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. 2024 Nov 13;14:27879. doi: 10.1038/s41598-024-78035-9

Prenatal exposure to genocide and subsequent adverse childhood events are associated with DNA methylation of SLC6A4, BDNF, and PRDM8 in early adulthood in Rwanda

Luisa Maria Rivera 1,2,3,, Glorieuse Uwizeye 4, Hannah Stolrow 2,3, Brock Christensen 2,3, Julienne Rutherford 5, Zaneta Thayer 1
PMCID: PMC11560948  PMID: 39537739

Abstract

We investigated associations between prenatal genocidal trauma, including maternal rape, and postnatal adverse childhood experiences (ACEs) on DNA methylation of genes associated with the stress response. In a comparative cross-sectional study of 91 Rwandan young adults, categorized by prenatal exposure to genocide and maternal rape, genocide without rape, and unexposed controls, we analyzed DNA methylation from dried blood spots and assessed ACEs and depression and anxiety symptoms at age 24. Prenatal exposure to maternal rape was associated with DNA methylation changes in BDNF and SLC6A4, with the association in BDNF attenuated after including ACE exposure in the model. Genocide exposure without rape was associated with methylation changes in PRDM8 after adjusting for early adversity. Methylation in BDNF and SLC6A4 correlated with depression and anxiety symptoms. These findings underscore the impact of prenatal and postnatal trauma on DNA methylation and mental wellbeing, emphasizing the need for continued support for survivors in the decades after conflict.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-024-78035-9.

Subject terms: DNA methylation, Anxiety, Depression, Epigenetics

Introduction

The collective trauma of war can impact health and wellbeing long after the cessation of active conflict1. War trauma has been associated with an increased risk of later life psychopathology, cardiovascular morbidity, and metabolic disease; these effects may be exacerbated when trauma exposure occurs during sensitive periods of development— including prenatally or during childhood24.

The mechanisms that undergird the developmental effects of stress are complex; the shared hormonal and nutritional milieu between fetus and mother are implicated, as are the biosocial dynamics in which both mother and her child are embedded during pregnancy and childhood5,6. One potential mechanism is the epigenetic regulation of neuroendocrine function. Epigenetic changes refer to chemical and/or structural changes to genetic chromatin that alter gene expression without making changes to the underlying genetic code. DNA methylation, arguably the most studied epigenetic mark, is the covalent addition of a methyl group to the 5-carbon of cytosine at cytosine-phosphate-guanine (CpG). DNA methylation can both potentiate and repress transcription, is mitotically heritable, and is largely responsible for cell differentiation, indexing early life commitments to tissue investment and neuroendocrine axis regulation7,8. Previous research has shown that early life exposure to collective trauma during the Holocaust, conflicts in the Democratic Republic of Congo, Kenya, and the genocide against the Tutsi in Rwanda are associated with later life DNA methylation of genes regulating the hypothalamic pituitary adrenal axis, a core regulator of the human stress response, and multiple genes associated with metabolic function and neurodevelopment911.

While such studies examined the influence of prenatal exposure to collective trauma on DNA methylation, few account for the different types of prenatal trauma or the influence of subsequent adversity. The severity or intensity of how a trauma is experienced varies by individual, however, events that violate cultural norms (as in the case of genocidal rape) have been shown to drive subsequent distress more than “objectively” traumatizing events12. Thus, assessing culturally salient forms of prenatal stress is critical, as forms of trauma deemed especially severe in local contexts may overwhelm compensatory mechanisms that buffer the fetus from moderate stressors13. Furthermore, sensitive periods of development extend beyond the prenatal period into childhood and adolescence14. Epigenetic studies that examine prenatal stress should also assess postnatal experiences, as their cumulative impact may have compounding effects on epigenetic and long-term health outcomes.

The genocide against the Tutsi of 1994 elucidates the importance of these dynamics. The genocide against Tutsi resulted in the death of nearly a million Rwandans over a 100-day period of terror between April 7th and July 4th. Alongside homicidal violence, sexual assault was used as a systematic weapon of war, with an estimated 350,000 mostly Tutsi women raped during the genocide15. In Rwanda, victims of genocidal rape and children who were conceived of rape have faced ongoing social stigma and ostracization in their communities, shaping access to social and material resources16,17. Our previous work documents that individuals born of genocidal rape in Rwanda experience a ‘double burden’ of increased risk for childhood adversity and poorer mental and physical health relative to those conceived during the genocide without rape and controls conceived outside of Rwanda during the genocide18.

