Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes

Objective: Posttraumatic stress disorder (PTSD) and life satisfaction phenotypes are inversely related on a phenotypic level. Given these established relations, researchers have begun to examine possible shared genetic contributions to these outcomes, though the existing genetic literature is sparse...

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Main Authors: Shannon E. Cusack, Anna W. Wright, Peter B. Barr, Emily Notari, Kaitlin E. Bountress, Ananda B. Amstadter
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:European Journal of Psychotraumatology
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Online Access:https://www.tandfonline.com/doi/10.1080/20008066.2025.2463187
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author Shannon E. Cusack
Anna W. Wright
Peter B. Barr
Emily Notari
Kaitlin E. Bountress
Ananda B. Amstadter
author_facet Shannon E. Cusack
Anna W. Wright
Peter B. Barr
Emily Notari
Kaitlin E. Bountress
Ananda B. Amstadter
author_sort Shannon E. Cusack
collection DOAJ
description Objective: Posttraumatic stress disorder (PTSD) and life satisfaction phenotypes are inversely related on a phenotypic level. Given these established relations, researchers have begun to examine possible shared genetic contributions to these outcomes, though the existing genetic literature is sparse and examines these relations via univariate methods. We sought to examine the genetic architecture of PTSD and six life satisfaction and well-being phenotypes (i.e. subjective well-being, friend satisfaction, life satisfaction, family satisfaction, work satisfaction, and financial satisfaction) using a multivariate approach.Method: We used Genomic Structural Equation Modeling (gSEM) to analyze summary-level genetic data from large-scale GWAS of the European Ancestry.Results: Findings show that a two, correlated factors model fit the data best, in which PTSD and life satisfaction phenotypes load on separate but correlated factors.Conclusions: Findings suggest that, using multivariate methods, a latent factor capturing many different positive phenotypes is genetically related to PTSD. This finding confirms and extends prior phenotypic work demonstrating that PTSD and positive phenotypes are inversely related.
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spelling doaj-art-31859498e47e45aaa9bea537af1ab9c82025-08-20T03:22:16ZengTaylor & Francis GroupEuropean Journal of Psychotraumatology2000-80662025-12-0116110.1080/20008066.2025.2463187Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypesShannon E. Cusack0Anna W. Wright1Peter B. Barr2Emily Notari3Kaitlin E. Bountress4Ananda B. Amstadter5Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USADepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, USAInstitute for Genomics in Health, Psychiatry, State University of New York- Downstate, Brooklyn, NY, USASchool of Medicine, Virginia Commonwealth University, Richmond, VA, USAVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USAVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USAObjective: Posttraumatic stress disorder (PTSD) and life satisfaction phenotypes are inversely related on a phenotypic level. Given these established relations, researchers have begun to examine possible shared genetic contributions to these outcomes, though the existing genetic literature is sparse and examines these relations via univariate methods. We sought to examine the genetic architecture of PTSD and six life satisfaction and well-being phenotypes (i.e. subjective well-being, friend satisfaction, life satisfaction, family satisfaction, work satisfaction, and financial satisfaction) using a multivariate approach.Method: We used Genomic Structural Equation Modeling (gSEM) to analyze summary-level genetic data from large-scale GWAS of the European Ancestry.Results: Findings show that a two, correlated factors model fit the data best, in which PTSD and life satisfaction phenotypes load on separate but correlated factors.Conclusions: Findings suggest that, using multivariate methods, a latent factor capturing many different positive phenotypes is genetically related to PTSD. This finding confirms and extends prior phenotypic work demonstrating that PTSD and positive phenotypes are inversely related.https://www.tandfonline.com/doi/10.1080/20008066.2025.2463187Genomic structural equation modellingposttraumatic stress disorderlife satisfactiongeneticsModelado de ecuaciones estructurales genómicastrastorno de estrés postraumático
spellingShingle Shannon E. Cusack
Anna W. Wright
Peter B. Barr
Emily Notari
Kaitlin E. Bountress
Ananda B. Amstadter
Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes
European Journal of Psychotraumatology
Genomic structural equation modelling
posttraumatic stress disorder
life satisfaction
genetics
Modelado de ecuaciones estructurales genómicas
trastorno de estrés postraumático
title Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes
title_full Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes
title_fullStr Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes
title_full_unstemmed Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes
title_short Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes
title_sort using genomic structural equation modeling to examine the genetic architecture of ptsd and life satisfaction phenotypes
topic Genomic structural equation modelling
posttraumatic stress disorder
life satisfaction
genetics
Modelado de ecuaciones estructurales genómicas
trastorno de estrés postraumático
url https://www.tandfonline.com/doi/10.1080/20008066.2025.2463187
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