The objective of the RA and SLE AMP is to design and conduct cutting-edge molecular de-construction of the cellular, genetic, and immunologic pathways of RA and SLE. The goal of the Leadership Center (LC) is to establish a collaborative network comprised of the LC and multiple Research Sites (RS), operating a program that is both scientifically and financially efficient. LCMP Components A and B (Project and Operational Management) will establish procedures for monitoring, reporting and assessing the progress of the RS and LC. In collaboration with the NLC, it will establish and implement SOPs. It will establish an integrated, AMP Network-wide project management infrastructure, and information technology for tracking and reporting all of the key activities of the AMP Network. LCMP Component C, Data Coordination and Management (DCM) will define and manage shared computational and data acquisition and create data capture protocols and interface with clinical phenotype, tissue sample and molecular assay domains, and provide training to AMP staff. LCMP Component D, Statistical Research (SR) will devise, assess and optimize quality control pipelines for phase 0 and P&F studies, conduct analyses of phase 1 data in order to recommend study designs for phase 2. It will define standards for analyses and ensure broad use of AMP data by internal an external researchers. Systems Biology and Bioinformatics (SysBio) will devise focused algorithms to analyze individual molecular data types and integrative algorithms to analyze multiple types of data in aggregate. It will generate falsifiable hypotheses linking molecular data to clinical phenotypes and assess the credibility of proposed hypotheses. The Tissue Acquisition and Research Group (TRG) will develop standardized methods for sample collection, processing and storage, QA samples and provide a computerized and centralized sample tracking system. Together, these components of the LC will provide the support and infrastructure for operation of the AMP Network toward its goals of identifying biomarkers and targets for treating RA and SLE.

Public Health Relevance

Rheumatoid Arthritis and Systemic Lupus Erythematosus are inflammatory diseases that affect the skin, joints and kidneys. White blood cells and antibodies accumulate and damage these tissues causing pain and organ failure. We have outlined a plan to identify the molecules that regulate the inflammation that cause these diseases in order to define the best targets for the next generation of drugs to treat these diseases.

National Institute of Health (NIH)
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Exploratory/Developmental Cooperative Agreement Phase I (UH2)
Project #
Application #
Study Section
Special Emphasis Panel (ZAR1)
Program Officer
Serrate-Sztein, Susana
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Brigham and Women's Hospital
United States
Zip Code
Der, Evan; Ranabothu, Saritha; Suryawanshi, Hemant et al. (2017) Single cell RNA sequencing to dissect the molecular heterogeneity in lupus nephritis. JCI Insight 2:
Fonseka, Chamith Y; Rao, Deepak A; Raychaudhuri, Soumya (2017) Leveraging blood and tissue CD4+ T cell heterogeneity at the single cell level to identify mechanisms of disease in rheumatoid arthritis. Curr Opin Immunol 49:27-36
Hinks, A; Bowes, J; Cobb, J et al. (2017) Fine-mapping the MHC locus in juvenile idiopathic arthritis (JIA) reveals genetic heterogeneity corresponding to distinct adult inflammatory arthritic diseases. Ann Rheum Dis 76:765-772
Frisell, Thomas; Hellgren, Karin; Alfredsson, Lars et al. (2016) Familial aggregation of arthritis-related diseases in seropositive and seronegative rheumatoid arthritis: a register-based case-control study in Sweden. Ann Rheum Dis 75:183-9
Okada, Yukinori; Suzuki, Akari; Ikari, Katsunori et al. (2016) Contribution of a Non-classical HLA Gene, HLA-DOA, to the Risk of Rheumatoid Arthritis. Am J Hum Genet 99:366-74
Ellinghaus, David; Jostins, Luke; Spain, Sarah L et al. (2016) Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci. Nat Genet 48:510-8
Pouget, Jennie G; Gonçalves, Vanessa F; Schizophrenia Working Group of the Psychiatric Genomics Consortium et al. (2016) Genome-Wide Association Studies Suggest Limited Immune Gene Enrichment in Schizophrenia Compared to 5 Autoimmune Diseases. Schizophr Bull 42:1176-84
Han, Buhm; Duong, Dat; Sul, Jae Hoon et al. (2016) A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping. Hum Mol Genet 25:1857-66
Gutierrez-Achury, Javier; Zorro, Maria Magdalena; Ricaño-Ponce, Isis et al. (2016) Functional implications of disease-specific variants in loci jointly associated with coeliac disease and rheumatoid arthritis. Hum Mol Genet 25:180-90
Han, Buhm; Pouget, Jennie G; Slowikowski, Kamil et al. (2016) A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases. Nat Genet 48:803-10

Showing the most recent 10 out of 21 publications