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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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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). |
format | Online Article Text |
id | pubmed-9205632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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