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CARD Signaling Adaptor Proteins Rheumatoid Arthritis Computational systems biology Autoimmune thyroid disease Complex genetic disease CTLA4 Middle Aged HLA-DRB1 Chains Genetic Predisposition to Disease Databases Phenotype Europe Ankylosing spondylitis Polyarthrite rhumatoïde HLA-DRB1 Boolean simulations Boolean models Rheumatoid Arthritis Patient European Continental Ancestry Group ABCB1 PTPN22 gene Shared Epitope Autoimmune thyroid diseases Autoimmune Diseases APOPTOSIS Epitopes Algerian population Haplotypes Arthritis Genetic Association Studies Adolescent Génétique Protein Tyrosine Phosphatase ATP Binding Cassette Transporter Biocuration Genotype Systems biology Anti-citrullinated protein antibodies CD Risk Factors Autoantibodies Humans Candidate gene Linkage Disequilibrium Non-Receptor Type 22 CTLA-4 Antigen C-Type Association study Biomarkers Biologie computationnelle des systèmes Logical modelling CASP7 GENE Algeria Animals Male Environment Genetic Linkage Antigens Antibodies African Continental Ancestry Group Family Family Health 80 and over Antigen Presentation Single Nucleotide Adult Rheumatoid arthritis Case-Control Studies Genetic Female Age Factors France Biological pathway Rheumatoid Young Adult In silico simulations Autoimmunity POLYMORPHISM RHEUMATOID ARTHRITIS Ankylosing Gene Frequency CT60 polymorphism Autoantibody Production Aged Tunisia Binding Sites Cancer Cohort Studies ASSOCIATION STUDY Receptors Odds Ratio Rheumatoid Factor Alleles HLA-DR Antigens Genetics Annotation standards Polymorphism Age of Onset Antirheumatic Agents Anti-Idiotypic


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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