Leveraging Large-Scale Genetics of PTSD and Cardiovascular Disease to Demonstrate Robust Shared Risk and Improve Risk Prediction Accuracy.

Autor: Seligowski AV; Department of Psychiatry, Harvard Medical School, Boston (Seligowski, Misganaw, Ressler, Guffanti); McLean Hospital, Belmont, Mass. (all authors)., Misganaw B; Department of Psychiatry, Harvard Medical School, Boston (Seligowski, Misganaw, Ressler, Guffanti); McLean Hospital, Belmont, Mass. (all authors)., Duffy LA; Department of Psychiatry, Harvard Medical School, Boston (Seligowski, Misganaw, Ressler, Guffanti); McLean Hospital, Belmont, Mass. (all authors)., Ressler KJ; Department of Psychiatry, Harvard Medical School, Boston (Seligowski, Misganaw, Ressler, Guffanti); McLean Hospital, Belmont, Mass. (all authors)., Guffanti G; Department of Psychiatry, Harvard Medical School, Boston (Seligowski, Misganaw, Ressler, Guffanti); McLean Hospital, Belmont, Mass. (all authors).
Jazyk: angličtina
Zdroj: The American journal of psychiatry [Am J Psychiatry] 2022 Nov 01; Vol. 179 (11), pp. 814-823. Date of Electronic Publication: 2022 Sep 07.
DOI: 10.1176/appi.ajp.21111113
Abstrakt: Objective: Individuals with posttraumatic stress disorder (PTSD) are significantly more likely to be diagnosed with cardiovascular disease (CVD) (e.g., myocardial infarction, stroke). The evidence for this link is so compelling that the National Institutes of Health convened a working group to determine gaps in the literature, including the need for large-scale genomic studies to identify shared genetic risk. The aim of the present study was to address some of these gaps by utilizing PTSD and CVD genome-wide association study (GWAS) summary statistics in a large biobank sample to determine the shared genetic risk of PTSD and CVD.
Methods: A large health care biobank data set was used (N=36,412), combined with GWAS summary statistics from publicly available large-scale PTSD and CVD studies. Disease phenotypes (e.g., PTSD) were collected from electronic health records. De-identified genetic data from the biobank were genotyped using Illumina SNP array. Summary statistics data sets were processed with the following quality-control criteria: 1) SNP heritability h 2 >0.05, 2) compute z-statistics (z=beta/SE or z=log(OR)/SE), 3) filter nonvariable SNPs (0Results: Significant genetic correlations were found between PTSD and CVD (r G =0.24, SE=0.06), and Mendelian randomization analyses indicated a potential causal link from PTSD to hypertension (β=0.20, SE=0.04), but not the reverse. PTSD summary statistics significantly predicted PTSD diagnostic status (R 2 =0.27), and this was significantly improved by incorporating summary statistics from CVD and major depressive disorder (R 2 =1.30). Further, pathway enrichment analyses indicated that genetic variants involved in shared PTSD-CVD risk included those involved in postsynaptic structure, synapse organization, and interleukin-7-mediated signaling pathways.
Conclusions: The results from this study suggest that PTSD and CVD may share genetic risk. Further, these results implicate PTSD as a risk factor leading to the development of hypertension and coronary artery disease. Additional research is needed to determine the clinical utility of these findings.
Databáze: MEDLINE
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