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Get Free AccessThe 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.
Agaz H. Wani, Şeyma Katrinli, Xiang Zhao, Nikolaos P. Daskalakis, Anthony S. Zannas, Allison E. Aiello, Dewleen G. Baker, Marco P. Boks, Leslie A. Brick, Chia‐Yen Chen, Shareefa Dalvie, Catherine Fortier, Elbert Geuze, Jasmeet P. Hayes, Ronald C. Kessler, Anthony P. King, Nastassja Koen, Israel Liberzon, Adriana Lori, Jurjen J. Luykx, Adam X. Maihofer, William Milberg, Mark W. Miller, Mary S. Mufford, Nicole R Nugent, Sheila A. M. Rauch, Kerry J. Ressler, Victoria B Risbrough, Bart P. F. Rutten, Dan Joseph Stein, Murray B. Stein, Robert J. Ursano, Mieke Verfaellie, Eric Vermetten, Christiaan H. Vinkers, Erin B. Ware, Derek E. Wildman, Erika J. Wolf, Caroline M. Nievergelt, Mark W Logue, Alicia K. Smith, Monica Uddin (2024). Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts. , 17(1), DOI: https://doi.org/10.1186/s12920-024-02002-6.
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Type
Article
Year
2024
Authors
42
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1186/s12920-024-02002-6
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