Literature DB >> 29795407

Genome-wide association study of response to methotrexate in early rheumatoid arthritis patients.

John C Taylor1, Tim Bongartz2, Jonathan Massey3,4, Borbala Mifsud5, Athina Spiliopoulou6,7, Ian C Scott8,9, Jianmei Wang10, Michael Morgan11,12, Darren Plant3,4, Marco Colombo6, Peter Orchard7, Sarah Twigg11, Iain B McInnes13, Duncan Porter13, Jane E Freeston11, Jackie L Nam11, Heather J Cordell14, John D Isaacs15, Jenna L Strathdee1, Donna Arnett16, Maria J H de Hair17, Paul P Tak18,19,20,21, Stella Aslibekyan22, Ronald F van Vollenhoven23, Leonid Padyukov23, S Louis Bridges22, Costantino Pitzalis24, Andrew P Cope25, Suzanne M M Verstappen3,4, Paul Emery11, Michael R Barnes24, Felix Agakov7, Paul McKeigue6, Taisei Mushiroda26, Michiaki Kubo26, Richard Weinshilboum27, Anne Barton3,4, Ann W Morgan28, Jennifer H Barrett1.   

Abstract

Methotrexate (MTX) monotherapy is a common first treatment for rheumatoid arthritis (RA), but many patients do not respond adequately. In order to identify genetic predictors of response, we have combined data from two consortia to carry out a genome-wide study of response to MTX in 1424 early RA patients of European ancestry. Clinical endpoints were change from baseline to 6 months after starting treatment in swollen 28-joint count, tender 28-joint count, C-reactive protein and the overall 3-component disease activity score (DAS28). No single nucleotide polymorphism (SNP) reached genome-wide statistical significance for any outcome measure. The strongest evidence for association was with rs168201 in NRG3 (p = 10-7 for change in DAS28). Some support was also seen for association with ZMIZ1, previously highlighted in a study of response to MTX in juvenile idiopathic arthritis. Follow-up in two smaller cohorts of 429 and 177 RA patients did not support these findings, although these cohorts were more heterogeneous.

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Year:  2018        PMID: 29795407     DOI: 10.1038/s41397-018-0025-5

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  11 in total

Review 1.  Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review.

Authors:  Shuji Sumitomo; Yasuo Nagafuchi; Yumi Tsuchida; Haruka Tsuchiya; Mineto Ota; Kazuyoshi Ishigaki; Akari Suzuki; Yuta Kochi; Keishi Fujio; Kazuhiko Yamamoto
Journal:  Inflamm Regen       Date:  2018-11-05

2.  Prediction of treatment response in rheumatoid arthritis patients using genome-wide SNP data.

Authors:  Svetlana Cherlin; Darren Plant; John C Taylor; Marco Colombo; Athina Spiliopoulou; Evan Tzanis; Ann W Morgan; Michael R Barnes; Paul McKeigue; Jennifer H Barrett; Costantino Pitzalis; Anne Barton; Matura Consortium; Heather J Cordell
Journal:  Genet Epidemiol       Date:  2018-10-12       Impact factor: 2.135

Review 3.  The Potential Role of Genomic Medicine in the Therapeutic Management of Rheumatoid Arthritis.

Authors:  Marialbert Acosta-Herrera; David González-Serna; Javier Martín
Journal:  J Clin Med       Date:  2019-06-10       Impact factor: 4.241

4.  VEGF-C Gene Polymorphisms Increase Susceptibility to Rheumatoid Arthritis.

Authors:  Chengqian Dai; Shu-Jui Kuo; Sung-Lin Hu; Chun-Hao Tsai; Yuan-Li Huang; Chien-Chung Huang; Lihong Wang; Guohong Xu; Chen-Ming Su; Chih-Hsin Tang
Journal:  Int J Med Sci       Date:  2019-09-20       Impact factor: 3.738

Review 5.  Adding value to real-world data: the role of biomarkers.

Authors:  Darren Plant; Anne Barton
Journal:  Rheumatology (Oxford)       Date:  2020-01-01       Impact factor: 7.580

6.  Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases.

Authors:  Oliver S Burren; Guillermo Reales; Limy Wong; John Bowes; James C Lee; Anne Barton; Paul A Lyons; Kenneth G C Smith; Wendy Thomson; Paul D W Kirk; Chris Wallace
Journal:  Genome Med       Date:  2020-11-25       Impact factor: 11.117

7.  Methotrexate Treatment of Newly Diagnosed RA Patients Is Associated With DNA Methylation Differences at Genes Relevant for Disease Pathogenesis and Pharmacological Action.

Authors:  Kari Guderud; Line H Sunde; Siri T Flåm; Marthe T Mæhlen; Maria D Mjaavatten; Ellen S Norli; Ida M Evenrød; Bettina K Andreassen; Sören Franzenburg; Andre Franke; Simon Rayner; Kristina Gervin; Benedicte A Lie
Journal:  Front Immunol       Date:  2021-11-18       Impact factor: 7.561

8.  Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients.

Authors:  Ashley J W Lim; Lee Jin Lim; Brandon N S Ooi; Ee Tzun Koh; Justina Wei Lynn Tan; Samuel S Chong; Chiea Chuen Khor; Lisa Tucker-Kellogg; Khai Pang Leong; Caroline G Lee
Journal:  EBioMedicine       Date:  2022-01-10       Impact factor: 8.143

Review 9.  Methotrexate an Old Drug with New Tricks.

Authors:  Yosra Bedoui; Xavier Guillot; Jimmy Sélambarom; Pascale Guiraud; Claude Giry; Marie Christine Jaffar-Bandjee; Stéphane Ralandison; Philippe Gasque
Journal:  Int J Mol Sci       Date:  2019-10-10       Impact factor: 5.923

10.  Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio.

Authors:  Helen R Gosselt; Maxime M A Verhoeven; Maurits C F J de Rotte; Saskia M F Pluijm; Ittai B Muller; Gerrit Jansen; Janneke Tekstra; Maja Bulatović-Ćalasan; Sandra G Heil; Floris P J G Lafeber; Johanna M W Hazes; Robert de Jonge
Journal:  Rheumatol Ther       Date:  2020-09-14
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