孟德尔随机化
重新调整用途
药物重新定位
可药性
表达数量性状基因座
计算生物学
生物
医学
药物开发
生物信息学
遗传学
单核苷酸多态性
药品
基因
药理学
遗传变异
基因型
生态学
作者
Liam Gaziano,Claudia Giambartolomei,Alexandre C. Pereira,Anna Gaulton,Daniel Posner,Sonja A. Swanson,Yuk‐Lam Ho,Sudha K. Iyengar,Nicole Kosik,Marijana Vujković,David Gagnon,A. Patrícia Bento,Inigo Barrio‐Hernandez,Lars Rönnblom,Niklas Hagberg,Christian Lundtoft,Claudia Langenberg,Maik Pietzner,Dennis Valentine,Stefano Gustincich
出处
期刊:Nature Medicine
[Springer Nature]
日期:2021-04-01
卷期号:27 (4): 668-676
被引量:232
标识
DOI:10.1038/s41591-021-01310-z
摘要
Drug repurposing provides a rapid approach to meet the urgent need for therapeutics to address COVID-19. To identify therapeutic targets relevant to COVID-19, we conducted Mendelian randomization analyses, deriving genetic instruments based on transcriptomic and proteomic data for 1,263 actionable proteins that are targeted by approved drugs or in clinical phase of drug development. Using summary statistics from the Host Genetics Initiative and the Million Veteran Program, we studied 7,554 patients hospitalized with COVID-19 and >1 million controls. We found significant Mendelian randomization results for three proteins (ACE2, P = 1.6 × 10−6; IFNAR2, P = 9.8 × 10−11 and IL-10RB, P = 2.3 × 10−14) using cis-expression quantitative trait loci genetic instruments that also had strong evidence for colocalization with COVID-19 hospitalization. To disentangle the shared expression quantitative trait loci signal for IL10RB and IFNAR2, we conducted phenome-wide association scans and pathway enrichment analysis, which suggested that IFNAR2 is more likely to play a role in COVID-19 hospitalization. Our findings prioritize trials of drugs targeting IFNAR2 and ACE2 for early management of COVID-19. Large-scale Mendelian randomization and colocalization analyses using gene expression and soluble protein data for 1,263 actionable druggable genes, which encode protein targets for approved drugs or drugs in clinical development, identify IFNAR2 and ACE2 as the most promising therapeutic targets for early management of COVID-19.
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