Gilani, SSA, Nair, N, Plant, D et al. (8 more authors) (2020) Pharmacogenetics of TNFi Response in Rheumatoid Arthritis Utilising the Two-Component Disease Activity Score. The Pharmacogenomics Journal, 21 (16). ISSN 1470-269X
Abstract
Aim: TNF inhibitor drugs are a treatment option for rheumatoid arthritis, but response is not universal. Response is typically measured using the composite 4-component (4C) disease activity score 28 (DAS28) which contains more subjective measures. This study used a validated 2-component (2C) DAS28 score to determine whether SNPs associated with response were replicated in the UK population. Materials & methods: A literature review identified TNF inhibitor response SNPs. Linear regression was conducted to replicate associations with 4C or 2C-DAS28 response. Results: Eighteen independent SNPs were analyzed in 1828 patients. One and four associations with 4C and 2C-DAS28 response respectively were identified (p ≤ 0.05). Conclusion: Further genetic associations were replicated using the 2C-DAS28 which may reflect the objective nature of 2C-AS28.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2020 The University of Manchester. This work is licensed under the Creative Commons Attribution 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0. |
| Keywords: | biomarker; rheumatoid arthritis; single nucleotide polymorphism; TNF inhibitors; treatment response |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Discovery & Translational Science Dept (Leeds) |
| Funding Information: | Funder Grant number MRC (Medical Research Council) R116825 NIHR National Inst Health Research BRC |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 19 Oct 2020 10:02 |
| Last Modified: | 25 Jun 2023 22:28 |
| Status: | Published |
| Publisher: | Springer Nature |
| Identification Number: | 10.2217/pgs-2020-0043 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166807 |

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