ArticleeLife2022
A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Genetic and non-genetic factors distinctly shape the variation of the immune response in cattle.Nature communications · 2026Article
- Multi-omics Data Integration.Advances in experimental medicine and biology · 2026Review
- Genetic and molecular landscape of comorbidities in people living with HIV.Nature medicine · 2025Article
- Genetics of circulating proteins in newborn babies at high risk of type 1 diabetes.Nature communications · 2025Article
- Identifying genetic variants that influence the abundance of cell states in single-cell data.Nature genetics · 2024Article
- A comprehensive genetic map of cytokine responses in Lyme borreliosis.Nature communications · 2024Article
- Review
- Identifying genetic variants that influence the abundance of cell states in single-cell data.bioRxiv : the preprint server for biology · 2023Article
- Benefits and risks of drug combination therapy for diabetes mellitus and its complications: a comprehensive review.Frontiers in endocrinology · 2023Review
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The large inter-individual variability in immune-cell composition and function determines immune responses in general and susceptibility o immune-mediated diseases in particular. While much has been learned about the genetic variants relevant for type 1 diabetes (T1D), the pathophysiological mechanisms through which these variations exert their effects remain unknown. Methods: Blood samples were collected from 243 patients with T1D of Dutch descent. We applied genetic association analysis on >200 immune-cell traits and >100 cytokine production profiles in response to stimuli measured to identify genetic determinants of immune function, and compared the results obtained in T1D to healthy controls. Results: Genetic variants that determine susceptibility to T1D significantly affect T cell composition. Specifically, the CCR5+ regulatory T cells associate with T1D through the CCR region, suggesting a shared genetic regulation. Genome-wide quantitative trait loci (QTLs) mapping analysis of immune traits revealed 15 genetic loci that influence immune responses in T1D, including 12 that have never been reported in healthy population studies, implying a disease-specific genetic regulation. Conclusions: This study provides new insights into the genetic factors that affect immunological responses in T1D. Funding: This work was supported by an ERC starting grant (no. 948207) and a Radboud University Medical Centre Hypatia grant (2018) to YL and an ERC advanced grant (no. 833247) and a Spinoza grant of the Netherlands Association for Scientific Research to MGN CT received funding from the Perspectief Biomarker Development Center Research Programme, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). AJ was funded by a grant from the European Foundation for the Study of Diabetes (EFSD/AZ Macrovascular Programme 2015). XC was supported by the China Scholarship Council (201706040081).
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