Frontiers in Neuroscience (Jun 2021)

A Genome-Wide Association Study and Polygenic Risk Score Analysis of Posttraumatic Stress Disorder and Metabolic Syndrome in a South African Population

  • Patricia C. Swart,
  • Patricia C. Swart,
  • Leigh L. van den Heuvel,
  • Leigh L. van den Heuvel,
  • Cathryn M. Lewis,
  • Soraya Seedat,
  • Soraya Seedat,
  • Sian M. J. Hemmings,
  • Sian M. J. Hemmings

DOI
https://doi.org/10.3389/fnins.2021.677800
Journal volume & issue
Vol. 15

Abstract

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Posttraumatic stress disorder (PTSD) is a trauma-related disorder that frequently co-occurs with metabolic syndrome (MetS). MetS is characterized by obesity, dyslipidemia, and insulin resistance. To provide insight into these co-morbidities, we performed a genome-wide association study (GWAS) meta-analysis to identify genetic variants associated with PTSD, and determined if PTSD polygenic risk scores (PRS) could predict PTSD and MetS in a South African mixed-ancestry sample. The GWAS meta-analysis of PTSD participants (n = 260) and controls (n = 343) revealed no SNPs of genome-wide significance. However, several independent loci, as well as five SNPs in the PARK2 gene, were suggestively associated with PTSD (p < 5 × 10–6). PTSD-PRS was associated with PTSD diagnosis (Nagelkerke’s pseudo R2 = 0.0131, p = 0.00786), PTSD symptom severity [as measured by CAPS-5 total score (R2 = 0.00856, p = 0.0367) and PCL-5 score (R2 = 0.00737, p = 0.0353)], and MetS (Nagelkerke’s pseudo R2 = 0.00969, p = 0.0217). These findings suggest an association between PTSD and PARK2, corresponding with results from the largest PTSD-GWAS conducted to date. PRS analysis suggests that genetic variants associated with PTSD are also involved in the development of MetS. Overall, the results contribute to a broader goal of increasing diversity in psychiatric genetics.

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