Literature on prenatal stress and DNA methylation has been mixed, potentially due to insufficient attention to context-specific forms of traumatization and the mitigating or exacerbating role of postnatal experiences19. To address these gaps, we conducted a study comparing DNA methylation of genes previously associated with early life adversity among individuals conceived of maternal genocidal rape (double-exposed), without maternal rape (single-exposed), and those unexposed to the 1994 genocide, while also exploring associations with subsequent adverse childhood events. Given that developmental epigenetic regulation of neuroendocrine responses is theorized to play a role in subsequent stress sensitization and mental illness20, we also conducted an exploratory analysis of significant CpG DNA methylation and participants’ current depression and anxiety symptoms.

Results

Descriptive statistics

Descriptive statistics are presented in Table 1. Participants were largely educated at the secondary level (81.3%) and categorized in either the Poor (38.5%) or Middle (52.7%) according to 2015 Ubudehe Rwandan government poverty categories21. They reported an average of 5.6 (sd = 2.65) adverse childhood events. The mean depression T- score (48.7, sd = 10.1) and anxiety T - score (51.5, sd = 10.1) were below published screening cutoffs for depressive (≥ 53) and anxiety disorders (≥ 59)22, suggesting relatively low mental health symptoms in the sample (with the caveat that no clinical cutoffs have been validated in Rwandan samples to date)23.

Table 1.

Descriptive statistics.

Double Exposed
(N = 30)
Single Exposed
(N = 31)
Control
(N = 30)
Overall
(N = 91)
Sex
 Female 15 (50.0%) 16 (51.6%) 15 (50.0%) 46 (50.5%)
 Male 15 (50.0%) 15 (48.4%) 15 (50.0%) 45 (49.5%)
Education
 Primary level 0 (0%) 3 (9.7%) 0 (0%) 3 (3.3%)
 Secondary level 29 (96.7%) 20 (64.5%) 25 (83.3%) 74 (81.3%)
 College level 1 (3.3%) 8 (25.8%) 5 (16.7%) 14 (15.4%)
Socioeconomic Status
 Poorest 6 (20.0%) 2 (6.5%) 0 (0%) 8 (8.8%)
 Poor 17 (56.7%) 14 (45.2%) 4 (13.3%) 35 (38.5%)
 Middle 7 (23.3%) 15 (48.4%) 26 (86.7%) 48 (52.7%)
 Wealthy 0 (0%) 0 (0%) 0 (0%) 0 (0%)
ACE total
 Mean (SD) 7.20 (2.12) 5.74 (2.45) 3.87 (2.29) 5.60 (2.65)
Depression T- score
 Mean (SD) 54.2 (9.45) 48.8 (8.82) 43.1 (4.75) 48.7 (9.08)
Anxiety T-score
 Mean (SD) 55.8 (10.9) 52.8 (9.17) 45.8 (7.31) 51.5 (10.1)

Associations between genocide exposure, early life adversity, and DNA methylation in candidate genes

211 CpG sites across 17 genes were associated with genocide trauma group status (see Supplemental Tables S3, S4); of these, only two survived correction for multiple testing, and only in the double-exposed vs. control contrast: cg06979684 located in BDNF and cg26438554 located in SLC6A4 (see Table 2) Following adjustment for postnatal ACEs, the site in BDNF no longer survived FDR, the site in SLC6A4 remained significant, and an additional contrast between single-exposed and controls at site cg18954401 located in PRDM8 also survived FDR (see Table 3).

Table 2.

Prenatal genocide exposure ~ DNA methylation with FDR (reference category = Control)

Contrast β SE 95% CI p-value Probe Gene
Double-exposed 0.22 0.055 0.12–0.33 4.6e−05 cg06979684 BDNF
Double-exposed − 0.33 0.075 − 0.48 to −  0.19 8.0e−06 cg26438554 SLC6A4

Table 3.

Prenatal genocide exposure + ACEs ~ DNA methylation with FDR (reference category = control).

