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Polygenic Prediction of PTSD Trajectories and Inflammation in 9/11 Responders



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  • Personal Author:
  • Description:
    Polygenic risk scores (PRS), an aggregate of individual genetic variants associated with the disorder, can help identify vulnerable individuals and clarify biological mechanisms underpinning PTSD, such as systemic inflammation. However, it remains unclear whether PTSD-PRS is predictive of PTSD in civilians with occupational exposures (e.g. police officers), and whether it predicts the long-term course of PTSD (e.g., resilient, chronic, worsening, and improving trajectories). Furthermore, the nature of association between PTSD and inflammation remains poorly understood. The study involved conducting genotype and inflammatory assays on biobanked blood samples from 8,000 responders to 9/11 disaster from the Long Island WTC Health Program. The level of disaster exposure and an extensive prospective psychiatric and medical history were available for this cohort from electronic medical records collected since 2002. The specific aims of the grant were: 1. Test whether markers of genetic vulnerability to PTSD are associated with PTSD diagnoses and symptoms; 2. Investigate whether markers of genetic vulnerability to PTSD predict 18-year course of PTSD symptoms in responders; 3. Study the role of genetic vulnerability in the association between PTSD and inflammation. The most important outcomes of this project are two major findings. First, we determined that polygenic risk scores for mental disorders predict PTSD trajectories in responders to WTC disaster. Polygenic biomarkers can help to identify people at elevated risk of PTSD and also of more protracted course of this disorder. Second, we identified a protein signature of PTSD in whole blood of responders. This signature may help to detect PTSD and track its worsening and improvement over time (e.g., in response to treatment). Of note, these biomarkers are only modestly related to PTSD, and they are not ready for clinical use at this time. However, further research is expected to improve accuracy of both polygenic and proteomic signatures, and they can become useful clinically. [Description provided by NIOSH]
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  • Pages in Document:
    1-18
  • NIOSHTIC Number:
    nn:20069697
  • Citation:
    Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, U01-OH-011864, 2024 Jan; :1-18
  • Contact Point Address:
    Roman I. Kotov, PhD, State University New York Stony Brook, Stony Brook, NY, 11794-3362
  • Email:
    roman.kotov@stonybrook.edu
  • Federal Fiscal Year:
    2024
  • Performing Organization:
    State University of New York - Stony Brook
  • Peer Reviewed:
    False
  • Start Date:
    20190701
  • Source Full Name:
    National Institute for Occupational Safety and Health
  • End Date:
    20210630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:74da5d984efbe1a43b61d97bfc3a7764dfaf49948ed542fe1d11b97ecd570478fc26f3e90307b964cad7d10176cb18590e3418dd8f0df505435b62f7becd3235
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  • File Type:
    Filetype[PDF - 1.90 MB ]
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