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


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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