Department of Economics and Business Economics

Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

DOI

  • Mackenzie J Lind, University of Washington, Virginia Commonwealth University, Virginia
  • ,
  • Leslie A Brick, Brown University
  • ,
  • Philip R Gehrman, University of Pennsylvania
  • ,
  • Laramie E Duncan, Stanford University
  • ,
  • Bizu Gelaye, Harvard School of Medicine
  • ,
  • Adam X Maihofer, University of California, San Diego, VA San Diego Healthcare System
  • ,
  • Caroline M Nievergelt, VA San Diego Healthcare System, University of California, San Diego
  • ,
  • Nicole R Nugent, Bradley/Hasbro Children's Research Center of Rhode Island Hospital, RI., Brown University
  • ,
  • Murray B Stein, University of California, San Diego, VA San Diego Healthcare System
  • ,
  • Ananda B Amstadter, Virginia Commonwealth University
  • ,
  • Psychiatric Genomics Consortium Posttraumatic Stress Disorder

STUDY OBJECTIVES: Sleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. While both sleep phenotypes and PTSD are moderately heritable, there has been a paucity of investigation into potential genetic overlap between sleep and PTSD. Here, we estimate genetic correlations between multiple sleep phenotypes (including insomnia symptoms, sleep duration, daytime sleepiness, and chronotype) and PTSD, using results from the largest genome-wide association study (GWAS) to date of PTSD, as well as publicly available GWAS results for sleep phenotypes within UK Biobank data (23 variations, encompassing four main phenotypes).

METHODS: Genetic correlations were estimated utilizing linkage disequilibrium score regression (LDSC), an approach that uses GWAS summary statistics to compute genetic correlations across traits, and Mendelian randomization (MR) analyses were conducted to follow up on significant correlations.

RESULTS: Significant, moderate genetic correlations were found between insomnia symptoms (rg range 0.36-0.49), oversleeping (rg range 0.32-0.44), undersleeping (rg range 0.48-0.49), and PTSD. In contrast, there were mixed results for continuous sleep duration and daytime sleepiness phenotypes, and chronotype was not correlated with PTSD. MR analyses did not provide evidence for casual effects of sleep phenotypes on PTSD.

CONCLUSION: Sleep phenotypes, particularly insomnia symptoms and extremes of sleep duration, have shared genetic etiology with PTSD, but causal relationships were not identified. This highlights the importance of further investigation into the overlapping influences on these phenotypes as sample sizes increase and new methods to investigate directionality and causality become available.

Original languageEnglish
Article numberzsz257
JournalSleep
Volume43
Issue4
ISSN0161-8105
DOIs
Publication statusPublished - Apr 2020

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