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J. M. Gaziano

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Open access Aug 2026

Genomic Architecture of Migraine: A Multi ancestry GWAS Meta analysis of 2.5 Million Participants

Migraine is a leading cause of disability, yet preventive treatment remains largely empirical despite the availability of several mechanistically distinct therapies. Genetic data can clarify mechanisms and therapeutic hypotheses when association signals are integrated with molecular and clinical data. We meta-analyzed migraine GWAS data from 12 European ancestry cohorts (206,893 cases and 2,093,175 controls) and four African ancestry cohorts (22,115 cases and 178,626 controls). We identified 311 lead variants in European-ancestry analyses and 316 lead variants in trans-ancestry analysis. Fine-mapping and transcriptome-wide analyses prioritized variants and genes implicated in sensory neuronal signaling, vascular tone, and immune regulation, with convergent evidence at several established loci including TRPM8 and PHACTR1. Drug-repurposing analyses identified therapeutic targets and compounds, including established migraine treatments and candidates requiring experimental validation. Genetic correlations, Mendelian randomization, and a phenome-wide scan linked migraine liability to psychiatric, pain, and gastrointestinal phenotypes. Together, these findings expand the known genetic architecture of migraine across ancestries and provide a genetics-led map connecting association signals with biological pathways, multimorbidity and candidate therapeutic mechanisms, providing a foundation for future functional and translational studies.

C. Overstreet, M. Galimberti, K. Harsan et al. · 0 citations
Open access Aug 2026

PTSD is Associated with Advanced Epigenetic Age in 45,091 US Military Veterans

Background: Posttraumatic stress disorder (PTSD) has been associated with advanced biological age in DNA methylation data, but results have been inconsistent. This study evaluated PTSD in association with epigenetic age in the largest cohort to date (by about 20 fold). Methods: Participants were 45,091 US Veterans (92.76% male) enrolled in the VA Million Veteran Program, with VA electronic health record (EHR), self-report PTSD severity (n = 22,835), and DNA methylation and genotype data. PTSD diagnoses predated the blood draw for obtaining DNA by > = one year. Results: PTSD diagnosis, severity, and duration were associated with age-adjusted metrics of epigenetic age (age residuals) per the Horvath, Hannum, PhenoAge, GrimAge, and DunedinPACE epigenetic age algorithms after multiple testing adjustment. The strongest and most robust effect (to additional covariates) was evident for PTSD severity in association with GrimAge residuals (B = .029, adjusted-p = 2.48e-53, up to 2 years advanced age). The relationships between PTSD severity and GrimAge and PhenoAge residuals were stronger among younger vs. older Veterans. In stratified analyses, all PTSD variables were associated with all epigenetic age residuals in the European ancestry subgroup (n = 27,578), but significant associations only emerged for GrimAge and DunedinPACE in the African ancestry participants (n = 11,690). Conclusions: PTSD was associated with advanced epigenetic aging in the largest study to date to evaluate this question. Effects were generally small in magnitude, though meaningful when considering the personal and healthcare system impact of advanced aging in the large population of VA users with PTSD.

E. Wolf, R. Zhang, X. Zhao et al. · 0 citations

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