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Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits
Dysregulation in cytokine production has been linked to the pathogenesis of various immune-mediated traits, in which genetic variability contributes to the etiopathogenesis. GWA studies have identified many genetic variants in or near cytokine genes, nonetheless, the translation of these findings in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477549/ https://www.ncbi.nlm.nih.gov/pubmed/32895400 http://dx.doi.org/10.1038/s41598-020-71018-6 |
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author | Salnikova, Lyubov E. Khadzhieva, Maryam B. Kolobkov, Dmitry S. Gracheva, Alesya S. Kuzovlev, Artem N. Abilev, Serikbay K. |
author_facet | Salnikova, Lyubov E. Khadzhieva, Maryam B. Kolobkov, Dmitry S. Gracheva, Alesya S. Kuzovlev, Artem N. Abilev, Serikbay K. |
author_sort | Salnikova, Lyubov E. |
collection | PubMed |
description | Dysregulation in cytokine production has been linked to the pathogenesis of various immune-mediated traits, in which genetic variability contributes to the etiopathogenesis. GWA studies have identified many genetic variants in or near cytokine genes, nonetheless, the translation of these findings into knowledge of functional determinants of complex traits remains a fundamental challenge. In this study we aimed at collection, analysis and interpretation of data on cytokines focused on their tissue-specific expression, eQTLs and GWAS traits. Using GO annotations, we generated a list of 314 cytokines and analyzed them with the GTEx resource. Cytokines were highly tissue-specific, 82.3% of cytokines had Tau expression metrics ≥ 0.8. In total, 3077 associations for 1760 unique SNPs in or near 244 cytokines were mapped in the NHGRI-EBI GWAS Catalog. According to the Experimental Factor Ontology resource, the largest numbers of disease associations were related to ‘Inflammatory disease’, ‘Immune system disease’ and ‘Asthma’. The GTEx-based analysis revealed that among GWAS SNPs, 1142 SNPs had eQTL effects and influenced expression levels of 999 eGenes, among them 178 cytokines. Several types of enrichment analysis showed that it was cytokines expression variability that fundamentally contributed to the molecular origins of considered immune-mediated conditions. |
format | Online Article Text |
id | pubmed-7477549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74775492020-09-08 Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits Salnikova, Lyubov E. Khadzhieva, Maryam B. Kolobkov, Dmitry S. Gracheva, Alesya S. Kuzovlev, Artem N. Abilev, Serikbay K. Sci Rep Article Dysregulation in cytokine production has been linked to the pathogenesis of various immune-mediated traits, in which genetic variability contributes to the etiopathogenesis. GWA studies have identified many genetic variants in or near cytokine genes, nonetheless, the translation of these findings into knowledge of functional determinants of complex traits remains a fundamental challenge. In this study we aimed at collection, analysis and interpretation of data on cytokines focused on their tissue-specific expression, eQTLs and GWAS traits. Using GO annotations, we generated a list of 314 cytokines and analyzed them with the GTEx resource. Cytokines were highly tissue-specific, 82.3% of cytokines had Tau expression metrics ≥ 0.8. In total, 3077 associations for 1760 unique SNPs in or near 244 cytokines were mapped in the NHGRI-EBI GWAS Catalog. According to the Experimental Factor Ontology resource, the largest numbers of disease associations were related to ‘Inflammatory disease’, ‘Immune system disease’ and ‘Asthma’. The GTEx-based analysis revealed that among GWAS SNPs, 1142 SNPs had eQTL effects and influenced expression levels of 999 eGenes, among them 178 cytokines. Several types of enrichment analysis showed that it was cytokines expression variability that fundamentally contributed to the molecular origins of considered immune-mediated conditions. Nature Publishing Group UK 2020-09-07 /pmc/articles/PMC7477549/ /pubmed/32895400 http://dx.doi.org/10.1038/s41598-020-71018-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Salnikova, Lyubov E. Khadzhieva, Maryam B. Kolobkov, Dmitry S. Gracheva, Alesya S. Kuzovlev, Artem N. Abilev, Serikbay K. Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits |
title | Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits |
title_full | Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits |
title_fullStr | Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits |
title_full_unstemmed | Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits |
title_short | Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits |
title_sort | cytokines mapping for tissue-specific expression, eqtls and gwas traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477549/ https://www.ncbi.nlm.nih.gov/pubmed/32895400 http://dx.doi.org/10.1038/s41598-020-71018-6 |
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