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Implications of gene × environment interactions in post-traumatic stress disorder risk and treatment
Carina Seah, Anne Elizabeth Sidamon-Eristoff, Laura M. Huckins, Kristen J. Brennand
Carina Seah, Anne Elizabeth Sidamon-Eristoff, Laura M. Huckins, Kristen J. Brennand
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Implications of gene × environment interactions in post-traumatic stress disorder risk and treatment

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Abstract

Exposure to traumatic stress is common in the general population. Variation in the brain’s molecular encoding of stress potentially contributes to the heterogeneous clinical outcomes in response to traumatic experiences. For instance, only a minority of those exposed to trauma will develop post-traumatic stress disorder (PTSD). Risk for PTSD is at least partially heritable, with a growing number of genetic factors identified through GWAS. A major limitation of genetic studies is that they capture only the genetic component of risk, whereas PTSD by definition requires an environmental traumatic exposure. Furthermore, the extent, timing, and type of trauma affects susceptibility. Here, we discuss the molecular mechanisms of PTSD risk together with gene × environment interactions, with a focus on how either might inform genetic screening for individuals at high risk for disease, reveal biological mechanisms that might one day yield novel therapeutics, and impact best clinical practices even today. To close, we discuss the interaction of trauma with sex, gender, and race, with a focus on the implications for treatment. Altogether, we suggest that predicting, preventing, and treating PTSD will require integrating both genotypic and environmental information.

Authors

Carina Seah, Anne Elizabeth Sidamon-Eristoff, Laura M. Huckins, Kristen J. Brennand

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Usage data is cumulative from November 2025 through November 2026.

Usage JCI PMC
Text version 3,004 414
PDF 467 35
Figure 272 0
Citation downloads 330 0
Totals 4,073 449
Total Views 4,522

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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