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

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 pathophysiolog...

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Autores principales: Chu, Xiaojing, Janssen, Anna WM, Koenen, Hans, Chang, Linzhung, He, Xuehui, Joosten, Irma, Stienstra, Rinke, Kuijpers, Yunus, Wijmenga, Cisca, Xu, Cheng-Jian, Netea, Mihai G, Tack, Cees J, Li, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205632/
https://www.ncbi.nlm.nih.gov/pubmed/35638288
http://dx.doi.org/10.7554/eLife.73709
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author Chu, Xiaojing
Janssen, Anna WM
Koenen, Hans
Chang, Linzhung
He, Xuehui
Joosten, Irma
Stienstra, Rinke
Kuijpers, Yunus
Wijmenga, Cisca
Xu, Cheng-Jian
Netea, Mihai G
Tack, Cees J
Li, Yang
author_facet Chu, Xiaojing
Janssen, Anna WM
Koenen, Hans
Chang, Linzhung
He, Xuehui
Joosten, Irma
Stienstra, Rinke
Kuijpers, Yunus
Wijmenga, Cisca
Xu, Cheng-Jian
Netea, Mihai G
Tack, Cees J
Li, Yang
author_sort Chu, Xiaojing
collection PubMed
description 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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spelling pubmed-92056322022-06-18 A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes Chu, Xiaojing Janssen, Anna WM Koenen, Hans Chang, Linzhung He, Xuehui Joosten, Irma Stienstra, Rinke Kuijpers, Yunus Wijmenga, Cisca Xu, Cheng-Jian Netea, Mihai G Tack, Cees J Li, Yang eLife Genetics and Genomics 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). eLife Sciences Publications, Ltd 2022-05-31 /pmc/articles/PMC9205632/ /pubmed/35638288 http://dx.doi.org/10.7554/eLife.73709 Text en © 2022, Chu, Janssen, Koenen et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genetics and Genomics
Chu, Xiaojing
Janssen, Anna WM
Koenen, Hans
Chang, Linzhung
He, Xuehui
Joosten, Irma
Stienstra, Rinke
Kuijpers, Yunus
Wijmenga, Cisca
Xu, Cheng-Jian
Netea, Mihai G
Tack, Cees J
Li, Yang
A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
title A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
title_full A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
title_fullStr A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
title_full_unstemmed A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
title_short A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
title_sort genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205632/
https://www.ncbi.nlm.nih.gov/pubmed/35638288
http://dx.doi.org/10.7554/eLife.73709
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