孟德尔随机化
全基因组关联研究
心力衰竭
蛋白质组学
计算生物学
生物
遗传学
基因组
药品
生物信息学
医学
基因
单核苷酸多态性
遗传变异
内科学
药理学
基因型
作者
Danielle Rasooly,Gina M. Peloso,Alexandre C. Pereira,Hesam Dashti,Claudia Giambartolomei,Eleanor Wheeler,Nay Aung,Brian R. Ferolito,Maik Pietzner,Eric Farber‐Eger,Quinn S. Wells,Nicole Kosik,Liam Gaziano,Daniel Posner,A. Patrícia Bento,Qin Hui,Chang Liu,Krishna G. Aragam,Zeyuan Wang,Brian Charest
标识
DOI:10.1038/s41467-023-39253-3
摘要
We conduct a large-scale meta-analysis of heart failure genome-wide association studies (GWAS) consisting of over 90,000 heart failure cases and more than 1 million control individuals of European ancestry to uncover novel genetic determinants for heart failure. Using the GWAS results and blood protein quantitative loci, we perform Mendelian randomization and colocalization analyses on human proteins to provide putative causal evidence for the role of druggable proteins in the genesis of heart failure. We identify 39 genome-wide significant heart failure risk variants, of which 18 are previously unreported. Using a combination of Mendelian randomization proteomics and genetic cis-only colocalization analyses, we identify 10 additional putatively causal genes for heart failure. Findings from GWAS and Mendelian randomization-proteomics identify seven (CAMK2D, PRKD1, PRKD3, MAPK3, TNFSF12, APOC3 and NAE1) proteins as potential targets for interventions to be used in primary prevention of heart failure.
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