Effects of genetically predicted posttraumatic stress disorder on autoimmune phenotypes.

Journal: Translational psychiatry

Volume: 14

Issue: 1

Year of Publication: 

Affiliated Institutions:  Department of Psychiatry, University of California San Diego, La Jolla, CA, USA. amaihofer@health.ucsd.edu. Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA. Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa. Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA. VA Connecticut Healthcare Center, West Haven, CT, USA. Department of Psychiatry, University of California San Diego, La Jolla, CA, USA. Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA. Department of Epidemiology and Health Sciences, Naval Health Research Center, San Diego, CA, USA. Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA. VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA. Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA.

Abstract summary 

Observational studies suggest that posttraumatic stress disorder (PTSD) increases risk for various autoimmune diseases. Insights into shared biology and causal relationships between these diseases may inform intervention approaches to PTSD and co-morbid autoimmune conditions. We investigated the shared genetic contributions and causal relationships between PTSD, 18 autoimmune diseases, and 3 immune/inflammatory biomarkers. Univariate MiXeR was used to contrast the genetic architectures of phenotypes. Genetic correlations were estimated using linkage disequilibrium score regression. Bi-directional, two-sample Mendelian randomization (MR) was performed using independent, genome-wide significant single nucleotide polymorphisms; inverse variance weighted and weighted median MR estimates were evaluated. Sensitivity analyses for uncorrelated (MR PRESSO) and correlated horizontal pleiotropy (CAUSE) were also performed. PTSD was considerably more polygenic (10,863 influential variants) than autoimmune diseases (median 255 influential variants). However, PTSD evidenced significant genetic correlation with nine autoimmune diseases and three inflammatory biomarkers. PTSD had putative causal effects on autoimmune thyroid disease (p = 0.00009) and C-reactive protein (CRP) (p = 4.3 × 10). Inferences were not substantially altered by sensitivity analyses. Additionally, the PTSD-autoimmune thyroid disease association remained significant in multivariable MR analysis adjusted for genetically predicted inflammatory biomarkers as potential mechanistic pathway variables. No autoimmune disease had a significant causal effect on PTSD (all p values > 0.05). Although causal effect models were supported for associations of PTSD with CRP, shared pleiotropy was adequate to explain a putative causal effect of CRP on PTSD (p = 0.18). In summary, our results suggest a significant genetic overlap between PTSD, autoimmune diseases, and biomarkers of inflammation. PTSD has a putative causal effect on autoimmune thyroid disease, consistent with existing epidemiologic evidence. A previously reported causal effect of CRP on PTSD is potentially confounded by shared genetics. Together, results highlight the nuanced links between PTSD, autoimmune disorders, and associated inflammatory signatures, and suggest the importance of targeting related pathways to protect against disease and disability.

Authors & Co-authors:  Maihofer Ratanatharathorn Hemmings Costenbader Michopoulos Polimanti Rothbaum Seedat Mikita Smith Salem Shaffer Wu Sebat Ressler Stein Koenen Wolf Sumner Nievergelt

Study Outcome 

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Statistics
Citations :  American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th edition. Arlington, VA, USA: American Psychiatric Association; 2013.
Authors :  22
Identifiers
Doi : 10.1038/s41398-024-02869-0
SSN : 2158-3188
Study Population
Male,Female
Mesh Terms
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
United States