Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts

The inclusion of exposure variables adds to the predictive power of MRS. Classification-based MRS may be useful in predicting risk of future PTSD in populations with anticipated trauma exposure. As more data become available, including additional molecular, environmental, and psychosocial factors in these scores may enhance their accuracy in predicting PTSD and, relatedly, improve their performance in independent cohorts.

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Publication Details

Journal
BMC Medical Genomics
Published
2024-09-27
DOI
https://doi.org/10.1186/s12920-024-02002-6
Citations
4
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.94

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article

Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts

Mark W. Miller, Agaz H. Wani, Jasmeet P. Hayes, Elbert Geuze et al.
4 citations
BMC Medical Genomics
Epigenetics and DNA Methylation
0.94
article

Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts

Mark W. Miller, Agaz H. Wani, Jasmeet P. Hayes, Elbert Geuze, Allison E. Aiello, Jurjen J. Luykx, Caroline M. Nievergelt, Mieke Verfaellie, Sheila A. M. Rauch, Bart P. F. Rutten, Adam X. Maihofer, Christiaan H. Vinkers, Shareefa Dalvie, Mary Sophia Mufford, Chia‐Yen Chen, William Milberg, Marco P. Boks, Eric Vermetten, Şeyma Katrinli, Adriana Lori, Ronald C. Kessler, Nastassja Koen, Leslie A. Brick, Derek E. Wildman, Erin B. Ware, Erika J. Wolf, Dan Joseph Stein, Kerry James Ressler, Murray B. Stein, Israel Liberzon, Robert J. Ursano, Alicia K. Smith, Anthony P. King, Nikolaos P. Daskalakis, Dewleen G. Baker, Anthony S. Zannas, Catherine Fortier, Xiang Zhao, Mark W Logue, Nicole R Nugent, Victoria B Risbrough, Monica Uddin
article en
4 citations

Abstract

The inclusion of exposure variables adds to the predictive power of MRS. Classification-based MRS may be useful in predicting risk of future PTSD in populations with anticipated trauma exposure. As more data become available, including additional molecular, environmental, and psychosocial factors in these scores may enhance their accuracy in predicting PTSD and, relatedly, improve their performance in independent cohorts.

BMC Medical GenomicsVol. 17(1)
Broad Institute (US), Boston University (US), University of North Carolina at Chapel Hill (US), Biogen (United States) (US), Western Cape Department of Health (ZA), Harvard University (US), Uniformed Services University of the Health Sciences (US), Emory University (US), University of Cape Town (ZA), University of South Florida (US), Brown University (US), Veterans Health Administration (US), Leiden University Medical Center (NL), Maastricht University Medical Centre (NL), McLean Hospital (US), VA Boston Healthcare System (US), University Medical Center Utrecht (NL), University of California San Diego (US), Ministry of Defence (NL), VA San Diego Healthcare System (US), National Center for PTSD (US), Amsterdam Neuroscience (NL), Geriatric Research Education and Clinical Center (US), Institute for Behavioral Medicine (US), Amsterdam University Medical Centers (NL), Institute for Social Research (NO), Stanley Center for Psychiatric Research, The Ohio State University (US), New York University (US), Columbia University (US), Vrije Universiteit Amsterdam (NL), University of the Western Cape (ZA), Texas A&M University (US), Bryan College (US)
U.S. Department of Defense, U.S. Department of Health and Human Services, U.S. Department of Veterans Affairs, Bill and Melinda Gates Foundation, National Institutes of Health, National Center for PTSD, U.S. Department of Veterans Affairs, National Institute of Mental Health, National Center for Advancing Translational Sciences
Good health and well-being
Openalex Percentile: Top 25%
Epigenetics and DNA Methylation
0.94
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