| Title: | Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity |
| Journal: | Stroke |
| Published: | 19 Jan 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36655558/ |
| DOI: | https://doi.org/10.1161/strokeaha.122.040715 |
| URL: | https://www.ahajournals.org/doi/pdf/10.1161/STROKEAHA.122.040715 |
| Citations: | 9 (9 in last 2 years) as of 8 Aug 2024 |
Publication 10986
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Abstract
BACKGROUND: Recently, common genetic risk factors for intracranial aneurysm (IA) and aneurysmal subarachnoid hemorrhage (ASAH) were found to explain a large amount of disease heritability and therefore have potential to be used for genetic risk prediction. We constructed a genetic risk score to (1) predict ASAH incidence and IA presence (combined set of unruptured IA and ASAH) and (2) assess its association with patient characteristics.</p>
METHODS: A genetic risk score incorporating genetic association data for IA and 17 traits related to IA (so-called metaGRS) was created using 1161 IA cases and 407 392 controls from the UK Biobank population study. The metaGRS was validated in combination with risk factors blood pressure, sex, and smoking in 828 IA cases and 68 568 controls from the Nordic HUNT population study. Furthermore, we assessed association between the metaGRS and patient characteristics in a cohort of 5560 IA patients.</p>
RESULTS: Per SD increase of metaGRS, the hazard ratio for ASAH incidence was 1.34 (95% CI, 1.20-1.51) and the odds ratio for IA presence 1.09 (95% CI, 1.01-1.18). Upon including the metaGRS on top of clinical risk factors, the concordance index to predict ASAH hazard increased from 0.63 (95% CI, 0.59-0.67) to 0.65 (95% CI, 0.62-0.69), while prediction of IA presence did not improve. The metaGRS was statistically significantly associated with age at ASAH (β=-4.82×10-3 per year [95% CI, -6.49×10-3 to -3.14×10-3]; P=1.82×10-8), and location of IA at the internal carotid artery (odds ratio=0.92 [95% CI, 0.86-0.98]; P=0.0041).</p>
CONCLUSIONS: The metaGRS was predictive of ASAH incidence, although with limited added value over clinical risk factors. The metaGRS was not predictive of IA presence. Therefore, we do not recommend using this metaGRS in daily clinical care. Genetic risk does partly explain the clinical heterogeneity of IA warranting prioritization of clinical heterogeneity in future genetic prediction studies of IA and ASAH.</p>
501 Authors
- Mark K. Bakker
- Jos P. Kanning
- Gad Abraham
- Amy E. Martinsen
- Bendik S. Winsvold
- John-Anker Zwart
- Romain Bourcier
- Tomonobu Sawada
- Masaru Koido
- Yoichiro Kamatani
- Sandrine Morel
- Philippe Amouyel
- Stéphanie Debette
- Philippe Bijlenga
- Takiy Berrandou
- Santhi K. Ganesh
- Nabila Bouatia-Naji
- Gregory Jones
- Matthew Bown
- Gabriel J.E. Rinkel
- Jan H. Veldink
- Ynte M. Ruigrok
- Anne Hege Aamodt
- Anne Heidi Skogholt
- Ben M Brumpton
- Cristen J Willer
- Else C Sandset
- Espen S Kristoffersen
- Hanne Ellekjær
- Ingrid Heuch
- Jonas B Nielsen
- Knut Hagen
- Kristian Hveem
- Lars G Fritsche
- Laurent F Thomas
- Linda M Pedersen
- Maiken E Gabrielsen
- Oddgeir L Holmen
- Sigrid Børte
- Wei Zhou
- Shérine Abboud
- Massimo Pandolfo
- Vincent Thijs
- Didier Leys
- Marie Bodenant
- Fabien Louillet
- Emmanuel Touzé
- Jean-Louis Mas
- Yves Samson
- Sara Leder
- Anne Léger
- Sandrine Deltour
- Sophie Crozier
- Isabelle Méresse
- Sandrine Canaple
- Olivier Godefroy
- Maurice Giroud
- Yannick Béjot
- Pierre Decavel
- Elizabeth Medeiros
- Paola Montiel
- Thierry Moulin
- Fabrice Vuillier
- Jean Dallongeville
- Antti J Metso
- Tiina Metso
- Turgut Tatlisumak
- Caspar Grond-Ginsbach
- Christoph Lichy
- Manja Kloss
- Inge Werner
- Marie-Luise Arnold
- Michael Dos Santos
- Armin Grau
- Martin Dichgans
- Constanze Thomas-Feles
- Ralf Weber
- Tobias Brandt
- Alessandro Pezzini
- Valeria De Giuli
- Filomena Caria
- Loris Poli
- Alessandro Padovani
- Anna Bersano
- Silvia Lanfranconi
- Simone Beretta
- Carlo Ferrarese
- Giacomo Giacolone
- Stefano Paolucci
- Philippe Lyrer
- Stefan Engelter
- Felix Fluri
- Florian Hatz
- Dominique Gisler
- Leo Bonati
- Henrik Gensicke
- Margareth Amort
- Hugh Markus
- Jennifer Majersik
- Bradford Worrall
- Andrew Southerland
- John Cole
- Steven Kittner
- Evangelos Evangelou
- Helen R Warren
- He Gao
- Georgios Ntritsos
- Niki Dimou
- Tonu Esko
- Reedik Mägi
- Lili Milani
- Peter Almgren
- Thibaud Boutin
- Jun Ding
- Franco Giulianini
- Elizabeth G Holliday
- Anne U Jackson
- Ruifang Li-Gao
- Wei-Yu Lin
- Jian'an Luan
- Massimo Mangino
- Christopher Oldmeadow
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- Muralidharan Sargurupremraj
- Nabi Shah
- Praveen Surendran
- Sébastien Thériault
- Niek Verweij
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- Jing-Hua Zhao
- John Connell
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- Christopher P Nelson
- Teemu Niiranen
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- Ben A Oostra
- Paul F O'Reilly
- Elin Org
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- Markus Perola
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- Cinzia F Sala
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- Reinhold Schmidt
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- Nick Shrine
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- Caroline Hayward
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- Markku Laakso
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- Claudia Langenberg
- Olle Melander
- Dennis O Mook-Kanamori
- Colin NA Palmer
- Lorenz Risch
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- Eleftheria Zeggini
- Daniel Levy
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- Andres Metspalu
- Bruce M. Psaty
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- Mark J Caulfield
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- Verneri Anttila
- Priit Palta
- Tonu Esko
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- Mikko Muona
- Nicholas A Furlotte
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- Gisela M Terwindt
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- Anine H Stam
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- Salli Vepsäläinen
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1 Application
| Application ID | Title |
|---|---|
| 2532 | UK Biobank Stroke Study (UKBiSS): developing an in-depth understanding of the determinants of stroke and its subtypes |
Enabling scientific discoveries that improve human health