Title |
“Soldier's Heart”: A Genetic Basis for Elevated Cardiovascular Disease Risk Associated with Post-traumatic Stress Disorder
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Published in |
Frontiers in Molecular Neuroscience, September 2016
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DOI | 10.3389/fnmol.2016.00087 |
Pubmed ID | |
Authors |
Harvey B. Pollard, Chittari Shivakumar, Joshua Starr, Ofer Eidelman, David M. Jacobowitz, Clifton L. Dalgard, Meera Srivastava, Matthew D. Wilkerson, Murray B. Stein, Robert J. Ursano |
Abstract |
"Soldier's Heart," is an American Civil War term linking post-traumatic stress disorder (PTSD) with increased propensity for cardiovascular disease (CVD). We have hypothesized that there might be a quantifiable genetic basis for this linkage. To test this hypothesis we identified a comprehensive set of candidate risk genes for PTSD, and tested whether any were also independent risk genes for CVD. A functional analysis algorithm was used to identify associated signaling networks. We identified 106 PTSD studies that report one or more polymorphic variants in 87 candidate genes in 83,463 subjects and controls. The top upstream drivers for these PTSD risk genes are predicted to be the glucocorticoid receptor (NR3C1) and Tumor Necrosis Factor alpha (TNFA). We find that 37 of the PTSD candidate risk genes are also candidate independent risk genes for CVD. The association between PTSD and CVD is significant by Fisher's Exact Test (P = 3 × 10(-54)). We also find 15 PTSD risk genes that are independently associated with Type 2 Diabetes Mellitus (T2DM; also significant by Fisher's Exact Test (P = 1.8 × 10(-16)). Our findings offer quantitative evidence for a genetic link between post-traumatic stress and cardiovascular disease, Computationally, the common mechanism for this linkage between PTSD and CVD is innate immunity and NFκB-mediated inflammation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 12% |
Researcher | 7 | 12% |
Student > Doctoral Student | 7 | 12% |
Professor | 6 | 10% |
Student > Master | 4 | 7% |
Other | 10 | 17% |
Unknown | 19 | 32% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 18% |
Psychology | 7 | 12% |
Agricultural and Biological Sciences | 5 | 8% |
Computer Science | 3 | 5% |
Nursing and Health Professions | 3 | 5% |
Other | 8 | 13% |
Unknown | 23 | 38% |