Multi-ancestry proteogenomic analysis identifies risk proteins for intracranial aneurysms
Su, C.-Y.; Malizia, J.; Hasebe, M.; Zheng, T. M.; Mejia-Garcia, A.; Tsao, H. M.; Lin, Z.; Yang, T.-Y.; Matsuda, F.; Dion, P. A.; Mooser, V.; Rouleau, G.; Butler-Laporte, G.; Lu, T.; Yoshiji, S.; Zhou, S.
Show abstract
BackgroundIntracranial aneurysm (IA) and its complication, subarachnoid hemorrhage (SAH), cause morbidity and mortality, yet no preventative pharmacotherapies exist. Genome-wide association studies (GWAS) have identified risk loci for IA and SAH, but the causal proteins and pathways that connect genetic risk to aneurysm biology remain unclear. MethodsWe performed ancestry-stratified GWAS meta-analyses of IA and SAH in European and East Asian ancestries and linked these to circulating protein levels using proteome-wide Mendelian randomization (MR). We applied stringent instrument selection, sensitivity analyses, and colocalization, and implemented GWAS-by-subtraction to derive IA components not fully mediated by systolic blood pressure (SBP). We triangulated findings with UK Biobank observational associations, rare variant gene-burden testing in 426,295 exomes, and a French-Canadian familial IA cohort. ResultsAcross 15,611 protein-outcome tests, 12 associations for nine proteins were significant in European ancestry. SLMAP, AMBP, ENTPD6, and PLEKHA1 were associated with increased IA risk, whereas SIRT2, JAG1, ADH4, and NAGLU were associated with decreased IA risk; ADAM23 was associated with increased SAH risk. Colocalization supported shared causal variants for ADH4, PLEKHA1, and SLMAP in IA. After removing SBP-mediated genetic effects, ADH4, JAG1, and PLEKHA1 remained associated with IA, suggesting effects not fully mediated by blood pressure. In UK Biobank, higher measured SLMAP, AMBP, and ENTPD6 levels showed concordant increases in cerebrovascular disease risk. Rare damaging JAG1 variants showed nominally higher odds of cerebrovascular disease, and a missense ENTPD6 variant was enriched in French-Canadian familial IA. ConclusionsIntegrating multi-ancestry genomics with large-scale proteomics implicates specific circulating proteins and pathways in IA and SAH risk. Convergent evidence prioritizes ADH4, a retinoid-pathway enzyme, and PLEKHA1, a phosphoinositide-binding adaptor in endothelial signaling, as non-SBP-mediated candidates for IA biology, with additional support for JAG1/Notch and SLMAP-related vascular pathways. These findings highlight mechanistic biomarkers and potential drug targets for aneurysm prevention that warrant experimental validation.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comprehensive genetic analysis of the human lipidome identifies novel loci controlling lipid homeostasis with links to coronary artery disease 96%
- Whole genome sequencing analysis of the cardiometabolic proteome 96%
- Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities 96%
Similar papers in this journal
- Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases 96%
- Genotyping and population structure of the China Kadoorie Biobank 95%
- Human gain-of-function variants in HNF1A confer protection from diabetes but independently increase hepatic secretion of multiple cardiovascular disease risk factors 95%
Similar papers in this journal
- Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension 96%
- Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study 95%
- Association of Structural Variation with Cardiometabolic Traits in Finns 94%
Similar papers in this journal
- Integrative proteomic analyses across common cardiac diseases yield new mechanistic insights and enhanced prediction 96%
- Genetic and environmental determinants of diastolic heart function 95%
- Single cell compendium of muscle microenvironment in peripheral artery disease reveals altered endothelial diversity and LYVE1+ macrophage activation 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.