The Glucocorticoid Receptor Gene (NR3C1) 9 beta SNP Is Associated with Posttraumatic Stress Disorder

• Type: Article in International Scientific Journal
• Date: 2021

Authors

I Castro-Vale (Author) FMUP; Duraes, C (Author) Other; van Rossum, EFC (Author) Other; Staufenbiel, SM (Author) Other; Severo M (Author) ICBAS; Lemos, MC (Author) Other; Carvalho, Davide (Author) FMUP

Journal

Title: Healthcare

Vol. 9 No. 4

Final page: 173

ISSN: 2213-0764

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 15 Citations

Other information

Authenticus ID: P-00T-FAR

DOI: 10.3390/healthcare9020173

Abstract (EN): Posttraumatic stress disorder (PTSD) has been associated with glucocorticoid (GC) hypersensitivity. Although genetic factors account for 30-46% of the variance in PTSD, no associations have been found between single nucleotide polymorphisms (SNPs) of the GC receptor (GR) gene (NR3C1) and risk for this disorder. We studied the association of five SNPs in the GR gene (rs10052957, rs6189/rs6190, rs6195, rs41423247, and rs6198) and haplotypes with PTSD, in a group of Portuguese male war veterans (33 with lifetime PTSD, 28 without). To determine whether the 9 beta SNP (rs6198) was associated with chronically altered cortisol levels, we evaluated hair cortisol concentrations (HCC) in a sample of 69 veterans' offspring. The 9 beta variant (G allele) was significantly associated with lifetime PTSD under a dominant model of inheritance. The 9 beta variant was also significantly associated with severity of current PTSD symptoms. The haplotype analysis revealed an association between a common haplotype comprising the 9 beta risk allele and lifetime PTSD. Carriers of the 9 beta risk allele had significantly lower HCC than non-carriers. We found the 9 beta risk allele and a haplotype comprising the 9 beta risk allele of the GR gene to be associated with PTSD in veterans. This 9 beta risk allele was also associated with lower HCC in their offspring.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11