Dissecting the Genetic Architecture of Intracranial Aneurysms
- PMID: 40255156
- PMCID: PMC12173771
- DOI: 10.1161/CIRCGEN.123.004626
Dissecting the Genetic Architecture of Intracranial Aneurysms
Abstract
Background: The genetic risk of intracranial aneurysm (IA) development has been ascribed to the genetic risk of smoking exposure and hypertension. The relationship of IA to other cardiovascular traits and the contribution of IA risk loci to aberrant gene programs within cerebrovascular cell types remains unclear.
Methods: We performed a genome-wide association study in the Million Veteran Program and Finnish cohort study testing association of roughly 25 million DNA variants with unruptured IA (4694 cases and 877 091 controls) in individuals of European, African, and Hispanic ancestries. Meta-analysis with publicly available summary statistics generated a final cohort of 15 438 cases and 1 183 973 controls. We constructed a cerebrovascular single-nuclear RNA sequencing data set and integrated IA summary statistics to prioritize candidate causal cell types. We constructed a polygenic risk score to identify patients at risk of developing IA.
Results: We identified 5 novel associations with IA, increasing the number of known susceptibility loci to 22. At these susceptibility loci, we prioritized 17 candidate causal genes. We found a significant positive genetic correlation of IA with coronary artery disease and abdominal aortic aneurysm. Integration of an IA gene set with cerebrovascular single-nuclear RNA sequencing data revealed a significant association with pericytes and smooth muscle cells. Finally, a polygenic risk score was significantly associated with IA across European (odds ratio, 1.87 [95% CI, 1.61-2.17]; P=8.8×10-17), African (odds ratio, 1.62 [95% CI, 1.19-2.15]; P=1.2×10-3), and Hispanic (odds ratio, 2.28 [95% CI, 1.47-3.38]; P=1.0×10-4) ancestries.
Conclusions: Here, we identify 5 novel loci associated with IA. Integration of summary statistics with cerebrovascular single-nuclear RNA sequencing reveals an association of cell types involved in matrix production. We validated a polygenic risk score that predicts IA, controlling for demographic variables including smoking status and blood pressure. Our findings suggest that a deficit in matrix production may drive IA pathogenesis independent of hypertension and smoking.
Keywords: aortic aneurysm; genetic risk score; genome-wide association study; hypertension; intracranial aneurysm.
Conflict of interest statement
Dr Natarajan reports research grants from Allelica, Apple, Amgen, Boston Scientific, Genentech/Roche, and Novartis; personal fees from Allelica, Apple, AstraZeneca, Blackstone Life Sciences, Foresite Labs, Genentech/Roche, GV, HeartFlow, Magnet Biomedicine, and Novartis; scientific advisory board membership of Esperion Therapeutics, Preciseli, and TenSixteen Bio; is a scientific co-founder of TenSixteen Bio; equity in Preciseli and TenSixteen Bio; and spousal employment at Vertex Pharmaceuticals, all unrelated to the present work. D. Klarin is an employee of Bitterroot Bio. The other authors report no conflicts.
References
-
- Bakker MK, Spek RAA van der<a/u>, Rheenen W van, Morel S, Bourcier R, Hostettler IC, Alg VS, Eijk KR van, Koido M, Akiyama M, et al. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors. Nat Genet 2020;52:1303–1313. doi: 10.1038/s41588-020-00725-7. - DOI - PMC - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
