ArticleTranslational psychiatry2023
The DNA methylation landscape of the human oxytocin receptor gene (OXTR): data-driven clusters and their relation to gene expression and childhood adversity.
Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Variation in oxytocin receptor DNA methylation in female chickens are associated with age, genetics, laying intensity, and housing conditions.Poultry science · 2026Article
- Article
- An epigenetic framework for understanding contextual influences on neural and socio-emotional development: Narrative review and case-study of the oxytocin receptor.Developmental cognitive neuroscience · 2026Review
- Experiences in close relationships, interpersonal trust and OXTR expression in individuals with childhood maltreatment.Borderline personality disorder and emotion dysregulation · 2026Article
- Associations between lifetime history of depression, prenatal OXTR DNA methylation and breastfeeding outcomes.Clinical epigenetics · 2025Observational
- Cell-free DNA release following psychosocial and physical stress in women and men.Translational psychiatry · 2025Article
- A targeted long-read sequencing approach questions the association of OXTR methylation with high-functioning autism.Clinical epigenetics · 2023Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The oxytocin receptor gene (OXTR) is of interest when investigating the effects of early adversity on DNA methylation. However, there is heterogeneity regarding the selection of the most promising CpG sites to target for analyses. The goal of this study was to determine functionally relevant clusters of CpG sites within the OXTR CpG island in 113 mother-infant dyads, with 58 of the mothers reporting childhood maltreatment (CM). OXTR DNA methylation was analyzed in peripheral/umbilical blood mononuclear cells. Different complexity reduction approaches were used to reduce the 188 CpG sites into clusters of co-methylated sites. Furthermore, associations between OXTR DNA methylation (cluster- and site-specific level) and OXTR gene expression and CM were investigated in mothers. Results showed that, first, CpG sections differed strongly regarding their statistical utility for research of individual differences in DNA methylation. Second, cluster analyses and Partial Least Squares (PLS) suggested two clusters consisting of intron1/exon2 and the protein-coding region of exon3, respectively, as most strongly associated with outcome measures. Third, cross-validated PLS regression explained 7% of variance in CM, with low cross-validated variance explained for the prediction of gene expression. Fourth, substantial mother-child correspondence was observed in correlation patterns within the identified clusters, but only modest correspondence outside these clusters. This study makes an important contribution to the mapping of the DNA methylation landscape of the OXTR CpG island by highlighting clusters of CpG sites that show desirable statistical properties and predictive value. We provide a Companion Web Application to facilitate the choice of CpG sites.
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