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Combined effects of genotype and childhood adversity shape variability of DNA methylation across age

Lasting effects of adversity, such as exposure to childhood adversity (CA) on disease risk, may be embedded via epigenetic mechanisms but findings from human studies investigating the main effects of such exposure on epigenetic measures, including DNA methylation (DNAm), are inconsistent. Studies in...

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Autores principales: Czamara, Darina, Tissink, Elleke, Tuhkanen, Johanna, Martins, Jade, Awaloff, Yvonne, Drake, Amanda J., Khulan, Batbayar, Palotie, Aarno, Winter, Sibylle M., Nemeroff, Charles B., Craighead, W. Edward, Dunlop, Boadie W., Mayberg, Helen S., Kinkead, Becky, Mathew, Sanjay J., Iosifescu, Dan V., Neylan, Thomas C., Heim, Christine M., Lahti, Jari, Eriksson, Johan G., Räikkönen, Katri, Ressler, Kerry J., Provençal, Nadine, Binder, Elisabeth B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851167/
https://www.ncbi.nlm.nih.gov/pubmed/33526782
http://dx.doi.org/10.1038/s41398-020-01147-z
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author Czamara, Darina
Tissink, Elleke
Tuhkanen, Johanna
Martins, Jade
Awaloff, Yvonne
Drake, Amanda J.
Khulan, Batbayar
Palotie, Aarno
Winter, Sibylle M.
Nemeroff, Charles B.
Craighead, W. Edward
Dunlop, Boadie W.
Mayberg, Helen S.
Kinkead, Becky
Mathew, Sanjay J.
Iosifescu, Dan V.
Neylan, Thomas C.
Heim, Christine M.
Lahti, Jari
Eriksson, Johan G.
Räikkönen, Katri
Ressler, Kerry J.
Provençal, Nadine
Binder, Elisabeth B.
author_facet Czamara, Darina
Tissink, Elleke
Tuhkanen, Johanna
Martins, Jade
Awaloff, Yvonne
Drake, Amanda J.
Khulan, Batbayar
Palotie, Aarno
Winter, Sibylle M.
Nemeroff, Charles B.
Craighead, W. Edward
Dunlop, Boadie W.
Mayberg, Helen S.
Kinkead, Becky
Mathew, Sanjay J.
Iosifescu, Dan V.
Neylan, Thomas C.
Heim, Christine M.
Lahti, Jari
Eriksson, Johan G.
Räikkönen, Katri
Ressler, Kerry J.
Provençal, Nadine
Binder, Elisabeth B.
author_sort Czamara, Darina
collection PubMed
description Lasting effects of adversity, such as exposure to childhood adversity (CA) on disease risk, may be embedded via epigenetic mechanisms but findings from human studies investigating the main effects of such exposure on epigenetic measures, including DNA methylation (DNAm), are inconsistent. Studies in perinatal tissues indicate that variability of DNAm at birth is best explained by the joint effects of genotype and prenatal environment. Here, we extend these analyses to postnatal stressors. We investigated the contribution of CA, cis genotype (G), and their additive (G + CA) and interactive (G × CA) effects to DNAm variability in blood or saliva from five independent cohorts with a total sample size of 1074 ranging in age from childhood to late adulthood. Of these, 541 were exposed to CA, which was assessed retrospectively using self-reports or verified through social services and registries. For the majority of sites (over 50%) in the adult cohorts, variability in DNAm was best explained by G + CA or G × CA but almost never by CA alone. Across ages and tissues, 1672 DNAm sites showed consistency of the best model in all five cohorts, with G × CA interactions explaining most variance. The consistent G × CA sites mapped to genes enriched in brain-specific transcripts and Gene Ontology terms related to development and synaptic function. Interaction of CA with genotypes showed the strongest contribution to DNAm variability, with stable effects across cohorts in functionally relevant genes. This underscores the importance of including genotype in studies investigating the impact of environmental factors on epigenetic marks.
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spelling pubmed-78511672021-02-08 Combined effects of genotype and childhood adversity shape variability of DNA methylation across age Czamara, Darina Tissink, Elleke Tuhkanen, Johanna Martins, Jade Awaloff, Yvonne Drake, Amanda J. Khulan, Batbayar Palotie, Aarno Winter, Sibylle M. Nemeroff, Charles B. Craighead, W. Edward Dunlop, Boadie W. Mayberg, Helen S. Kinkead, Becky Mathew, Sanjay J. Iosifescu, Dan V. Neylan, Thomas C. Heim, Christine M. Lahti, Jari Eriksson, Johan G. Räikkönen, Katri Ressler, Kerry J. Provençal, Nadine Binder, Elisabeth B. Transl Psychiatry Article Lasting effects of adversity, such as exposure to childhood adversity (CA) on disease risk, may be embedded via epigenetic mechanisms but findings from human studies investigating the main effects of such exposure on epigenetic measures, including DNA methylation (DNAm), are inconsistent. Studies in perinatal tissues indicate that variability of DNAm at birth is best explained by the joint effects of genotype and prenatal environment. Here, we extend these analyses to postnatal stressors. We investigated the contribution of CA, cis genotype (G), and their additive (G + CA) and interactive (G × CA) effects to DNAm variability in blood or saliva from five independent cohorts with a total sample size of 1074 ranging in age from childhood to late adulthood. Of these, 541 were exposed to CA, which was assessed retrospectively using self-reports or verified through social services and registries. For the majority of sites (over 50%) in the adult cohorts, variability in DNAm was best explained by G + CA or G × CA but almost never by CA alone. Across ages and tissues, 1672 DNAm sites showed consistency of the best model in all five cohorts, with G × CA interactions explaining most variance. The consistent G × CA sites mapped to genes enriched in brain-specific transcripts and Gene Ontology terms related to development and synaptic function. Interaction of CA with genotypes showed the strongest contribution to DNAm variability, with stable effects across cohorts in functionally relevant genes. This underscores the importance of including genotype in studies investigating the impact of environmental factors on epigenetic marks. Nature Publishing Group UK 2021-02-01 /pmc/articles/PMC7851167/ /pubmed/33526782 http://dx.doi.org/10.1038/s41398-020-01147-z Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Czamara, Darina
Tissink, Elleke
Tuhkanen, Johanna
Martins, Jade
Awaloff, Yvonne
Drake, Amanda J.
Khulan, Batbayar
Palotie, Aarno
Winter, Sibylle M.
Nemeroff, Charles B.
Craighead, W. Edward
Dunlop, Boadie W.
Mayberg, Helen S.
Kinkead, Becky
Mathew, Sanjay J.
Iosifescu, Dan V.
Neylan, Thomas C.
Heim, Christine M.
Lahti, Jari
Eriksson, Johan G.
Räikkönen, Katri
Ressler, Kerry J.
Provençal, Nadine
Binder, Elisabeth B.
Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
title Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
title_full Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
title_fullStr Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
title_full_unstemmed Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
title_short Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
title_sort combined effects of genotype and childhood adversity shape variability of dna methylation across age
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851167/
https://www.ncbi.nlm.nih.gov/pubmed/33526782
http://dx.doi.org/10.1038/s41398-020-01147-z
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