Linda, Lahti-Pulkkinen, Marius, Kvist, Tuomas, Lahti, Jari, DeWitt, Peter E., Cruceanu, Cristiana, Laivuori, Hannele, Sammallahti, Sara, Villa, Pia M., Suomalainen-König, Sanna, Eriksson, Johan G., Kajantie, Eero, Raikkönen, Katri, Binder, Elisabeth B., Czamara, Darina (2021-04-29). Characteristics of epigenetic aging across gestational and perinatal tissues. Clinical Epigenetics 13 (1) : 97. ScholarBank@NUS Repository. https://doi.org/10.1186/s13148-021-01080-y
dc.identifier.issn1868-7075
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233584
dc.description.abstractBackground: Epigenetic clocks have been used to indicate differences in biological states between individuals of same chronological age. However, so far, only few studies have examined epigenetic aging in newborns—especially regarding different gestational or perinatal tissues. In this study, we investigated which birth- and pregnancy-related variables are most important in predicting gestational epigenetic age acceleration or deceleration (i.e., the deviation between gestational epigenetic age estimated from the DNA methylome and chronological gestational age) in chorionic villus, placenta and cord blood tissues from two independent study cohorts (ITU, n = 639 and PREDO, n = 966). We further characterized the correspondence of epigenetic age deviations between these tissues. Results: Among the most predictive factors of epigenetic age deviations in single tissues were child sex, birth length, maternal smoking during pregnancy, maternal mental disorders until childbirth, delivery mode and parity. However, the specific factors related to epigenetic age deviation and the direction of association differed across tissues. In individuals with samples available from more than one tissue, relative epigenetic age deviations were not correlated across tissues. Conclusion: Gestational epigenetic age acceleration or deceleration was not related to more favorable or unfavorable factors in one direction in the investigated tissues, and the relative epigenetic age differed between tissues of the same person. This indicates that epigenetic age deviations associate with distinct, tissue specific, factors during the gestational and perinatal period. Our findings suggest that the epigenetic age of the newborn should be seen as a characteristic of a specific tissue, and less as a general characteristic of the child itself. © 2021, The Author(s).
dc.publisherBioMed Central Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectChorionic villi
dc.subjectCord blood
dc.subjectEarly development
dc.subjectEpigenetic age
dc.subjectEpigenetic clocks
dc.subjectPerinatal tissues
dc.subjectPlacenta
dc.typeArticle
dc.contributor.departmentOBSTETRICS & GYNAECOLOGY
dc.description.doi10.1186/s13148-021-01080-y
dc.description.sourcetitleClinical Epigenetics
dc.description.volume13
dc.description.issue1
dc.description.page97
dc.published.statePublished
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1186_s13148-021-01080-y.pdf4.28 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons