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


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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