孟德尔随机化
2型糖尿病
生物
基因
遗传学
糖尿病
生物信息学
内科学
医学
内分泌学
基因型
遗传变异
作者
Taina Heikkilä,Elizabeth Kaiser,Jake Lin,Dipender Gill,Jaakko J. Koskenniemi,Ville Karhunen
出处
期刊:Diabetologia
[Springer Science+Business Media]
日期:2024-09-13
标识
DOI:10.1007/s00125-024-06267-5
摘要
Abstract Aims/hypothesis We aimed to investigate the genetic evidence that supports the repurposing of drugs already licensed or in clinical phases of development for prevention of type 1 diabetes. Methods We obtained genome-wide association study summary statistics for the risk of type 1 diabetes, whole-blood gene expression and serum protein levels and investigated genetic polymorphisms near seven potential drug target genes. We used co-localisation to examine whether the same genetic variants that are associated with type 1 diabetes risk were also associated with the relevant drug target genetic proxies and used Mendelian randomisation to evaluate the direction and magnitude of the associations. Furthermore, we performed Mendelian randomisation analysis restricted to functional variants within the drug target genes. Results Co-localisation revealed that the blood expression levels of IL2RA (encoding IL-2 receptor subunit α [IL2RA]), IL6R (encoding IL-6 receptor [IL6R]) and IL6ST (encoding IL-6 cytokine family signal transducer [IL6ST]) shared the same causal variant with type 1 diabetes liability near the corresponding genes (posterior probabilities 100%, 96.5% and 97.0%, respectively). The OR (95% CI) of type 1 diabetes per 1-SD increase in the genetically proxied gene expression of IL2RA , IL6R and IL6ST were 0.22 (0.17, 0.27), 1.98 (1.48, 2.65) and 1.90 (1.45, 2.48), respectively. Using missense variants, genetically proxied TYK2 (encoding tyrosine kinase 2) expression levels were associated with type 1 diabetes risk (OR 0.61 [95% CI 0.54, 0.69]). Conclusions/interpretation Our findings support the targeting of IL-2, IL-6 and TYK2 signalling in prevention of type 1 diabetes. Data availability The analysis code is available at https://github.com/jkoskenniemi/T1DSCREEN , which also includes instructions on how to download the original GWAS summary statistics. Graphical Abstract
科研通智能强力驱动
Strongly Powered by AbleSci AI