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Phenotype Chaperonins ATP Binding Cassette Transporter Arthritis Databases Age Factors Polyarthrite rhumatoïde Epitopes Environment Antigen Presentation Middle Aged Biologie computationnelle des systèmes Female Child CD APOPTOSIS Biological pathway Antibodies Anti-Idiotypic Protein Tyrosine Phosphatase Algeria Case-Control Studies CASP7 GENE Chromosome Mapping Age of Onset Rheumatoid Arthritis Patient Ankylosing Biocuration Cancer African Continental Ancestry Group Cell Collective Humans Adolescent POLYMORPHISM Animals HLA-DR Antigens Rheumatoid Autoimmune Diseases Family Haplotypes Family Health ABCB1 Genetic Autoimmunity Autoantibodies Linkage Disequilibrium CT60 polymorphism Single Nucleotide Chaperonin 60 80 and over CTLA-4 Antigen Polymorphism CTLA4 Causal interactions Biomarkers Annotation standards Genetics Risk Factors Rheumatoid arthritis Young Adult Association study Binding Sites ASSOCIATION STUDY Tunisia Anti-citrullinated protein antibodies Genetic Linkage Alleles Ankylosing spondylitis Cell Adhesion Genotype HLA-DRB1 Chains Male France Antirheumatic Agents Complex genetic disease Logical modelling Gene Frequency Autoimmune thyroid diseases Rheumatoid Factor Genetic Predisposition to Disease European Continental Ancestry Group C-Type Autoantibody Production HLA-DRB1 RHEUMATOID ARTHRITIS Antigens Shared Epitope Non-Receptor Type 22 Carrier Proteins Aged Genetic Association Studies Computational systems biology Rheumatoid Arthritis CARD Signaling Adaptor Proteins Odds Ratio Algerian population Europe Cohort Studies Receptors Adult


EUROPEAN RESEARCH LABORATORY FOR RHEUMATOID ARTHRITIS – GENHOTEL

European research laboratory for rheumatoid arthritis - GenHotel is a research unit of University of Evry since 1999 on the Genopole campus. For nearly 20 years, our lab has focused on the aetiology of a complex disease, rheumatoid arthritis (RA). After a period consisted of 'classical' genetic analyses through linkage and association studies, results, and particularly GWAS one, lead us to develop alternative approaches. Instead of considering common genomic variants, we decided to focus on rare and specific ones, to identify biomarkers in RA and its phenotypes. In this direction, we developed a global approach to the disease by mapping all the connections. Based on these approaches, our research activity is divided into two main axis: Characterization of new RA genomic variants and Computational systems biology approaches for the construction of graphical and dynamical models of disease mechanisms to study their complex dynamic behavior. Results of the first axis feed the second project, contributing to the development of a pipeline for identifying new lines in RA drug design.



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