Contrast β SE 95% CI p-value Probe Gene
Single-exposed − 0.34 0.082 − 0.49 to − 0.17 4.7e−05 cg18954401 PRDM8
Double-exposed − 0.37 0.087 − 0.54 to − 0.20 2.4e−05 cg26438554 SLC6A4

Associations between significant CpGs and depression and anxiety symptoms

The mean Promis-29 combined depression and anxiety total raw score was 13.70 (sd = 6.58) out of a possible range of 8–40, with greater scores corresponding to higher symptoms. Results of the Bayesian ordinal regression indicated that methylation at the sites in BDNF and SLC6A4, but not PRDM8, were associated with PROMIS-29 scores (see Table 4). A one standard deviation increase in methylation M-value at cg06979684 (BDNF), corresponded to a mean 2.88 increase in the PROMIS-29 score. At cg26438554 (SLC6A4), a one standard deviation increase in methylation M-value was associated with a mean score decrease of 1.14.

Table 4.

Probe specific DNA methylation and Promis-29 depression and anxiety symptoms.

Mean change + 1 sd DNAm 95% CI p-value Probe Gene
2.88 1.12–4.81 2.13e−4 cg06979684 BDNF
− 1.14 − 2.55 to − 0.04 0.049 cg26438554 SLC6A4
− 0.13 − 1.54 to 1.48 0.81 cg18954401 PRDM8

Discussion

We find that being conceived of genocidal rape (double-exposed) is associated with variation in DNA methylation at 2 CpG sites in BDNF and SLC6A4 relative to controls after correction for multiple testing. Adjustment for postnatal ACEs attenuated the relationship at the site in BDNF and revealed a new association in PRDM8 for the single exposed. Methylation at the sites in SLC6A4 and BDNF, but not PRDM8, were associated with depression and anxiety symptoms in the same direction as the prenatal exposure effects. In earlier work, we show that double-exposed young adults report worse physical and mental health when compared with their single exposed counterparts and controls18. Our results here shed light on the physiological consequences of those original findings, providing evidence that both prenatal and postnatal stressors jointly impact adult DNA methylation, with stronger associations for those who experience more severe trauma, but which are also attributable in part to postnatal adversity.

Broadly the directionality of methylation differences, exposure status, and depression and anxiety scores we found is supported by previous literature on prenatal stress and epigenetic variation. BDNF, which encodes brain-derived neurotrophic factor, is a well-studied neurotropin responsible for neural differentiation, apoptosis, survival, and synaptic pruning. BDNF is widely expressed in the periphery and crosses the blood-brain barrier; serum levels have been explored as a transdiagnostic biomarker of mental health disorders and treatment response24. Greater methylation within Exon 1 and overall lower BDNF transcript concentrations have been associated with major depression and anxiety disorders25. Increased methylation at cg06979684, which is located in the 3′UTR in Exon1 of BDNF, and which may regulate transcription and splicing, has been previously found in maltreated children26. Though they did not adjust for postnatal adversity, a study of 118 offspring of Kosovo war survivors found that only mothers with high levels of PTSD symptoms had offspring with correlated BDNF methylation and cortisol levels27. Similarly, Kertes et al. (2017) also found that war trauma was associated with newborn BDNF methylation in placenta and cord blood, as well as with maternal BDNF methylation in venous blood11.

Double-exposed participants had less methylation of cg26438554, located upstream of the transcription start site of SLC6A4. SLC6A4 encodes 5 HTT, responsible for the synaptic transport of serotonin. Greater peripheral 5 HTT expression has been associated with decreased serotonin signaling and increased depressive symptoms28,29. While methylation at this specific locus has not been associated with early life adversity, upstream decreased methylation of SLC6A4 Exon 1 has previously been associated with alternative splicing of SLC6A4, early life adversity and major depressive disorder30,31. Along with its association with more severe prenatal exposure (which did not attenuate following adjustment for ACES) we also find that decreased methylation at cg26438554 is associated with more depression and anxiety symptoms. Further research is needed to understand whether methylation at this site and/or SLC6A4 may be particularly sensitive to exposures during the prenatal, rather than the postnatal, period.

Finally, after adjusting for postnatal ACEs, an additional site in PRDM8 emerges as associated with genocide exposure (without rape) contrasted with the controls. PRDM8 encodes a histone methyltransferase responsible for modulating neuronal development and differentiation. Greater methylation of PRDM8 has been associated with the genocide against the Tutsi in a prior epigenome-wide study that evaluated 26 individuals conceived during the genocide (16 exposed, 10 controls), but we note this study was not able to examine the types of in utero maternal trauma or subsequent experiences32. While no other studies specifically associate cg18954401 methylation with trauma exposure, methylation at cg18954401 is a component of the Bohlin placental clock, signaling a potential relationship to developmental conditions and less indicative of postnatal experiences33.

