Genetic evidence for efficacy of targeting IL-2, IL-6 and TYK2 signalling in the prevention of type 1 diabetes: a Mendelian randomisation study

Tea E. Heikkilä, Emilia K. Kaiser, Jake Lin, Dipender Gill, Jaakko J. Koskenniemi, Ville Karhunen

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

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: (Figure presented.)

Original languageEnglish
Number of pages11
JournalDiabetologia
DOIs
Publication statusE-pub ahead of print - 2024
Publication typeA1 Journal article-refereed

Keywords

  • Co-localisation
  • IL-2
  • IL-6
  • Mendelian randomisation
  • TYK2
  • Type 1 diabetes

Publication forum classification

  • Publication forum level 3

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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