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Gene Expression Differences Between Young Adults Based on Trauma History and Post-traumatic Stress Disorder

Dados Bibliográficos

ID15528005
AutoresKaitlin E Bountre (0000-0001-7817-8341, Virginia Commonwealth University, autor correspondente), Kaitlin E Bountress, Vladimir I Vladimirov (0000-0002-7375-8950, Lieber Institute for Brain Development), Vladimir Vladimirov (0000-0002-0555-4999), Gowon O McMichael (Virginia Commonwealth University), Gowon McMichael, Zachary N Taylor (Virginia Commonwealth University), Z Nathan Taylor, Gary Hardiman (0000-0003-4558-0400, Queen's University Belfast), Dongjun Chung (0000-0002-8072-5671, Medical University of South Carolina), Zachary W Adams (0000-0001-8336-0797, Indiana University – Purdue University Indianapolis), Carla Kmett Danielson (0000-0001-5069-5072, National Center for Victims of Crime), Ananda B Amstadter (0000-0001-6285-9943, Virginia Commonwealth University)
Ano2021
Volume12
Páginas581093-581093
Data de publicação2021-04-08
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Psychiatry (JOURNAL)
Identificadores do periódicoISSN: 1664-0640 • E-ISSN: 1664-0640
EditoraFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.581093
PMID33897478
OpenAlexW3154069106
IdiomaEN
Referências citadas82

Background: The purpose of this study was to identify gene expression differences associated with post-traumatic stress disorder (PTSD) and trauma exposure (TE) in a three-group study design comprised of those with and without trauma exposure and PTSD. Methods: We conducted gene expression and gene network analyses in a sample ( n = 45) composed of female subjects of European Ancestry (EA) with PTSD, TE without PTSD, and controls. Results: We identified 283 genes differentially expressed between PTSD-TE groups. In an independent sample of Veterans ( n = 78) a small minority of these genes were also differentially expressed. We identified 7 gene network modules significantly associated with PTSD and TE (Bonferroni corrected p ≤ 0.05), which at a false discovery rate (FDR) of q ≤ 0.2, were significantly enriched for biological pathways involved in focal adhesion, neuroactive ligand receptor interaction, and immune related processes among others. Conclusions: This study uses gene network analyses to identify significant gene modules associated with PTSD, TE, and controls. On an individual gene level, we identified a large number of differentially expressed genes between PTSD-TE groups, a minority of which were also differentially expressed in the independent sample. We also demonstrate a lack of network module preservation between PTSD and TE, suggesting that the molecular signature of PTSD and trauma are likely independent of each other. Our results provide a basis for the identification of likely disease pathways and biomarkers involved in the etiology of PTSD

Bioinformatics · Biology · Bonferroni correction · Gene · Gene expression · Posttraumatic stress · Traumatic stress · Birth, Development, and Health · Clinical Psychology · Medicine · Posttraumatic Stress Disorder Research · Psychology · Stress Responses and Cortisol · Genetics

  • Psychometric Properties of the Life Events Checklist

    Open Access•Matt J Gray, Brett T Litz et al.•Assessment•2004

  • Wgcna

    Open Access•Peter Langfelder, Steve Horvath•BMC Bioinformatics•2008

  • Traumatic events and post‐traumatic stress disorder in the community

    Open Access•Axel Perkonigg, R C Kessler et al.•Acta Psychiatrica Scandinavica•2000

  • Gene set enrichment analysis

    Open Access•Aravind Subramanian, Pablo Tamayo et al.•Proceedings of the National…•2005

  • The epidemiology of traumatic event exposure worldwide

    Open Access•Corina Benjet, Evelyn J Bromet et al.•Psychological Medicine•2016

  • Trauma and PTSD in the WHO World Mental Health Surveys

    Open Access•R C Kessler, Sergio Aguilar-Gaxiola et al.•European Journal of Psychotraumatol…•2017

  • A Twin Study of the Association Between PTSD Symptoms and Rheumatoid Arthritis

    Joseph A Boscarino, Christopher W Forsberg et al.•Psychosomatic Medicine•2010

  • Redefine statistical significance

    Open Access•Daniel J Benjamin, James O Berger et al.•Nature Human Behaviour•2017

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