Previous studies of DNA methylation early life exposure to genocide conducted in Holocaust survivors, Rwanda, and in the Democratic Republic of Congo focused on methylation and expression of the core gene regulating the hypothalamic-pituitary-adrenal axis: NR3C1, the glucocorticoid receptor (GR), NR3C2, the mineralocorticoid receptor, CRH, corticotropin-releasing-hormone, and FKBP5, a GR co-chaperone3436. While we did not replicate these findings, these early studies frequently did not conduct correction for multiple testing, and depending on the strength of those associations we may have been underpowered to detect them (see Supplemental Tables S3 and S4 for significant sites in NR3C1 and FKBP5 prior to FDR correction in this study). Unlike our study, Bierer et al. (2016)’s work in the adult children of Holocaust survivors found that adjustment for offspring postnatal childhood adversity, anxiety symptoms, genotype, and parental PTSD strengthened associations between parental Holocaust exposure and offspring FKBP5 methylation35. However, because all of these factors were adjusted for simultaneously, the specific contribution of postnatal adversity is difficult to ascertain.

Limitations

We note several limitations to our study. We have relatively less power to detect group differences in our small sample size and the large number of probes queried. Given our cross-sectional design with retrospective reports of early life adversity and single measure of DNA methylation, we caution against causal interpretations of our findings. Along with the potential for recall bias in any retrospective report, we also note that we did not conduct test-rest or formal cognitive interview procedures with the PROMIS-29 or ACEs. Prenatal genocide trauma and maternal genocidal rape are events nested within a complex life-course socioecology, and unmeasured confounding may also explain our findings (e.g. such as SES). In addition, recruitment from community organizations may bias study participation; individuals with less access to community resources and education may have different lived and embodied experiences (although it may be argued that this may make our estimates of the impact of the genocide more conservative). Certainly, more work is needed to disentangle these factors; despite this, our replication of previous findings and use of age and sex-matched comparison groups is a study strength and supports the value of continued research.

Conclusions

Epigenetic modifications may play a role in the increased susceptibility to mental health problems and poor health in individuals prenatally exposed to collective trauma. However, we find relationships between adult DNA methylation, prenatal exposure to genocidal rape, postnatal adversity, and adult mental illness are complex and should not be interpreted deterministically. In the Rwandan context, being born of genocidal rape is associated with variation in DNA methylation at two CpG sites in genes implicated in the neuroendocrine regulation of the stress response and which also showed associations with current depression and anxiety symptoms. However, adjusting for postnatal experiences attenuated the association in BDNF and revealed a new association in PRDM8, suggesting that what happens later in a child’s life has substantial impact on both their epigenome and future wellbeing, lending support to the importance of implementing systems of support in the postnatal period.

Methods

Participants

A sex-balanced, comparative cross-sectional sample of young adults (all 24 years of age) conceived during the genocide against the Tutsi as a result of genocidal rape (double-exposed, n = 30), conceived by genocide survivors without rape (single exposed, n = 31) and conceived and gestated by Tutsi mothers outside of Rwanda during the genocide. Institutional Review Boards of the University of Illinois at Chicago (UIC: 2018–1497), the University of Rwanda (UR No 063/CMHS IRB/2019) and Dartmouth College (STUDY0003231) approved all study procedures. All subjects provided informed consent and all study methods and procedures were performed in accordance with relevant guidelines and regulations. Additional information on participant recruitment and enrollment in the study is available in the Supplemental Information.

Adverse childhood experiences

Adverse childhood experiences were assessed by interview with a study author (G.U.), a trained mental health nurse. The ACE-IQ questionnaire assesses 13-categories of adverse childhood experiences37. The ACE-IQ was translated into Kinyarwanda by a professional translator. G.U. assessed the translation and successfully piloted its use in a separate group of Rwandan young adults. Internal consistency in this sample was acceptable  = 0.70). The total score was used in the analysis.

