The Genomics/Genetics Core will be responsible for providing high-throughput gene expression data,including validation of expression of select candidate genes, as well as genotyping and sequencing services,to include DMA and RNA isolation, quantification, plating and tracking, in order to achieve the overall aims ofthe Hopkins Rheumatic Disease Research Core Center (RDRCC). This Core will support the procurementand analysis of tissue samples from a variety of complex rheumatic disorders, including scleroderma, lupus,arthritis, and vasculitis. In genomics studies, patterns of gene expression will be analyzed within eachclinical and experimental condition. This approach will allow us to determine both concordantly anddiscordantly regulated gene clusters, link these gene clusters with physiological measurements of traits, anddetermine the gene profiles responsible for the development and maintenance of well-defined phenotypes.The genetics component will facilitate the validation of the physiological importance of genes and 'high risk'alleles in well-characterized cohorts, providing services that will enable Investigators to detect novel variantsand to test for association of variants in candidate genes for a variety of rheumatic diseases. Throughmicroarray analysis, we will be able to explore novel sentinel genes and regulatory pathways involved inrheumatic diseases and facilitate the selection of candidate genes for high-throughput genotyping. The Corewill interact directly with Core A, which will assist the Core with financial management, integrate informationtechnology solutions with the Core's database system, and coordinate the development of new researchendeavors by individual investigators. These data will be linked through Core B for downstream functionalstudies of genes identified in Core C. These comprehensive human genomic studies will complement therigorous phenotypic characterization provided by Investigators in the Research Base.
Specific Aims of theCore are: 1) to provide an integrated laboratory needed to support gene expression profiling and genotypingon samples from well-characterized patients with rheumatic disorders, experiment and project management,primer and assay design, and computational/analytical activities associated with genomic and genetic data;2) provide an efficient, cost-effective high-throughput expression profiling and genotyping service to meet thedemands of diverse individual projects, including a pilot project as part of the RDRCC which aims to test forassociation of genetic variants in a priority candidate gene for scleroderma, granzyme B (GZMB).

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Center Core Grants (P30)
Project #
1P30AR053503-01
Application #
7133590
Study Section
Special Emphasis Panel (ZAR1-EHB-D (O1))
Project Start
2006-03-01
Project End
2011-02-28
Budget Start
2006-03-01
Budget End
2007-07-31
Support Year
1
Fiscal Year
2006
Total Cost
$222,004
Indirect Cost
Name
Johns Hopkins University
Department
Type
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Wohlfahrt, Alyssa; Bingham 3rd, Clifton O; Marder, Wendy et al. (2018) Responsiveness of Patient Reported Outcomes Measurement Information System (PROMIS) Measures in RA Patients Starting or Switching a DMARD. Arthritis Care Res (Hoboken) :
Leung, Ying Ying; Ogdie, Alexis; Orbai, Ana-Maria et al. (2018) Classification and Outcome Measures for Psoriatic Arthritis. Front Med (Lausanne) 5:246
Cohen, Ezra M; Edwards, Robert R; Bingham 3rd, Clifton O et al. (2018) Pain and Catastrophizing in Patients With Rheumatoid Arthritis: A Prospective Observational Cohort Study. J Clin Rheumatol :
Bartlett, S J; Gutierrez, A K; Butanis, A et al. (2018) Combining online and in-person methods to evaluate the content validity of PROMIS fatigue short forms in rheumatoid arthritis. Qual Life Res 27:2443-2451
Darrah, Erika; Yu, Fang; Cappelli, Laura C et al. (2018) Association of baseline peptidylarginine deiminase 4 autoantibodies with favorable response to treatment escalation in rheumatoid arthritis. Arthritis Rheumatol :
Cappelli, Laura C; Konig, Maximilian F; Gelber, Allan C et al. (2018) Smoking is not linked to the development of anti-peptidylarginine deiminase 4 autoantibodies in rheumatoid arthritis. Arthritis Res Ther 20:59
Igusa, Takeru; Hummers, Laura K; Visvanathan, Kala et al. (2018) Autoantibodies and scleroderma phenotype define subgroups at high-risk and low-risk for cancer. Ann Rheum Dis 77:1179-1186
McGrath-Morrow, Sharon A; Ndeh, Roland; Helmin, Kathryn A et al. (2018) DNA methylation regulates the neonatal CD4+ T-cell response to pneumonia in mice. J Biol Chem 293:11772-11783
Shi, Jing; Darrah, Erika; Sims, Gary P et al. (2018) Affinity maturation shapes the function of agonistic antibodies to peptidylarginine deiminase type 4 in rheumatoid arthritis. Ann Rheum Dis 77:141-148
Lee, Yvonne C; Bingham 3rd, Clifton O; Edwards, Robert R et al. (2018) Association Between Pain Sensitization and Disease Activity in Patients With Rheumatoid Arthritis: A Cross-Sectional Study. Arthritis Care Res (Hoboken) 70:197-204

Showing the most recent 10 out of 125 publications