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Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program

Authors :
Mihaela Aslan
John Concato
Matthew J. Girgenti
Kelly Cho
Yuk-Lam Ho
Hongyu Zhao
Murray B. Stein
Krishnan Radhakrishnan
Ronald S. Duman
Zhongshan Cheng
Gita A. Pathak
Joel Gelernter
Daniel F. Levey
Renato Polimanti
VA Million Veteran Program
Daniel C Posner
Frank R. Wendt
Kelly M. Harrington
Rachel Quaden
Source :
Nature genetics
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

We conducted genome-wide association analyses of over 250,000 participants of European (EUR) and African (AFR) ancestry from the Million Veteran Program using electronic health record-validated post-traumatic stress disorder (PTSD) diagnosis and quantitative symptom phenotypes. Applying genome-wide multiple testing correction, we identified three significant loci in European case-control analyses and 15 loci in quantitative symptom analyses. Genomic structural equation modeling indicated tight coherence of a PTSD symptom factor that shares genetic variance with a distinct internalizing (mood–anxiety–neuroticism) factor. Partitioned heritability indicated enrichment in several cortical and subcortical regions, and imputed genetically regulated gene expression in these regions was used to identify potential drug repositioning candidates. These results validate the biological coherence of the PTSD syndrome, inform its relationship to comorbid anxiety and depressive disorders and provide new considerations for treatment. Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in individuals of European and African ancestry provide insights into its relationship with anxiety and depressive disorders and identify potential candidates for drug repositioning.

Details

ISSN :
15461718 and 10614036
Volume :
53
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi.dedup.....7ec4dcc433e9d5da79c629ecf619c9b4