Sex Differences in Health Conditions Associated with Sexual Assault in a Large Hospital Population

Comparison of the multivariate genetic architecture of eight major psychiatric disorders across sex

Differences in the patterning of genetic sharing between groups of individuals may arise from biological pathways, social mechanisms, phenotyping and ascertainment. We expand genomic structural equation modeling to allow for testing genomic structural invariance (GSI), that is, the formal comparison of multivariate genetic architecture across groups. We apply GSI to compare the autosomal multivariate genetic architecture of eight psychiatric disorders spanning three factors (psychotic, neurodevelopmental and internalizing) between cisgender males and females. We find that the genetic factor structure is largely similar across sex, permitting meaningful comparisons of associations at the level of the factors. However, in females, problematic alcohol use and posttraumatic stress disorder loaded more strongly on the internalizing factor, while the neurodevelopmental disorder factor exhibited weaker genetic correlations with the other factors. Four phenotypes (educational attainment, insomnia, smoking and deprivation) showed significant, albeit small, sex-differentiated associations with the psychotic factor. As genome-wide association study samples grow and diversify, GSI will become increasingly valuable for comparing multivariate genetic architecture across groups.

Sexual Trauma, Polygenic Scores, and Mental Health Diagnoses and Outcomes

Importance

Leveraging real-world clinical biobanks to investigate the associations between genetic and environmental risk factors for mental illness may help direct clinical screening efforts and evaluate the portability of polygenic scores across environmental contexts.

Objective

To examine the associations between sexual trauma, polygenic liability to mental health outcomes, and clinical diagnoses of schizophrenia, bipolar disorder, and major depressive disorder in a clinical biobank setting.

Design, Setting, and Participants

This genetic association study was conducted using clinical and genotyping data from 96 002 participants across hospital-linked biobanks located at Vanderbilt University Medical Center (VUMC), Nashville, Tennessee (including 58 262 individuals with high genetic similarity to the 1000 Genomes Project [1KG] Northern European from Utah reference population [1KG-EU-clustered] and 11 047 with high genetic similarity to the 1KG African-ancestry reference population of Yoruba in Ibadan, Nigeria [1KG-YRI-clustered]), and Mass General Brigham (MGB), Boston, Massachusetts (26 693 individuals with high genetic similarity to the combined European-ancestry superpopulation [1KG-EU-clustered]). Clinical data analyzed included diagnostic billing codes and clinical notes spanning from 1976 to 2023. Data analysis was performed from 2022 to 2024.

Exposures

Clinically documented sexual trauma disclosures and polygenic scores for schizophrenia, bipolar disorder, and major depressive disorder.

Main Outcomes and Measures

Diagnoses of schizophrenia, bipolar disorder, and major depressive disorder, determined by aggregating related diagnostic billing codes, were the dependent variables in logistic regression models including sexual trauma disclosure status, polygenic scores, and their interactions as the independent variables.

Results

Across the VUMC and MGB biobanks, 96 002 individuals were included in analyses (VUMC 1KG-EU-clustered: 33 011 [56.7%] female; median [range] age, 56.8 [10.0 to >89] years; MGB 1KG-EU-clustered: 14 647 [54.9%] female; median [range] age, 58.0 [10.0 to >89] years; VUMC 1KG-YRI-clustered: 6961 [63.0%] female; median [range] age, 44.6 [10.1 to >89] years). Sexual trauma history was associated with all mental health conditions across institutions (ORs ranged from 8.83 [95% CI, 5.50-14.18] for schizophrenia in the VUMC 1KG-YRI-clustered cohort to 17.65 [95% CI, 12.77-24.40] for schizophrenia in the VUMC 1KG-EU-clustered cohort). Sexual trauma history and polygenic scores jointly explained 3.8% to 8.8% of mental health phenotypic variance. Schizophrenia and bipolar disorder polygenic scores had greater associations with mental health outcomes in individuals with no documented disclosures of sexual trauma (schizophrenia interaction: OR, 0.70 [95% CI, 0.56-0.88]; bipolar disorder interaction: OR, 0.83 [95% CI, 0.74-0.94]).

Conclusions and Relevance

Sexual trauma and mental health polygenic scores, while correlated with one another, were independent and joint risk factors for severe mental illness in a large, diverse hospital biobank population. Furthermore, associations of schizophrenia and bipolar disorder polygenic scores with respective diagnoses were greater in those without disclosures, suggesting that genetic predisposition to mental illness as measured by polygenic scores may be less impactful in the presence of this severe environmental risk factor.

Changes in attachment dimensions during the treatment of acute post-traumatic stress disorder in sexually assaulted Brazilian women

Introduction

Attachment patterns are established during early childhood; however, extreme experiences throughout life may change this structure, either toward attachment security or insecurity. We analyzed changes in attachment dimensions in women with acute post-traumatic stress disorder (PTSD) following sexual assault, that were randomized to a 14-week treatment with either the medication sertraline or Interpersonal Psychotherapy.

Methods

Seventy-four adult women who presented significant reduction in PTSD symptoms across the trial responded to the Revised Adult Attachment Scale at baseline, on week 8 of treatment, and at the end of the trial, on week 14. We fitted a generalized linear model to explain the attachment anxiety and avoidance scores at baseline. A generalized linear mixed model investigated how attachment dimensions changed over time. Socioeconomic data, treatment type, history of childhood trauma, and PTSD severity over the 14-week period were the considered covariates.

Results

At baseline, attachment anxiety was associated with a history of early trauma. Attachment anxiety remained stable during the follow-up. Attachment avoidance, on the other hand, significantly increased from baseline to week 14. Higher avoidance was observed in patients with higher total PTSD scores and on the cluster of hyperarousal symptoms. Races other than White (black, mixed-race, or Asian) and younger age were associated with higher attachment avoidance.

Discussion

Contrary to our expectations, attachment avoidance increased during follow-up, indicating changes in the interpersonal realm beyond the symptoms of PTSD.