Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
Tissink Elleke; Eriksson Johan G.; Awaloff Yvonne; Palotie Aarno; Nemeroff Charles B.; Heim Christine M.; Räikkönen Katri; Lahti Jari; Iosifescu Dan V.; Mayberg Helen S.; Craighead W. Edward; Mathew Sanjay J.; Kinkead Becky; Tuhkanen Johanna; Martins Jade; Ressler Kerry J.; Provençal Nadine; Khulan Batbayar; Winter Sibylle M.; Neylan Thomas C.; Binder Elisabeth B.; Drake Amanda J.; Czamara Darina; Dunlop Boadie W.
Combined effects of genotype and childhood adversity shape variability of DNA methylation across age
Tissink Elleke
Eriksson Johan G.
Awaloff Yvonne
Palotie Aarno
Nemeroff Charles B.
Heim Christine M.
Räikkönen Katri
Lahti Jari
Iosifescu Dan V.
Mayberg Helen S.
Craighead W. Edward
Mathew Sanjay J.
Kinkead Becky
Tuhkanen Johanna
Martins Jade
Ressler Kerry J.
Provençal Nadine
Khulan Batbayar
Winter Sibylle M.
Neylan Thomas C.
Binder Elisabeth B.
Drake Amanda J.
Czamara Darina
Dunlop Boadie W.
SPRINGER NATURE
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042825533
https://urn.fi/URN:NBN:fi-fe2021042825533
Tiivistelmä
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 (GxCA) 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 GxCA but almost never by CA alone. Across ages and tissues, 1672 DNAm sites showed consistency of the best model in all five cohorts, with GxCA interactions explaining most variance. The consistent GxCA 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.
Kokoelmat
- Rinnakkaistallenteet [19207]