DNA methylation in repetitive elements and post-traumatic stress disorder: a case–control study of US military service members
| Autor: | Ligong Chen, Lei Zhang, Liying Yan, Andrea A. Baccarelli, Vasantha Srikantan, Matthew L Polin, Jennifer A. Rusiecki |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Adult
Male Cancer Research medicine.medical_specialty Military service Biology Logistic regression Article Epigenesis Genetic Stress Disorders Post-Traumatic Young Adult Alu Elements Internal medicine Odds Ratio Genetics medicine Humans Serum dna Traumatic stress Case-control study DNA Sequence Analysis DNA Odds ratio Service member DNA Methylation United States Logistic Models Long Interspersed Nucleotide Elements Military Personnel Case-Control Studies DNA methylation Female |
| Zdroj: | Epigenomics. 4:29-40 |
| ISSN: | 1750-192X 1750-1911 |
| DOI: | 10.2217/epi.11.116 |
| Popis: | Aim: We investigated serum DNA methylation patterns in genomic repetitive elements, LINE-1 and Alu, for post-traumatic stress disorder (PTSD) cases and controls who were US military service members recently deployed to Afghanistan or Iraq. Methods: Cases (n = 75) had a postdeployment diagnosis of PTSD. Controls (n = 75) were randomly selected service members with no postdeployment PTSD diagnosis. Pre- and post-deployment sera were accessed, DNA was extracted and DNA methylation (percentage 5-methyl cytosine) was quantified via pyrosequencing. Conditional and unconditional logistic regressions were used to compare: cases post- to pre-deployment; controls post- to pre-deployment; cases to controls predeployment; cases to controls postdeployment. Results: LINE-1 was hypermethylated in controls post- versus pre-deployment (odds ratio [OR]: 1.33; 95% CI: 1.06–1.65) and hypomethylated in cases versus controls postdeployment (OR: 0.82; 95% CI: 0.67–1.01). Alu was hypermethylated for cases versus controls predeployment (OR: 1.46; 95% CI: 1.08–1.97). Conclusion: Patterns of hypermethylation of LINE-1 in controls postdeployment and of Alu in cases postdeployment are intriguing and may suggest resilience or vulnerability factors. |
| Databáze: | OpenAIRE |
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