全基因组关联研究
候选基因
孟德尔随机化
转录组
生物
二尖瓣
表型
表达数量性状基因座
现象
主动脉瓣
遗传学
主动脉瓣狭窄
计算生物学
遗传关联
基因
生物信息学
基因型
医学
单核苷酸多态性
基因表达
内科学
遗传变异
作者
Sébastien Thériault,Zhonglin Li,Erik Abner,Jian’an Luan,Hasanga D. Manikpurage,Ursula Houessou,Pardis Zamani,Mewen Briend,Dominique K. Boudreau,Nathalie Gaudreault,Lily Frenette,Déborah Argaud,Manel Dahmene,François Dagenais,Marie‐Annick Clavel,Philippe Pîbarot,Benoît J. Arsenault,S. Matthijs Boekholdt,Nicholas J. Wareham,Tõnu Esko
标识
DOI:10.1038/s41467-024-46639-4
摘要
There is currently no medical therapy to prevent calcific aortic valve stenosis (CAVS). Multi-omics approaches could lead to the identification of novel molecular targets. Here, we perform a genome-wide association study (GWAS) meta-analysis including 14,819 cases among 941,863 participants of European ancestry. We report 32 genomic loci, among which 20 are novel. RNA sequencing of 500 human aortic valves highlights an enrichment in expression regulation at these loci and prioritizes candidate causal genes. Homozygous genotype for a risk variant near TWIST1, a gene involved in endothelial-mesenchymal transition, has a profound impact on aortic valve transcriptomics. We identify five genes outside of GWAS loci by combining a transcriptome-wide association study, colocalization, and Mendelian randomization analyses. Using cross-phenotype and phenome-wide approaches, we highlight the role of circulating lipoproteins, blood pressure and inflammation in the disease process. Our findings pave the way for the development of novel therapies for CAVS.
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