Biomedical subjects

Erin C Dunn

Publications and source records attributed to Erin C Dunn.

3 recordsLinked to original sources

PubMed2026

Can Psychiatric Genetics Advance Without Incorporating a Life Course Perspective?

Psychiatric disorders unfold over the life course; however, genomic studies of these conditions overwhelmingly rely on phenotypes collected at a single time point, often in adulthood. Therefore, genome-wide association studies (GWASs) of psychiatric conditions may miss genetic variants with time-varying relevance to etiology, prevention, and treatment, such as those that influence trajectories of symptoms and behaviors, age at onset, course of treatment response, and the co-evolution of comorbidities. With recent advances in longitudinal biobanks and analytic tools, we posit that incorporating a life course perspective in psychiatric genetics will enable critically relevant insights into each of these areas of investigation. We propose that the current inconsistent portability of polygenic scores across age groups can be reconciled through the design of carefully considered longitudinal GWASs in age-diverse samples. Pioneering longitudinal GWASs in psychiatry have revealed novel genomic signals associated with time-dependent phenotypes that are distinct from those influencing lifetime diagnosis, suggesting that the study of longitudinal phenotypes will complement cross-sectional approaches and empower biological and therapeutic discoveries. Advances in post-GWAS functional annotation resources and analytic approaches now enable us to contextualize the genetic contributions to psychiatric disorders as dynamic age- and exposure-dependent processes. Although longitudinal GWASs pose unique challenges with regard to data availability, selection bias, and missing data, integrating temporality into psychiatric genetics at scale is now attainable and promises to reveal novel biology and therapeutic opportunities for psychiatric conditions.

Cohort study↗

PubMed2025

Developmental timing of index trauma exposure and accelerated epigenetic aging in United States military veterans.

Trauma exposure has been linked to accelerated GrimAge, an epigenetic biomarker of premature morbidity and mortality. Building on this evidence, the present study examined whether the type and timing of index trauma exposure are differentially associated with accelerated GrimAge. Participants were 873 European American male United States military Veterans from the National Health and Resilience in Veterans Study. We investigated associations between self-reported age at index trauma, index trauma type (interpersonal violence, non-interpersonal trauma, or loss/instability/other), and accelerated GrimAge, operationalized as GrimAge exceeding chronological age by five or more years. Results revealed that interpersonal violence was associated with three-fold greater odds of accelerated GrimAge compared to other trauma types. Age at index trauma was not independently associated with accelerated GrimAge. However, we observed a significant interaction between trauma type and its developmental timing, even after adjusting for index trauma recency, cumulative trauma burden, and other potential confounders. Specifically, Veterans who were older at the time of exposure to interpersonal violence or trauma involving loss or instability had higher odds of accelerated GrimAge. In contrast, exposure to non-interpersonal trauma was more strongly associated with accelerated GrimAge when it occurred at younger ages. These results indicate that trauma type and timing jointly influence epigenetic aging in Veterans, highlighting the need for tailored interventions that address specific trauma characteristics to reduce associated long-term health risks in this population.

Humans↗

PubMed2024

Depressive symptoms in adolescence and adult educational and employment outcomes: a structured life course analysis.

BACKGROUND: Depression is a common mental health disorder that often starts during adolescence, with potentially important future consequences including 'Not in Education, Employment or Training' (NEET) status. METHODS: We took a structured life course modeling approach to examine how depressive symptoms during adolescence might be associated with later NEET status, using a high-quality longitudinal data resource. We considered four plausible life course models: (1) an early adolescent sensitive period model where depressive symptoms in early adolescence are more associated with later NEET status relative to exposure at other stages; (2) a mid adolescent sensitive period model where depressive symptoms during the transition from compulsory education to adult life might be more deleterious regarding NEET status; (3) a late adolescent sensitive period model, meaning that depressive symptoms around the time when most adults have completed their education and started their careers are the most strongly associated with NEET status; and (4) an accumulation of risk model which highlights the importance of chronicity of symptoms. RESULTS: Our analysis sample included participants with full information on NEET status (N = 3951), and the results supported the accumulation of risk model, showing that the odds of NEET increase by 1.015 (95% CI 1.012-1.019) for an increase of 1 unit in depression at any age between 11 and 24 years. CONCLUSIONS: Given the adverse implications of NEET status, our results emphasize the importance of supporting mental health during adolescence and early adulthood, as well as considering specific needs of young people with re-occurring depressed mood.

Humans↗