Scientific article
Meta-analysis
OA Policy
English

A Genome-Wide Association Study of Outcome After Aneurysmal Subarachnoid Haemorrhage : Discovery Analysis

Published inTranslational stroke research, vol. 14, no. 5, p. 681-687
Publication date2023-10
First online date2022-10-20
Abstract

Candidate gene studies have identified genetic variants associated with clinical outcomes following aneurysmal subarachnoid haemorrhage (aSAH), but no genome-wide association studies have been performed to date. Here we report the results of the discovery phase of a two-stage genome-wide meta-analysis of outcome after aSAH. We identified 157 independent loci harbouring 756 genetic variants associated with outcome after aSAH (p < 1 × 10-4), which require validation. A single variant (rs12949158), in SPNS2, achieved genome-wide significance (p = 4.29 × 10-8) implicating sphingosine-1-phosphate signalling in outcome after aSAH. A large multicentre international effort to recruit samples for validation is required and ongoing. Validation of these findings will provide significant insight into the pathophysiology of outcomes after aSAH with potential implications for treatment.

Keywords
  • Genetics, Medical
  • Outcome assessment, Health care
  • Stroke
  • Subarachnoid haemorrhage
  • Humans
  • Subarachnoid Hemorrhage / complications
  • Genome-Wide Association Study
  • Longitudinal Studies
  • Treatment Outcome
Citation (ISO format)
GAASTRA, Ben et al. A Genome-Wide Association Study of Outcome After Aneurysmal Subarachnoid Haemorrhage : Discovery Analysis. In: Translational stroke research, 2023, vol. 14, n° 5, p. 681–687. doi: 10.1007/s12975-022-01095-4
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
Journal ISSN1868-4483
66views
46downloads

Technical informations

Creation03/01/2024 09:23:18
First validation23/04/2024 15:08:00
Update time02/04/2025 06:58:18
Status update02/04/2025 06:58:18
Last indexation02/04/2025 07:04:53
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack