Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction

Aeron M Small, Ta-Yu Yang, Shinsuke Itoh, Sébastien Thériault, Line Dufresne, Ryo Kurosawa, Issei Komuro, Koichi Matsuda, Ha My T Vy, Eric H Farber-Eger, Lauren Lee Shaffer, Kristin M Boulier, Kristin M Corey, Megan E Ramaker, Fabien Laporte, Jean-Jacques Schott, Solena Le Scouarnec, Sasha A Singh, Abhijeet R Sonawane, Harry A SmithNicholas Rafaels, Jonas Ghouse, Anna A Raja, Sisse R Ostrowski, Erik Sørensen, Christina Mikkelsen, Ole B Pedersen, Christian Erikstrup, Henrik Ullum (Medlem af forfattergruppering), Gardar Sveinbjornsson, Daniel F Gudbjartsson, Erik Abner, Jiwoo Lee, Andrea Ganna, Ulrike Nowak-Göttl, Sarah Finer, Johannes Schumacher, Carlo Maj, Baravan Al-Kassou, Georg Nickenig, Teresa Trenkwalder, Martina Dreβen, Markus Krane, Markus M Nöthen, Marta R Moksnes, Ben M Brumpton, Stacey Knight, Kirk U Knowlton, Lincoln Nadauld, Henning Bundgaard, Colorado Center for Personalized Medicine, DBDS Genomic Consortium , Erik Sørensen (Medlem af forfattergruppering), Christina Mikkelsen (Medlem af forfattergruppering)

Abstract

Aortic stenosis (AS) is a common valvular heart disease and has no pharmacological therapies. We performed a multi-ancestry genome-wide association meta-analysis of 86,864 AS cases among 2,853,408 individuals, discovering 241 autosomal independent risk loci and 3 X chromosome risk loci. We additionally performed sex-stratified and ancestry-stratified genome-wide association studies (GWASs), identifying an additional 5 sex-specific risk loci, 11 risk loci in European ancestry individuals and 1 risk locus in African ancestry individuals. We also performed a transcriptome-wide association study using expression quantitative trait loci from human aortic valves, discovering 54 new genes for which genetically predicted expression influences the risk of AS. We then generated a new polygenic risk score for AS. Finally, we performed gene silencing experiments targeting biologically relevant genes identified by our GWAS. Silencing of CMKLR1 and LTBP4 in human valvular interstitial cells substantially decreased mineralization, implicating a role for polyunsaturated fatty acids and transforming growth factor β signaling in AS.

OriginalsprogEngelsk
TidsskriftNature Genetics
Vol/bind58
Udgave nummer1
Sider (fra-til)57-66
Antal sider10
ISSN1061-4036
DOI
StatusUdgivet - jan. 2026

Fingeraftryk

Dyk ned i forskningsemnerne om 'Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction'. Sammen danner de et unikt fingeraftryk.

Citationsformater