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Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk
BACKGROUND: The biological mechanisms driving disease chronicity in rheumatoid arthritis (RA) are largely unidentified. Therefore, we aimed to determine genetic risk factors for RA. METHODS: In this case–control study, which includes samples from 499 patients and 507 healthy controls, six single‐nuc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625105/ https://www.ncbi.nlm.nih.gov/pubmed/31134763 http://dx.doi.org/10.1002/mgg3.754 |
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author | Yang, Yonghui Yuan, Shan Che, Meihua Jing, Haiyin Yuan, Limin Dong, Kuaini Jin, Tianbo |
author_facet | Yang, Yonghui Yuan, Shan Che, Meihua Jing, Haiyin Yuan, Limin Dong, Kuaini Jin, Tianbo |
author_sort | Yang, Yonghui |
collection | PubMed |
description | BACKGROUND: The biological mechanisms driving disease chronicity in rheumatoid arthritis (RA) are largely unidentified. Therefore, we aimed to determine genetic risk factors for RA. METHODS: In this case–control study, which includes samples from 499 patients and 507 healthy controls, six single‐nucleotide polymorphisms (SNPs) in interleukin‐2 receptor subunit alpha (IL2RA) and IL2RB were selected. Genotyping was performed using the Agena MassARRAY platform, and the statistical analyses were performed using the chi‐squared and Fisher's exact tests, genetic model analysis, and haplotype analysis. RESULT: In the allele model, using the chi‐squared test, the result showed that rs791588 in IL2RA was associated with a decreased RA risk (odds ratios [OR] = 0.74, 95% confidence intervals [CI] = 0.62–0.89, p = 0.0014) after adjusting for age and gender. In the genetic model, logistic regression analyses revealed that rs791588 was associated with a decreased risk of RA under the codominant model, dominant model, recessive model, and log‐additive model. Stratification analysis revealed that two SNPs (rs791588 and rs2281089) were significantly associated with a reduced RA risk in an allele and genetic model after stratification by gender or age (p < 0.05). In addition, the haplotypes “C(rs12569923)G(rs791588)” and “C(rs12569923)T(rs791588)” of IL2RA was associated with an increased risk of RA adjusted by age and gender (OR = 1.35, 95% CI: 1.12–1.64, p = 0.0016; OR = 1.24, 95% CI: 1.03–1.48, p = 0.021). CONCLUSION: This finding indicates that the inherited altered genetic constitution at IL2RA may predispose to a less destructive course of RA. |
format | Online Article Text |
id | pubmed-6625105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66251052019-07-17 Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk Yang, Yonghui Yuan, Shan Che, Meihua Jing, Haiyin Yuan, Limin Dong, Kuaini Jin, Tianbo Mol Genet Genomic Med Original Articles BACKGROUND: The biological mechanisms driving disease chronicity in rheumatoid arthritis (RA) are largely unidentified. Therefore, we aimed to determine genetic risk factors for RA. METHODS: In this case–control study, which includes samples from 499 patients and 507 healthy controls, six single‐nucleotide polymorphisms (SNPs) in interleukin‐2 receptor subunit alpha (IL2RA) and IL2RB were selected. Genotyping was performed using the Agena MassARRAY platform, and the statistical analyses were performed using the chi‐squared and Fisher's exact tests, genetic model analysis, and haplotype analysis. RESULT: In the allele model, using the chi‐squared test, the result showed that rs791588 in IL2RA was associated with a decreased RA risk (odds ratios [OR] = 0.74, 95% confidence intervals [CI] = 0.62–0.89, p = 0.0014) after adjusting for age and gender. In the genetic model, logistic regression analyses revealed that rs791588 was associated with a decreased risk of RA under the codominant model, dominant model, recessive model, and log‐additive model. Stratification analysis revealed that two SNPs (rs791588 and rs2281089) were significantly associated with a reduced RA risk in an allele and genetic model after stratification by gender or age (p < 0.05). In addition, the haplotypes “C(rs12569923)G(rs791588)” and “C(rs12569923)T(rs791588)” of IL2RA was associated with an increased risk of RA adjusted by age and gender (OR = 1.35, 95% CI: 1.12–1.64, p = 0.0016; OR = 1.24, 95% CI: 1.03–1.48, p = 0.021). CONCLUSION: This finding indicates that the inherited altered genetic constitution at IL2RA may predispose to a less destructive course of RA. John Wiley and Sons Inc. 2019-05-27 /pmc/articles/PMC6625105/ /pubmed/31134763 http://dx.doi.org/10.1002/mgg3.754 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Yang, Yonghui Yuan, Shan Che, Meihua Jing, Haiyin Yuan, Limin Dong, Kuaini Jin, Tianbo Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk |
title | Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk |
title_full | Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk |
title_fullStr | Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk |
title_full_unstemmed | Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk |
title_short | Genetic analysis of the relation between IL2RA/IL2RB and rheumatoid arthritis risk |
title_sort | genetic analysis of the relation between il2ra/il2rb and rheumatoid arthritis risk |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625105/ https://www.ncbi.nlm.nih.gov/pubmed/31134763 http://dx.doi.org/10.1002/mgg3.754 |
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