The UAB Multidisciplinary Clinical Research Center (MCRC) is a multidisciplinary program uniquely positioned to promote research related to the causes, diagnoses, treatments and improved care of patients with arthritis and musculoskeletal diseases. The MCRC builds on the capabilities of the UAB Arthritis and vlusculoskeletal Center and its thematic workgroups (Neurobehavioral Medicine;Prevention, Outcomes, and Rehabilitation;Experimental Therapeutics;Genetics and Functional Genomics;Immunology and Autoimmunity;Bone, Cartilage and Connective Tissue). Centered on an outstanding Methodology Core comprised of faculty in biostatistics (Redden, Howard), statistical genetics (Beasley, Liu, Tiwari) and outcomes/health services research (Kiefe, Pisu, Wray), all with a proven record of collaboration in clinical investigation in musculoskeletal diseases, this MCRC proposal includes four additional supporting cores and four innovative projects: No. 1, Genetic and Molecular Markers of Methotrexate Efficacy and Toxicity in Early RA (Arnett);No, 2, Ethnic Disparities in Total Joint Arthroplasty: Pain and Stress-Related Mediators (Bradley);No. 3, Predictors of Rheumatoid Arthritis (RA) Severity in African Americans (Bridges);and No. 4, Improving Care and Refining Epidemiology in Osteoporosis (Saag). The Administrative Unit of the MCRC coordinates MCRC activities while setting the strategic agenda, facilitating interactions and collaborations, promoting scientific development, and performing continuous evaluation of ongoing MCRC programs. To assist the Center Director in his effort to ensure the highest quality in the operation of the UAB-MCRC, five committees have been established: the UAB-MCRC Executive Committee, the Scientific Cores Advisory Committee, the Data Safety and Monitoring Board, the Internal Research Advisory Committee, and the External Research Advisory Committee. These advisory groups will assist the Center Director in maximizing the strengths of the MCRC's projects, as well as in identifying and correcting any weaknesses. The Scientific Development Program, which promotes the introduction and development of new techniques and nurtures young and new faculty in musculoskeletal disease research, ensures the continued energy and vitality of this MCRC.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Comprehensive Center (P60)
Project #
5P60AR048095-10
Application #
8304150
Study Section
Special Emphasis Panel (ZAR1-CHW-G (J2))
Program Officer
Wang, Yan Z
Project Start
2002-03-15
Project End
2014-06-30
Budget Start
2012-07-01
Budget End
2014-06-30
Support Year
10
Fiscal Year
2012
Total Cost
$974,754
Indirect Cost
$468,471
Name
University of Alabama Birmingham
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Li, Peng; Redden, David T (2015) Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials. BMC Med Res Methodol 15:38
Cui, Xiangqin; Yu, Shaohua; Tamhane, Ashutosh et al. (2015) Simple regression for correcting ΔCt bias in RT-qPCR low-density array data normalization. BMC Genomics 16:82
Deshane, Jessy S; Redden, David T; Zeng, Meiqin et al. (2015) Subsets of airway myeloid-derived regulatory cells distinguish mild asthma from chronic obstructive pulmonary disease. J Allergy Clin Immunol 135:413-424.e15
Tang, Qi; Danila, Maria I; Cui, Xiangqin et al. (2015) Expression of Interferon-γ Receptor Genes in Peripheral Blood Mononuclear Cells Is Associated With Rheumatoid Arthritis and Its Radiographic Severity in African Americans. Arthritis Rheumatol 67:1165-70
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Yang, Celeste; Bartolucci, Alfred A; Cui, Xiangqin (2015) Multigroup Equivalence Analysis for High-Dimensional Expression Data. Cancer Inform 14:253-63
Li, Peng; Redden, David T (2015) Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes. Stat Med 34:281-96
Danila, M I; Westfall, A O; Raman, K et al. (2015) The role of genetic variants in CRP in radiographic severity in African Americans with early and established rheumatoid arthritis. Genes Immun 16:446-51
Tamhane, Ashutosh; McGwin Jr, Gerald; Redden, David T et al. (2014) Complementary and alternative medicine use in African Americans with rheumatoid arthritis. Arthritis Care Res (Hoboken) 66:180-9
Aslibekyan, Stella; Sha, Jin; Redden, David T et al. (2014) Gene-body mass index interactions are associated with methotrexate toxicity in rheumatoid arthritis. Ann Rheum Dis 73:785-6

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