A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes

Author:

Chu Xiaojing123ORCID,Janssen Anna WM4,Koenen Hans5,Chang Linzhung1,He Xuehui5,Joosten Irma5,Stienstra Rinke46,Kuijpers Yunus23ORCID,Wijmenga Cisca1ORCID,Xu Cheng-Jian234ORCID,Netea Mihai G47ORCID,Tack Cees J4,Li Yang1234ORCID

Affiliation:

1. Department of Genetics, University of Groningen, University Medical Center Groningen

2. Centre for Individualised Infection Medicine, CiiM, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research

3. TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research

4. Department of Internal Medicine, Radboud University Medical Center

5. Department of Laboratory Medicine, Laboratory Medical Immunology, Radboud University Medical Center

6. Division of Human Nutrition and Health, Wageningen University

7. Department for Genomics & Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn

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).

Funder

ERC Starting grant

Radboud Universitair Medisch Centrum

ERC advanced grant

the Netherlands Association of Scientific Reasearch

the Netherlands Organisation for Scientific Research

European Foundation for the Study of Diabetes

China Scholarship Council

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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