Depression and anxiety symptoms

Depression and anxiety symptoms were assessed by interview with the PROMIS-29 V2.0 scale, a 29-item measure of mental and physical health concerns. Eight items assessing anxiety and depression symptoms experienced in the past seven days are rated on a 5-point Likert-like scale with higher scores indicating more severity. Widely adapted to a variety of global settings, the PROMIS-29 has strong psychometric properties23. A professional Kinyarwanda translation was successfully piloted by the research team and showed good internal consistency in the present sample (α = 0.83). T-scores for the depression and anxiety subscales are reported in descriptive statistics to characterize the symptoms of the sample; the combined depression and anxiety raw subscale endorsements are used as the outcome in the ordinal regression model.

DNA methylation

Genome-wide DNA methylation was quantified from dried capillary blood spots, which were collected from participants via sterile finger stick immediately following the interview and air-dried for 4 h (see Supplemental Information). Two 6 mm hole punches were taken from four 125 µL spots. DNA was extracted using the QiAmp DNA Investigator Kit38. DNA methylation was measured with the Illumina Infinium MethylationEPIC microarray39. All samples passed a quality control pipeline using the “minfi” package in R (further described in the Supplement). Probe-specific DNA methylation beta values were transformed to M-values to better approximate a normal distribution40,41. Immune cell proportions were estimated using “FlowSorted.BloodExtended.EPIC”, which infers proportions of 12 immune cell types42. We conducted a principal components analysis of immune cell types; the first component explained 68.2% of the variance and was used to adjust for cell-type heterogeneity in subsequent analyses.

Data analysis

Selection of candidate genes

We focused our analysis on 19 candidate genes associated with metabolism, neurodevelopment, and the stress response that have previously been reported to be associated with early life adversity and/or war or genocide trauma exposure (see Supplemental Table S1)11,32,43. There were 958 total probes assessed, with 10–169 probes annotated to each gene.

Relationships between prenatal genocide exposure, postnatal adversity, DNA methylation and PROMIS-29 scores

All statistical analyses were conducted in R version 4.3.344. We tested associations between prenatal genocide trauma exposure (double-exposed, single-exposed, or control), adverse childhood events, and DNA methylation in the pool of 958 probes in a three-step process using multivariable linear models and applied a Benjamini-Hochberg false discovery rate of 0.05 to p-values to correct for multiple testing. We first regressed probe methylation M-values onto genocide trauma group status and then repeated the analysis with the ACE total score as an additional predictor. All analyses included sex and the first cell-type PC as covariates. Sex (assigned at birth) was chosen as a covariate as it may index physiological differences relevant to DNA methylation, as well as social differences in the experience and impact of prenatal trauma exposure. Significant contrasts (with the control as the reference category) were extracted from models using the “marginaleffects” package45.

To investigate the potential phenotypic relevance of significant sites, we conducted an exploratory analysis of sites that survived correction for multiple testing, examining associations between methylation and the combined Promis-29 depression and anxiety endorsements. Given the ordinal nature of the data46, a Bayesian ordinal regression with a cumulative-logit link function was performed using the “brms” package in Rstan47,48 with random intercept for item and participant, and fixed effects for methylation M-value and sex for each of the significant CpG sites identified in the first part of the analysis. Estimates, confidence intervals, and p-value were extracted with “bayestestR”49. See the Supplement for a justification of the approach and full details on the model specification.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1 (280.8KB, docx)
Supplementary Material 2 (44.3KB, xlsx)

Acknowledgements

We thank the participants who shared their experiences and contributed to this study. Funding was provided by Western University Faculty of Health Sciences; Dartmouth College - Goodman Faculty Research Grant, Society of Fellows Venture Funding, Neukom Institute for Computational Science and Christensen laboratory; and University of Illinois Chicago - College of Nursing & Graduate College We thank Erik J. Ringen for his thoughtful feedback on the statistical approach.

Author contributions

L.M.R. conducted statistical analyses and wrote the manuscript. G.U. designed the study, collected the data, interpreted results and reviewed and edited the manuscript. Z.M.T., B.C, and J.R. contributed to study design, interpreted results, and edited the manuscript. H.S. conducted laboratory and statistical analyses and edited the manuscript. All authors read and approved the final manuscript.

Data availability

Data and code will be made available by reasonable request to the corresponding author.

Declarations

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (280.8KB, docx)
Supplementary Material 2 (44.3KB, xlsx)

Data Availability Statement

Data and code will be made available by reasonable request to the corresponding author.


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