Literature DB >> 20847201

Using genetic and clinical data to understand response to disease-modifying anti-rheumatic drug therapy: data from the Brigham and Women's Hospital Rheumatoid Arthritis Sequential Study.

Christine K Iannaccone1, Yvonne C Lee, Jing Cui, Michelle L Frits, Roberta J Glass, Robert M Plenge, Daniel H Solomon, Michael E Weinblatt, Nancy A Shadick.   

Abstract

The objective of this review is to report on the progress of the Brigham and Women's Hospital Rheumatoid Arthritis Sequential Study (BRASS) Registry data collection and summarize previous research in understanding therapeutic response to DMARDs using clinical and genetic data. The BRASS Registry, established in 2003, is a large, single-centre, prospective and observational cohort of 1100 RA patients. Patients with either new-onset or established RA disease are recruited from the practices of rheumatologists. Annual visits collect information on demographics, 28-joint DAS-CRP3 (DAS-28-CRP3), medication use, comorbidities and functional status (Modified Health Assessment Questionnaire, Short Form Health Survey 12). Two published studies have utilized BRASS to examine genetic predictors of treatment response. In a cross-sectional study, examining the association between candidate single nucleotide polymorphisms (SNPs) and disease activity in a subset of 120 RA patients on MTX monotherapy, the minor allele of ATIC rs4673993 was associated with low disease activity (P=0.01, DAS-28-CRP3≤3.2). In an international collaboration, 55 BRASS patients receiving anti-TNF therapy were genotyped for 31 SNPs associated with the risk of RA. With our collaborators, we discovered an SNP at the protein tyrosine phosphatase, receptor type, C (PTPRC) gene locus that was associated with EULAR 'good response'. With accurate data collection and the capacity to run genome-wide association studies and SNP analyses, the BRASS Registry has the ability to determine the contribution of genetic variants to disease onset and to assess their usefulness as biomarkers for treatment response and drug toxicity.

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Year:  2010        PMID: 20847201     DOI: 10.1093/rheumatology/keq263

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  53 in total

Review 1.  [Biomarkers for prognosis of response to anti-TNF therapy of rheumatoid arthritis: Where do we stand?].

Authors:  B Stuhlmüller; K Skriner; T Häupl
Journal:  Z Rheumatol       Date:  2015-11       Impact factor: 1.372

2.  Clinical characteristics of RA patients with secondary SS and association with joint damage.

Authors:  Lindsay E Brown; Michelle L Frits; Christine K Iannaccone; Michael E Weinblatt; Nancy A Shadick; Katherine P Liao
Journal:  Rheumatology (Oxford)       Date:  2014-10-13       Impact factor: 7.580

Review 3.  Use of data from multiple registries in studying biologic discontinuation: challenges and opportunities.

Authors:  Kazuki Yoshida; Helga Radner; Arthur Kavanaugh; Yoon-Kyoung Sung; Sang-Cheol Bae; Mitsumasa Kishimoto; Kazuo Matsui; Masato Okada; Shigeto Tohma; Michael E Weinblatt; Daniel H Solomon
Journal:  Clin Exp Rheumatol       Date:  2013-10-03       Impact factor: 4.473

4.  Rheumatoid arthritis quality measures and radiographic progression.

Authors:  Sonali P Desai; Chih-Chin Liu; Heather Tory; Tabatha Norton; Michelle Frits; Siri Lillegraven; Michael Weinblatt; Jonathan Coblyn; Jinoos Yazdany; Nancy Shadick; Daniel H Solomon
Journal:  Semin Arthritis Rheum       Date:  2014-01-25       Impact factor: 5.532

5.  Fibromyalgia and the Prediction of Two-Year Changes in Functional Status in Rheumatoid Arthritis Patients.

Authors:  Hyein Kim; Jing Cui; Michelle Frits; Christine Iannaccone; Jonathan Coblyn; Nancy A Shadick; Michael E Weinblatt; Yvonne C Lee
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-11-14       Impact factor: 4.794

Review 6.  Traditional cardiovascular risk factors, inflammation and cardiovascular risk in rheumatoid arthritis.

Authors:  Katherine P Liao; Daniel H Solomon
Journal:  Rheumatology (Oxford)       Date:  2012-09-16       Impact factor: 7.580

7.  Do rheumatologists know best? An outcomes study of inconsistent users of disease-modifying anti-rheumatic drugs.

Authors:  Maria D Mjaavatten; Helga Radner; Kazuki Yoshida; Nancy A Shadick; Michelle L Frits; Christine K Iannaccone; Tore K Kvien; Michael E Weinblatt; Daniel H Solomon
Journal:  Semin Arthritis Rheum       Date:  2014-08-27       Impact factor: 5.532

8.  Detection of Rheumatoid Arthritis-Interstitial Lung Disease Is Enhanced by Serum Biomarkers.

Authors:  Tracy J Doyle; Avignat S Patel; Hiroto Hatabu; Mizuki Nishino; Guodong Wu; Juan C Osorio; Maria F Golzarri; Andres Traslosheros; Sarah G Chu; Michelle L Frits; Christine K Iannaccone; Diane Koontz; Carl Fuhrman; Michael E Weinblatt; Souheil Y El-Chemaly; George R Washko; Gary M Hunninghake; Augustine M K Choi; Paul F Dellaripa; Chester V Oddis; Nancy A Shadick; Dana P Ascherman; Ivan O Rosas
Journal:  Am J Respir Crit Care Med       Date:  2015-06-15       Impact factor: 21.405

9.  Associations of smoking and alcohol consumption with disease activity and functional status in rheumatoid arthritis.

Authors:  Bing Lu; Young Hee Rho; Jing Cui; Christine K Iannaccone; Michelle L Frits; Elizabeth W Karlson; Nancy A Shadick
Journal:  J Rheumatol       Date:  2013-12-01       Impact factor: 4.666

10.  Performance of matrix-based risk models for rapid radiographic progression in a cohort of patients with established rheumatoid arthritis.

Authors:  Siri Lillegraven; Nina Paynter; Femke H M Prince; Nancy A Shadick; Espen A Haavardsholm; Michelle L Frits; Christine K Iannaccone; Tore K Kvien; Michael E Weinblatt; Daniel H Solomon
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-04       Impact factor: 4.794

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